Dissertations / Theses: 'Distributed Sensor Network'

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Karaaslan, Ibrahim. "Anti-sensor Network: Distortion-based Distributed Attack In Wireless Sensor Networks." Master's thesis, METU, 2008. http://etd.lib.metu.edu.tr/upload/3/12609276/index.pdf.

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In this thesis, a novel anti-sensor network paradigm is introduced against wireless sensor networks (WSN). Anti-sensor network (ASN) aims to destroy application reliability by adaptively and anonymously introducing adequate level of artificial distortion into the communication of the event features transported from the sensor nodes (SN) to the sink. ASN is composed of anti-sensor nodes (aSN) randomly distributed over the sensor network field. aSNs pretend to be SNs tomaintain anonymity and so improve resiliency against attack detection and prevention mechanisms. Performance evaluations via mathematical analysis and simulation experiments show that ASN can effectively reduce the application reliability of WSN.

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Jingjing, Hao. "Distributed sensor fault detection and isolation over wireless sensor network." Doctoral thesis, Universite Libre de Bruxelles, 2017. http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/254423.

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Wireless sensor networks (WSNs) can provide new methods for information gathering for a variety of applications. In order to ensure the network quality of service, the quality of the measurements has to be guaranteed. Distributed fault detection and isolation schemes are preferred to centralized solutions to diagnose faulty sensors in WSNs. Indeed the first approach avoids the need for a central node that collects information from every sensor node, and hence it limits complexity and energy cost while improving reliability.In the case of state estimation over distributed architectures, the sensor faults can be propagated in the network during the information exchanging process. To build a reliable state estimate one has to make sure that the measurements issued by the different sensors are fault free. That is one of the motivations to build a distributed fault detection and isolation (FDI) system that generates an alarm as soon as a measurement is subject to a fault (has drift, cdots ). In order to diagnose faults with small magnitude in wireless sensor networks, a systematic methodology to design and implement a distributed FDI system is proposed. It resorts to distinguishability measures to indicate the performance of the FDI system and to select the most suitable node(s) for information exchange in the network with a view to FDI. It allows one to determine the minimum amount of data to be exchanged between the different nodes for a given FDI performance. In this way, the specifications for FDI can be achieved while the communication and computation cost are kept as small as possible. The distributed FDI systems are designed both in deterministic and stochastic frameworks. They are based on the parity space approach that exploits spacial redundancy as well as temporal redundancy in the context of distributed schemes. The decision systems with the deterministic method and the stochastic method are designed not only to detect a fault but also to distinguish which fault is occurring in the network. A case study with a WSN is conducted to verify the proposed method. The network is used to monitor the temperature and humidity in a computer room. The distributed FDI system is validated both with simulated data and recorded data.
Doctorat en Sciences de l'ingénieur et technologie
info:eu-repo/semantics/nonPublished

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Murukesvan, Abhinash. "Distributed Overlays in Wireless Sensor Networks." Thesis, KTH, Kommunikationssystem, CoS, 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-92202.

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This thesis investigates two architectures and compares their suitability for selective application and user differentiation in sensor networks. A hierarchical architecture consisting of more capable cluster heads surrounded by weaker nodes is compared to a flat architecture of equally powerful nodes. In both architectures there exists a logical overlay network that connects the nodes, depending on the application and user. Furthermore, a broadcast encryption scheme is proposed to aid in distributing keys to nodes for secure communication and to maintain these restricted groups.
applikation och användar differentiering i trådlösa sensor nätverk. En hierarkisk arkitekturbestående av kraftfullare sensor noder omgiven av mindre kraftfulla sensor noder jämförsmed en platt arkitektur bestående av lika kraftfulla sensor noder. I båda arkitekturer existerarett logiskt lager ovanpå stacken som kopplar noder beroende på applikation och användare,helt oberoende av geografisk placering. Utöver det, bör en nyckel management schema användas till att distribuera nycklar tillnoderna för säker kommunikation och att bibehålla dessa slutna grupper.

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Luh, William. "Distributed secrecy for information theoretic sensor network models." [College Station, Tex. : Texas A&M University, 2008. http://hdl.handle.net/1969.1/ETD-TAMU-2949.

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Jabeen, Farhana. "Distributed spatial analysis in wireless sensor networks." Thesis, University of Manchester, 2011. https://www.research.manchester.ac.uk/portal/en/theses/distributed-spatial-analysis-in-wireless-sensor-networks(f8a1f71a-81b0-4dc7-b520-b90a2393a61e).html.

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Wireless sensor networks (WSNs) allow us to instrument the physical world in novel ways, providing detailed insight that has not been possible hitherto. Since WSNs provide an interface to the physical world, each sensor node has a location in physical space, thereby enabling us to associate spatial properties with data. Since WSNs can perform periodic sensing tasks, we can also associate temporal markers with data. In the environmental sciences, in particular, WSNs are on the way to becoming an important tool for the modelling of spatially and temporally extended physical phenomena. However, support for high-level and expressive spatial-analytic tasks that can be executed inside WSNs is still incipient. By spatial analysis we mean the ability to explore relationships between spatially-referenced entities (e.g., a vineyard, or a weather front) and to derive representations grounded on such relationships (e.g., the geometrical extent of that part of a vineyard that is covered by mist as the intersection of the geometries that characterize the vineyard and the weather front, respectively). The motivation for this endeavour stems primarily from applications where important decisions hinge on the detection of an event of interest (e.g., the presence, and spatio-temporal progression, of mist over a cultivated field may trigger a particular action) that can be characterized by an event-defining predicate (e.g., humidity greater than 98 and temperature less than 10). At present, in-network spatial analysis in WSN is not catered for by a comprehensive, expressive, well-founded framework. While there has been work on WSN event boundary detection and, in particular, on detecting topological change of WSN-represented spatial entities, this work has tended to be comparatively narrow in scope and aims. The contributions made in this research are constrained to WSNs where every node is tethered to one location in physical space. The research contributions reported here include (a) the definition of a framework for representing geometries; (b) the detailed characterization of an algebra of spatial operators closely inspired, in its scope and structure, by the Schneider-Guting ROSE algebra (i.e., one that is based on a discrete underlying geometry) over the geometries representable by the framework above; (c) distributed in-network algorithms for the operations in the spatial algebra over the representable geometries, thereby enabling (i) new geometries to be derived from induced and asserted ones, and (ii)topological relationships between geometries to be identified; (d) an algorithmic strategy for the evaluation of complex algebraic expressions that is divided into logically-cohesive components; (e) the development of a task processing system that each node is equipped with, thereby with allowing users to evaluate tasks on nodes; and (f) an empirical performance study of the resulting system.

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Pothiawala, Javed. "Analysis of a two-sensor tandem distributed detection network." Thesis, Massachusetts Institute of Technology, 1989. http://hdl.handle.net/1721.1/14418.

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Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1989.
Includes bibliographical references.
Support provided by the Office of Naval Research. N00014-84-K-0519 (NR 649-003)
by Javed Pothiawala.
M.S.

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Li, Junlin. "Distributed estimation in resource-constrained wireless sensor networks." Diss., Atlanta, Ga. : Georgia Institute of Technology, 2008. http://hdl.handle.net/1853/26633.

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Thesis (Ph.D)--Electrical and Computer Engineering, Georgia Institute of Technology, 2009.
Committee Chair: Ghassan AlRegib; Committee Member: Elliot Moore; Committee Member: Monson H. Hayes; Committee Member: Paul A. Work; Committee Member: Ying Zhang. Part of the SMARTech Electronic Thesis and Dissertation Collection.

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Kulathumani, Vinodkrishnan. "Network Abstractions for Designing Reliable Applications Using Wireless Sensor Networks." The Ohio State University, 2008. http://rave.ohiolink.edu/etdc/view?acc_num=osu1211560039.

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Wu, Wenbin. "Delay-tolerant data delivery in a distributed sensor network testbed." Thesis, Uppsala universitet, Institutionen för informationsteknologi, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-174071.

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Sensei-UU testbed is an inexpensive, expandable, relocatable testbed, which is designed by CoRe group in Uppsala University. It provides wireless sensor network (WSN) experiments with repeatable mobility. However, end nodes are always deployed in extreme environments where connectivity is not able to be guaranteed and Sensei-UU testbed lacks the ability to deal with this case. Reliable data delivery, therefore, is an important feature of delay tolerant network and it will extend the usage of Sensei-UU testbed. This thesis work investigates Sensei-UU testbed and improves it to support delay-tolerant data delivery. The thesis report starts with an introduction of related background concepts regarding wireless sensor network, Sensei-UU testbed and delay tolerant network. Then a detailed technical solution of delivering delay-tolerant data in Sensei-UU testbed is presented in terms of system analysis, design and implementation.

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Askgaard, Jens Martin Breivik. "Sea Cage Gateway - A Distributed Sensor Management Network in ActorFrame." Thesis, Norwegian University of Science and Technology, Department of Telematics, 2006. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-10139.

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This master thesis has been written in connection with the ongoing Sea Cage Gateway (SCG) project, a project investigating the possibility of remotely administering fish farming facilities. These facilities consist of sea cages placed offshore and connected to the mainland through wireless communication technologies. The sea cages all contain a number of sensors optimizing production and increasing safety. Not only must this sensor data be read, it must also be transported, collected, interpreted, handled, saved and retrieved. In addition, it is necessary to provide backup communication links in case of failures in the main communication systems. The system should be as autonomous as possible, allowing it to be unmanned for longer periods of time. This thesis has further investigated the possibility of remotely controlling and administering a fish farm through distributed nodes over wireless communication links. As a basis for this thesis domain descriptions from previous master theses written in connection with the SCG-project have been used. This thesis has also aimed to collect inspiration from other domains and concepts which have similarities with the SCG-project. With the increasing numbers of nodes and communication links present at the fish farm installations, areas such as grid computing and sensor networks have many applicable principles for the SCG-system. These principles have been integrated into the system design to give the basis for further such functionality in the SCG-domain. In addition to the areas of grid computing and sensor networks, the current and latest wireless communication technologies available for providing the services required by the SCG-system have been presented. The communication links also influence the system design since their connection types must be handled by the SCG-system elements. The SCG-system proposed has been designed and implemented with ActorFrame. The implemented system has functioned as a demonstrator for the main principles presented in the design. It has incorporated a GPS-receiver and a GPRS-modem to represent a sensor on a sea cage and a redundant communication link. The system implemented reports GPS-data to a central unit and issues alerts upon sensor data deviations (sea cage out of position). Furthermore, the demonstrator can detect a failed communication link and switch to the backup GPRS-modem, generate alarms, and continue to provide basic services. All elements and their status are reported and registered in a database and are presented through a dynamic web interface. The demonstrator has shown that ActorFrame can be utilized to provide the necessary functionality the SCG-domain requires. A few improvements are proposed for the framework to increase the flexibility and performance of the system, especially in the area of handling the distribution of actors on independent nodes and how the heterogeneous network technologies present in SCG-system require a higher-level of network-awareness on behalf of the application. This thesis has also suggested several possible extensions and future areas of work.

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Ying, Hong [Verfasser]. "Distributed Intelligent Sensor Network for Neurological Rehabilitation Research / Hong Ying." Aachen : Shaker, 2011. http://d-nb.info/1069049816/34.

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Jeong, Dong Hwa. "DISTRIBUTED WIRELESS SENSOR NETWORK SYSTEMS: THEORETICAL FRAMEWORK, ALGORITHMS, AND APPLICATIONS." Case Western Reserve University School of Graduate Studies / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=case1436541959.

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Fernandez, Leon. "A Distributed Algorithm for Bootstrapping a Wireless Visual Sensor Network." Thesis, KTH, Skolan för elektro- och systemteknik (EES), 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-214734.

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Transmission of visual data can be quite demandingin terms of energy and bandwidth. Therefore, it is important thatall the sensors in a Wireless Visual Sensor Network get a goodsignal quality for their transmissions when they come online forthe first time. The purpose of this report is to design, simulate andevaluate an algorithm that the sensors can use to perform thisinitialization, i.e. bootstrapping. First the bootstrapping processis modeled as an NP-hard optimization problem. Then, by takinginto account what information is directly available to a sensor,the algorithm is designed to be distributed in order to saveenergy and achieve scalability of the network. To avoid excessivecomputing times due to the NP-hardness of the problem, thealgorithm is designed to approximate the theoretical solution.The algorithm is implemented and tested in a software simulationenvironment that was built as part of the project. The tests showthat the algorithm performs close to optimal for small networksand retains a good approximation ratio for medium to largenetworks.

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Boyer, Kyle, Laura Brubaker, Kyle Everly, RIchard Herriman, Paul Houston, Sean Ruckle, Rory Scobie, and Ian Ulanday. "A DISTRIBUTED SENSOR NETWORK FOR AN OFF-ROAD RACING VEHICLE." International Foundation for Telemetering, 2017. http://hdl.handle.net/10150/627007.

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The University of Arizona Baja Racing Team competes annually in an intense off-road racing competition. This year’s car features a distributed sensor network capable of displaying useful data to the driver, the benefits and technical aspects of which are examined by this paper. Based on the ATmega2560 chip, the system is USB programmable, features hot-swappable batteries, and includes SMD components. Each sensor is custom designed, functions as an I2C slave, and contains its own ATtiny85 microcontroller allowing all the sensors to be addressable and enables them to be wired in parallel. The system also includes interrupts for almost every single sensor, which allows for more accurate data collection and guarantees that no important data will be missed. A custom-made board was created to connect these sensors and serve as a microcontroller data logger based on an Arduino reference design.

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Al-Tarazi, Kossai Abdalah Jayaweera Sudharman K. "Asymptotic fusion performance in a power constrained, distributed wireless sensor network." Diss., Click here for available full-text of this thesis, 2006. http://library.wichita.edu/digitallibrary/etd/2006/t049.pdf.

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Thesis (M.S.)--Wichita State University, Dept. of Electrical and Computer Engineering.
"May 2006." Title from PDF title page (viewed on October 30, 2006). Thesis adviser: Sudharman K. Jayaweera. Includes bibliographic references (leaves 44-48).

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Techateerawat, Piya, and piyat33@yahoo com. "Key distribution and distributed intrusion detection system in wireless sensor network." RMIT University. Electrical and Computer Systems Engineering, 2008. http://adt.lib.rmit.edu.au/adt/public/adt-VIT20080729.162610.

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This thesis proposes a security solution in key management and Intrusion Detection System (IDS) for wireless sensor networks. It addresses challenges of designing in energy and security requirement. Since wireless communication consumes the most energy in sensor network, transmissions must be used efficiently. We propose Hint Key Distribution (HKD) for key management and Adaptive IDS for distributing activated IDS nodes and cooperative operation of these two protocols. HKD protocol focuses on the challenges of energy, computation and security. It uses a hint message and key chain to consume less energy while self-generating key can secure the secret key. It is a proposed solution to key distribution in sensor networks. Adaptive IDS uses threshold and voting algorithm to distribute IDS through the network. An elected node is activated IDS to monitor its network and neighbors. A threshold is used as a solution to reduce number of repeated activations of the same node. We attempt to distribute the energy use equally across the network. In a cooperative protocol, HKD and Adaptive IDS exchange information in order to adjust to the current situation. The level of alert controls the nature of the interaction between the two protocols.

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Breza, Michael. "Bio-inspired tools for a distributed wireless sensor network operating system." Thesis, Imperial College London, 2013. http://hdl.handle.net/10044/1/14404.

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The problem which I address in this thesis is to find a way to organise and manage a network of wireless sensor nodes using a minimal amount of communication. To find a solution I explore the use of Bio-inspired protocols to enable WSN management while maintaining a low communication overhead. Wireless Sensor Networks (WSNs) are loosely coupled distributed systems comprised of low-resource, battery powered sensor nodes. The largest problem with WSN management is that communication is the largest consumer of a sensor node’s energy. WSN management systems need to use as little communication as possible to prolong their operational lifetimes. This is the Wireless Sensor Network Management Problem. This problem is compounded because current WSN management systems glue together unrelated protocols to provide system services causing inter-protocol interference. Bio-inspired protocols provide a good solution because they enable the nodes to self-organise, use local area communication, and can combine their communication in an intelligent way with minimal increase in communication. I present a combined protocol and MAC scheduler to enable multiple service protocols to function in a WSN at the same time without causing inter-protocol interference. The scheduler is throughput optimal as long as the communication requirements of all of the protocols remain within the communication capacity of the network. I show that the scheduler improves a dissemination protocol’s performance by 35%. A bio-inspired synchronisation service is presented which enables wireless sensor nodes to self organise and provide a time service. Evaluation of the protocol shows an 80% saving in communication over similar bio-inspired synchronisation approaches. I then add an information dissemination protocol, without significantly increasing communication. This is achieved through the ability of our bio-inspired algorithms to combine their communication in an intelligent way so that they are able to offer multiple services without requiring a great deal of inter-node communication.

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George, Dwyane B. "Distributed sensor network for sensing educational interaction in early childhood classrooms." Thesis, Massachusetts Institute of Technology, 2016. http://hdl.handle.net/1721.1/106023.

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Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2016.
This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
Cataloged from student-submitted PDF version of thesis.
Includes bibliographical references (pages 59-60).
For teachers in Montessori schools, making notes of their observations of students is difficult, error prone, and does not scale well. Observations help teachers individualize their methods in early childhood classrooms. Sensei is the first system designed to measure social and classroom interaction using a distributed sensor network. Unobtrusive sensors measure proximity between each node in a dynamic range-based mesh network and establish interaction context through motion and ambient sound data. In this system, I designed a distributed sensor network protocol to collect sensory data, a synchronized network event scheduling scheme to establish a shared time basis, and a wireless data transfer protocol to facilitate data collection from the network. The network protocol interfaces with the sensor's hardware facilities to capture a high fidelity data set. The network event scheduling scheme creates a synchronized time basis that allows battery efficient data collection at a high time resolution for social interaction. The wireless data transfer protocol provides a teacher-friendly interface for extracting data stored in the network. This system is useful for further research in understanding learning and social networks in early childhood environments. Sensei is currently deployed in three Montessori schools and I have evaluated the effectiveness of the system with teachers. My contributions in this system are a protocol that captures sensory data, an event scheduling scheme that establishes a synchronized time basis, and a wireless data transfer protocol that facilitates data transfer from the network. Sensei helps discover observation insights that would have otherwise been lost.
by Dwyane B. George.
M. Eng.

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Nurellari, Edmond. "Distributed detection and estimation in wireless sensor networks : resource allocation, fusion rules, and network security." Thesis, University of Leeds, 2017. http://etheses.whiterose.ac.uk/17669/.

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This thesis addresses the problem of detection of an unknown binary event. In particular, we consider centralized detection, distributed detection, and network security in wireless sensor networks (WSNs). The communication links among SNs are subject to limited SN transmit power, limited bandwidth (BW), and are modeled as orthogonal channels with path loss, flat fading and additive white Gaussian noise (AWGN). We propose algorithms for resource allocations, fusion rules, and network security. In the first part of this thesis, we consider the centralized detection and calculate the optimal transmit power allocation and the optimal number of quantization bits for each SN. The resource allocation is performed at the fusion center (FC) and it is referred as a 'centralized' approach. We also propose a novel fully 'distributed' algorithm to address this resource allocation problem. What makes this scheme attractive is that the SNs share with their neighbors just their individual transmit power at the current states. Finally, the optimal soft fusion rule at the FC is derived. But as this rule requires a-priori knowledge that is difficult to attain in practice, suboptimal fusion rules are proposed that are realizable in practice. The second part considers a fully distributed detection framework and we propose a two-step distributed quantized fusion rule algorithm where in the first step the SNs collaborate with their neighbors through error-free, orthogonal channels. In the second step, local 1-bit decisions generated in the first step are shared among neighbors to yield a consensus. A binary hypothesis testing is performed at any arbitrary SN to optimally declare the global decision. Simulations show that our proposed quantized two-step distributed detection algorithm approaches the performance of the unquantized centralized (with a FC) detector and its power consumption is shown to be 50% less than the existing (unquantized) conventional algorithm. Finally, we analyze the detection performance of under-attack WSNs and derive attacking and defense strategies from both the Attacker and the FC perspective. We re-cast the problem as a minimax game between the FC and Attacker and show that the Nash Equilibrium (NE) exists. We also propose a new non-complex and efficient reputation-based scheme to identify these compromised SNs. Based on this reputation metric, we propose a novel FC weight computation strategy ensuring that the weights for the identified compromised SNs are likely to be decreased. In this way, the FC decides how much a SN should contribute to its final decision. We show that this strategy outperforms the existing schemes.

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Gao, Zhenning. "Parallel and Distributed Implementation of A Multilayer Perceptron Neural Network on A Wireless Sensor Network." University of Toledo / OhioLINK, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1383764269.

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Whipps, Gene Thomas. "Contributions to Distributed Detection and Estimation over Sensor Networks." The Ohio State University, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=osu1502970194073045.

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Aung, Aung. "Distributed Algorithms for Improving Wireless Sensor Network Lifetime with Adjustable Sensing Range." Digital Archive @ GSU, 2007. http://digitalarchive.gsu.edu/cs_theses/42.

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Wireless sensor networks are made up of a large number of sensors deployed randomly in an ad-hoc manner in the area/target to be monitored. Due to their weight and size limitations, the energy conservation is the most critical issue. Energy saving in a wireless sensor network can be achieved by scheduling a subset of sensor nodes to activate and allowing others to go into low power sleep mode, or adjusting the transmission or sensing range of wireless sensor nodes. In this thesis, we focus on improving the lifetime of wireless sensor networks using both smart scheduling and adjusting sensing ranges. Firstly, we conduct a survey on existing works in literature and then we define the sensor network lifetime problem with range assignment. We then propose two completely localized and distributed scheduling algorithms with adjustable sensing range. These algorithms are the enhancement of distributed algorithms for fixed sensing range proposed in the literature. The simulation results show that there is almost 20 percent improvement of network lifetime when compare with the previous approaches.

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Mei, Jian. "Distributed Coverage Control of Multi-Agent System in Convective–Diffusive Time Evolving Environments." Thesis, Université d'Ottawa / University of Ottawa, 2019. http://hdl.handle.net/10393/39601.

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Using multi-agent systems to execute a variety of missions such as environmental monitoring and target tracking has been made possible by the advances in control techniques and computational capabilities. Communication abilities between agents allow them to coact and execute several coordinated missions, among which there is optimal coverage. The optimal coverage problem has several applications in engineering theory and practice, as for example in environmental monitoring, which belongs to the broad class of resource allocation problems, in which a ﬁnite number of mobile agents have to be deployed in a given spatial region with the assignment of a sub-region to each agents with respect to a suitable coverage metric. The coverage metric encodes the sensing performance of individual agent with respect to points inside the domain of interest, and a distribution of risk density. Usually the risk density function measures the relative importance assigned to inner regions. The optimal coverage problem in which the risk density is time-invariant has been widely studied in previous research. The solution to this class of problems is centroidal Voronoi tessellation, in which each agent is located on the centroid of the related Voronoi cell. However, there are many scenarios that require to be modelled by time-varying risk density rather than time-invariant one, as for example in area coverage problems where the environment evolves independently of the evolution for the robotic agents deployed to cover the area. In this work, the changing environment is modeled by a time-varying density function which is governed by a convection-diffusion equation. Mixed boundary conditions are considered to model a scenario in which a diffusive substance (e.g., oil from a leaking event or radioactive material from a nuclear accident) enters the area with convective component from the boundary. A non-autonomous feed- back law is employed whose generated trajectories maximize the coverage metric. The asymptotic stability of the multi-agent system is proven by using Barbalat’s lemma, and then theoretical predictions are illustrated by several simulations that represent idealized scenarios.

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SHAH, PAYAL D. "DISTRIBUTED HEBBIAN INFERENCE OF ENVIRONMENT STRUCTURE IN SELF-ORGANIZED SENSOR NETWORKS." University of Cincinnati / OhioLINK, 2007. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1177083367.

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Dehmelt, Chris. "Integration of Smart Sensor Buses into Distributed Data Acquisition Systems." International Foundation for Telemetering, 2005. http://hdl.handle.net/10150/604924.

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ITC/USA 2005 Conference Proceedings / The Forty-First Annual International Telemetering Conference and Technical Exhibition / October 24-27, 2005 / Riviera Hotel & Convention Center, Las Vegas, Nevada
As requirements for the amount of test data continues to increase, instrumentation engineers are under pressure to deploy data acquisition systems that reduce the amount of associated wiring and overall system complexity. Smart sensor buses have been long considered as one approach to address this issue by placing the appropriate signal conditioners close to their respective sensors and providing data back over a common bus. However, the inability to adequately synchronize the operation of the sensor bus to the system master, which is required to correlate analog data measurements, has precluded their use. The ongoing development and deployment of smart sensor buses has reached the phase in which integration into a larger data acquisition system environment must be considered. Smart sensor buses, such as IntelliBus™, have their own unique mode of operation based on a pre-determined sampling schedule, which however, is typically asynchronous to the operation of the (master or controller) data acquisition system and must be accounted for when attempting to synchronize the two systems. IRIG Chapter 4 type methods for inserting data into a format, as exemplified by the handling of MIL-STD-1553 data, could be employed, with the disadvantage of eliminating any knowledge as to when a particular measurement was sampled, unless it is time stamped (similar to the time stamping function that is provided to mark receipt of 1553 command words). This can result in excessive time data as each sensor bus can manage a large number of analog sensor inputs and multiple sensor buses must be accommodated by the data acquisition system. The paper provides an example, using the Boeing developed IntelliBus system and the L3 Communications - Telemetry East NetDAS system, of how correlated data can be acquired from a smart sensor bus as a major subsystem component of a larger integrated data acquisition system. The focus will be specifically on how the IntelliBus schedule can be synchronized to that of the NetDAS formatter. Sample formats will be provided along with a description of how a standalone NetDAS stack and an integrated NetDAS-IntelliBus system would be programmed to create the required output, taking into account the unique sampling characteristics of the sensor bus.

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Serra, Torrens Jordi. "Completion time minimization for distributed feature extraction in a visual sensor network testbed." Thesis, KTH, Kommunikationsnät, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-156883.

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Real-time detection and extraction of visual features in wireless sensor networks is a challenging task due to its computational complexity and the limited processing power of the nodes. A promising approach is to distribute the workload to other nodes of the network by delegating the processing of different regions of the image to different nodes. In this work a solution to optimally schedule the loads assigned to each node is implemented on a real visual sensor network testbed. To minimize the time required to process an image, the size of the subareas assigned to the cooperators are calculated by solving a linear programming problem taking into account the transmission and processing speed of the nodes and the spatial distribution of the visual features. In order to minimize the global workload, an optimal detection threshold is predicted such that only the most significant features are extracted. The solution is implemented on a visual sensor network testbed consisting of BeagleBone Black computers capable of communicating over IEEE 802.11. The capabilities of the testbed are also extended by adapting a reliable transmission protocol based on UDP capable of multicast transmission. The performance of the implemented algorithms is evaluated on the testbed.

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Dey, Sanjoy Namuduri Kameswara. "Performance analysis of CCR based distributed sensor network based on optical wireless communication." A link to full text of this thesis in SOAR, 2008. http://hdl.handle.net/10057/2007.

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Thesis (M.S.)--Wichita State University, College of Engineering, Dept. of Electrical and Computer Engineering.
Copyright 2008 by Sanjoy Dey. All Rights Reserved. Includes bibliographical references (leaves 16-18).

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Roa, Christian Raphael. "Smart Power Module for Distributed Sensor Power Network of an Unmanned Ground Vehicle." Thesis, Virginia Tech, 2014. http://hdl.handle.net/10919/64467.

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Energy efficiency is a driving factor in modern electronic design particularly in power conversion where conversion losses directly set the upper limit of system efficiency. A wide variety of commercially available DC-DC conversion elements have inefficiencies in the 90-97% range. The efficiency range of most common commercial-off-the-shelf (COTS) power supplies is 75-85%, highlighting the fact that COTS power supplies have not kept pace with efficiency improvements of modern conversion elements. Unmanned ground vehicles (UGVs) is an application where efficiency can be crucial in extending tight power budgets. In autonomous ground vehicles, geographic diversity with regard to sensor location is inherent because sensor orientation and placement are crucial to performance. Sensor power, therefore, is also distributed by nature of the devices being supplied. This thesis presents the design and evaluation of a smart power module used to implement a distributed power network in an autonomous ground vehicle. The module conversion element demonstrated an average efficiency of 96.7% for loads from 1-4A. Current monitoring and an adjustable output current limit were provided through a second circuit board within the same module enclosure. The module processing element sends periodic updates and receives commands over a CAN bus. The smart power modules successfully supply critical sensing and communication components in an operational autonomous ground vehicle.
Master of Science

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Hiremath, Naveen. "SenMinCom pervasive distributed dynamic sensor data mining for effective commerce /." unrestricted, 2008. http://etd.gsu.edu/theses/available/etd-07172008-230611/.

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Thesis (M.S.)--Georgia State University, 2008.
Title from file title page. Yanqing Zhang, committee chair; Rajshekhar Sunderraman, Ying Zhu, committee members. Electronic text (64 p. : ill. (some col.)) : digital, PDF file. Description based on contents viewed Nov. 19, 2008. Includes bibliographical references (p. 59-64).

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Ocean, Michael James. "The Sensor Network Workbench: Towards Functional Specification, Verification and Deployment of Constrained Distributed Systems." Boston University Computer Science Department, 2009. https://hdl.handle.net/2144/1713.

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As the commoditization of sensing, actuation and communication hardware increases, so does the potential for dynamically tasked sense and respond networked systems (i.e., Sensor Networks or SNs) to replace existing disjoint and inflexible special-purpose deployments (closed-circuit security video, anti-theft sensors, etc.). While various solutions have emerged to many individual SN-centric challenges (e.g., power management, communication protocols, role assignment), perhaps the largest remaining obstacle to widespread SN deployment is that those who wish to deploy, utilize, and maintain a programmable Sensor Network lack the programming and systems expertise to do so. The contributions of this thesis centers on the design, development and deployment of the SN Workbench (snBench). snBench embodies an accessible, modular programming platform coupled with a flexible and extensible run-time system that, together, support the entire life-cycle of distributed sensory services. As it is impossible to find a one-size-fits-all programming interface, this work advocates the use of tiered layers of abstraction that enable a variety of high-level, domain specific languages to be compiled to a common (thin-waist) tasking language; this common tasking language is statically verified and can be subsequently re-translated, if needed, for execution on a wide variety of hardware platforms. snBench provides: (1) a common sensory tasking language (Instruction Set Architecture) powerful enough to express complex SN services, yet simple enough to be executed by highly constrained resources with soft, real-time constraints, (2) a prototype high-level language (and corresponding compiler) to illustrate the utility of the common tasking language and the tiered programming approach in this domain, (3) an execution environment and a run-time support infrastructure that abstract a collection of heterogeneous resources into a single virtual Sensor Network, tasked via this common tasking language, and (4) novel formal methods (i.e., static analysis techniques) that verify safety properties and infer implicit resource constraints to facilitate resource allocation for new services. This thesis presents these components in detail, as well as two specific case-studies: the use of snBench to integrate physical and wireless network security, and the use of snBench as the foundation for semester-long student projects in a graduate-level Software Engineering course.

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Sanli, Ozgur. "Rule-based In-network Processing For Event-driven Applications In Wireless Sensor Networks." Phd thesis, METU, 2011. http://etd.lib.metu.edu.tr/upload/12613389/index.pdf.

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Wireless sensor networks are application-specific networks that necessitate the development of specific network and information processing architectures that can meet the requirements of the applications involved. The most important challenge related to wireless sensor networks is the limited energy and computational resources of the battery powered sensor nodes. Although the central processing of information produces the most accurate results, it is not an energy-efficient method because it requires a continuous flow of raw sensor readings over the network. As communication operations are the most expensive in terms of energy usage, the distributed processing of information is indispensable for viable deployments of applications in wireless sensor networks. This method not only helps in reducing the total amount of packets transmitted and the total energy consumed by sensor nodes, but also produces scalable and fault-tolerant networks. Another important challenge associated with wireless sensor networks is that the possibility of sensory data being imperfect and imprecise is high. The requirement of precision necessitates employing expensive mechanisms such as redundancy or use of sophisticated equipments. Therefore, approximate computing may need to be used instead of precise computing to conserve energy. This thesis presents two schemes that distribute information processing for event-driven reactive applications, which are interested in higher-level information not in the raw sensory data of individual nodes, to appropriate nodes in sensor networks. Furthermore, based on these schemes, a fuzzy rule-based system is proposed that handles imprecision, inherently present in sensory data.

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Krishna, Ashwin. "Composing and connecting devices in animal telemetry network." Kansas State University, 2016. http://hdl.handle.net/2097/32882.

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Master of Science
Department of Computing and Information Sciences
Venkatesh P. Ranganath
As the Internet of Things (IoT) continues to grow, the need for services that span multiple application domains will continue to increase to realise the numerous possibilities enabled by IoT. Today, however, heterogeneity among devices leads to interoperability issues while building a system of systems and often give rise to closed ecosystems. The issues with interoperability are driven by the inability of devices and apps from different vendors to communicate with each other. The interoperability problem forces the users to stick to one particular vendor, leading to vendor lock-in. To achieve interoperability, the users have to do the heavy lifting (at times impossible) of connecting heterogeneous devices. As we slowly move towards system-of-systems and IoT, there is a real need to support heterogeneity and interoperability. A recent effort in Santos Lab developed Medical Device Coordination Framework (MDCF), which was a step to address these issues in the space of human medical systems. Subsequently, we have been wondering if a similar solution can be employed in the area of animal science. In this effort, by borrowing observations from MDCF and knowledge from on-field experience, we have created a demonstration showcasing how a combination of precise component descriptions (via DSL) and communication patterns can be used in software development and deployment to overcome barriers due to heterogeneity, interoperability and to enable an open ecosystem of apps and devices in the space of animal telemetry.

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Haan, Benjamin J. "Decomposing Bayesian network representations of distributed sensor interpretation problems using weighted average conditional mutual information /." Available to subscribers only, 2007. http://proquest.umi.com/pqdweb?did=1421626381&sid=1&Fmt=2&clientId=1509&RQT=309&VName=PQD.

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Asgari, Shadnaz. "Far-field DOA estimation and source localization for different scenarios in a distributed sensor network." Diss., Restricted to subscribing institutions, 2008. http://proquest.umi.com/pqdweb?did=1619095021&sid=1&Fmt=2&clientId=1564&RQT=309&VName=PQD.

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Davis, Jesse, Ron Kyker, and Nina Berry. "DESCRIPTION AND ANALYSIS OF A FLEXIBLE HARDWARE ARCHITECTURE FOR EVENT-DRIVEN DISTRIBUTED SENSOR NETWORK NODES." International Foundation for Telemetering, 2003. http://hdl.handle.net/10150/605356.

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International Telemetering Conference Proceedings / October 20-23, 2003 / Riviera Hotel and Convention Center, Las Vegas, Nevada
A particular engineering aspect of distributed sensor networks that has not received adequate attention is the system level hardware architecture of the individual nodes of the network. A novel hardware architecture based on an idea of task specific modular computing is proposed to provide for both the high flexibility and low power consumption required for distributed sensing solutions. The power consumption of the architecture is mathematically analyzed against a traditional approach, and guidelines are developed for application scenarios that would benefit from using this new design.

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36

Schmidt, Aurora C. "Scalable Sensor Network Field Reconstruction with Robust Basis Pursuit." Research Showcase @ CMU, 2013. http://repository.cmu.edu/dissertations/240.

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We study a scalable approach to information fusion for large sensor networks. The algorithm, field inversion by consensus and compressed sensing (FICCS), is a distributed method for detection, localization, and estimation of a propagating field generated by an unknown number of point sources. The approach combines results in the areas of distributed average consensus and compressed sensing to form low dimensional linear projections of all sensor readings throughout the network, allowing each node to reconstruct a global estimate of the field. Compressed sensing is applied to continuous source localization by quantizing the potential locations of sources, transforming the model of sensor observations to a finite discretized linear model. We study the effects of structured modeling errors induced by spatial quantization and the robustness of ℓ1 penalty methods for field inversion. We develop a perturbations method to analyze the effects of spatial quantization error in compressed sensing and provide a model-robust version of noise-aware basis pursuit with an upperbound on the sparse reconstruction error. Numerical simulations illustrate system design considerations by measuring the performance of decentralized field reconstruction, detection performance of point phenomena, comparing trade-offs of quantization parameters, and studying various sparse estimators. The method is extended to time-varying systems using a recursive sparse estimator that incorporates priors into ℓ1 penalized least squares. This thesis presents the advantages of inter-sensor measurement mixing as a means of efficiently spreading information throughout a network, while identifying sparse estimation as an enabling technology for scalable distributed field reconstruction systems.

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Li, Jiakai. "AI-WSN: Adaptive and Intelligent Wireless Sensor Networks." University of Toledo / OhioLINK, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1341258416.

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38

Iutzeler, Franck. "Estimation et optimisation distribuée dans les réseaux asynchrones." Thesis, Paris, ENST, 2013. http://www.theses.fr/2013ENST0078/document.

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Cette thèse s’intéresse au problème d’estimation et d’optimisation distribuée dans les réseaux asynchrones, c’est à dire en n’utilisant que des communication locales et asynchrones. A partir de multiples applications allant de l’apprentissage automatique aux réseaux de capteurs sans-fils, nous concevons et analysons théoriquement de nouveaux algorithmes résolvant trois problèmes de nature très différentes : la propagation de la plus grande des valeurs initiales, l’estimation de leur moyenne et enfin l’optimisation distribuée
This thesis addresses the distributed estimation and optimization of a global value of interest over a network using only local and asynchronous (sometimes wireless) communications. Motivated by many different applications ranging from cloud computing to wireless sensor networks via machine learning, we design new algorithms and theoretically study three problems of very different nature : the propagation of the maximal initial value, the estimation of their average and finally distributed optimization

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39

Vu, Chinh Trung. "Distributed Energy-Efficient Solutions for Area Coverage Problems in Wireless Sensor Networks." Digital Archive @ GSU, 2009. http://digitalarchive.gsu.edu/cs_diss/37.

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Wireless sensor networks (WSNs) have recently attracted a great deal of attention due to their numerous attractive applications in many different fields. Sensors and WSNs possess a number of special characteristics that make them very promising in a wide range of applications, but they also put on them lots of constraints that make issues in sensor network particularly challenging. These issues may include topology control, routing, coverage, security, data management and many others. Among them, coverage problem is one of the most fundamental ones for which a WSN has to watch over the environment such as a forest (area coverage) or set of subjects such as collection of precious renaissance paintings (target of point coverage) in order for the network to be able to collect environment parameters, and maybe further monitor the environment. In this dissertation, we highly focus on the area coverage problem. With no assumption of sensors’ locations (i.e., the sensor network is randomly deployed), we only consider distributed and parallel scheduling methods with the ultimate objective of maximizing network lifetime. Additionally, the proposed solutions (including algorithms, a scheme, and a framework) have to be energy-efficient. Generally, we investigate numerous generalizations and variants of the basic coverage problem. Those problems of interest include k-coverage, composite event detection, partial coverage, and coverage for adjustable sensing range network. Various proposed algorithms. In addition, a scheme and a framework are also suggested to solve those problems. The scheme, which is designed for emergency alarming applications, specifies the guidelines for data and communication patterns that significantly reduce the energy consumption and guarantee very low notification delay. For partial coverage problem, we propose a universal framework (consisting of four strategies) which can take almost any complete-coverage algorithm as an input to generate an algorithm for partial coverage. Among the four strategies, two pairs of strategies are trade-off in terms of network lifetime and coverage uniformity. Extensive simulations are conducted to validate the efficiency of each of our proposed solutions.

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40

Vu, Chinh Trung. "An Energy-Efficient Distributed Algorithm for k-Coverage Problem in Wireless Sensor Networks." Digital Archive @ GSU, 2007. http://digitalarchive.gsu.edu/cs_theses/40.

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Wireless sensor networks (WSNs) have recently achieved a great deal of attention due to its numerous attractive applications in many different fields. Sensors and WSNs possesses a number of special characteristics that make them very promising in many applications, but also put on them lots of constraints that make issues in sensor network particularly difficult. These issues may include topology control, routing, coverage, security, and data management. In this thesis, we focus our attention on the coverage problem. Firstly, we define the Sensor Energy-efficient Scheduling for k-coverage (SESK) problem. We then solve it by proposing a novel, completely localized and distributed scheduling approach, naming Distributed Energy-efficient Scheduling for k-coverage (DESK) such that the energy consumption among all the sensors is balanced, and the network lifetime is maximized while still satisfying the k-coverage requirement. Finally, in related work section we conduct an extensive survey of the existing work in literature that focuses on with the coverage problem.

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41

Browning, James Paul. "On detection and ranking methods for a distributed radio-frequency sensor network : theory and algorithmic implementation." Thesis, University College London (University of London), 2018. http://discovery.ucl.ac.uk/10047710/.

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A theoretical foundation for pre-detection fusion of sensors is needed if the United States Air Force is to ever field a system of distributed and layered sensors that can detect and perform parameter estimation of complex, extended targets in difficult interference environments, without human intervention, in near real-time. This research is relevant to the United States Air Force within its layered sensing and cognitive radar/sensor initiatives. The asymmetric threat of the twenty-first century introduces stressing sensing conditions that may exceed the ability of traditional monostatic sensing systems to perform their required intelligence, surveillance and reconnaissance missions. In particular, there is growing interest within the United States Air Force to move beyond single sensor sensing systems, and instead begin fielding and leveraging distributed sensing systems to overcome the inherent challenges imposed by the modern threat space. This thesis seeks to analyze the impact of integrating target echoes in the angular domain, to determine if better detection and ranking performance is achieved through the use of a distributed sensor network. Bespoke algorithms are introduced for detection and ranking ISR missions leveraging a distributed network of radio-frequency sensors: the first set of bespoke algorithms area based upon a depth-based nonparametric detection algorithm, which is to shown to enhance the recovery of targets under lower signal-to-noise ratios than an equivalent monostatic radar system; the second set of bespoke algorithms are based upon random matrix theoretic and concentration of measure mathematics, and demonstrated to outperform the depth-based nonparametric approach. This latter approach shall be shown to be effective across a broad range of signal-to-noise ratios, both positive and negative.

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Feagin, Benjamin Jr. "Towards Adaptive Indoor Photosynthetic Carbon Dioxide Remediation with a Building-Integrated Distributed Wireless Sensor Network Design." Thesis, Rensselaer Polytechnic Institute, 2017. http://pqdtopen.proquest.com/#viewpdf?dispub=10188794.

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Atmospheric carbon dioxide (CO₂) concentration has risen since the industrial revolution, reaching record highs year after year, and is projected to continue rising. The global average concentration of CO₂ has risen from 280 parts per million (ppm) to over 400 ppm over the last 150 years alone. CO₂ is sourced from not only fossil fuel use, but also from an increasing population world-wide in combination with a reduction of foliage. Indoor air quality (IAQ) suffers as a result of poor circulation, and buildings have been shown to accumulate air toxics such as CO₂ at greater levels than outdoors. Standards permit increases in CO₂ indoors in relationship to outdoor baseline levels, thus permitting an ever-increasing level of CO₂ indoors. Although high concentrations of CO₂ have been associated with perceptions of poor air quality, symptoms of illness, slow work performance, and absence from work or school, such as in cases of sick building syndrome (SBS), these effects have been assumed to be due to other air toxics that accompanied high CO₂ levels in buildings.

New studies in low-to-moderate CO₂ exposure in the range of 1,000–2,500 ppm challenge this assumption, and report negative impacts to proof-reading tasks, with further research in the same study series conducted with more sensitive cognitive function tests illustrating an impact on decision-making performance (Allen et al., 2015; Satish et al., 2012). With such broad human-occupied space impacts, IAQ factors such as CO₂ cut across all socioeconomic categories, and cries out for innovative solutions.

The proposed approach in this thesis provides a framework for assessing IAQ data on the human health impacts of long-term IAQ exposures, both indoor and outdoor, with a sensor network designed to provide accessible real-time data visualizations to building occupants. Only outdoor air quality data is currently available from organizations such as the Environmental Protection Agency (EPA). With a new concept of “connected buildings,” equipped with IAQ monitoring made available by the proposed air quality sensor network, a new IAQ data stream can be merged with existing outdoor air quality monitoring station data streams such as those from the EPA.

The goal of this research is to enable IAQ data acquisition on a continuous basis towards better informed decisions for industrial development, enactment of standards, ecological policy for architectural development, and individual’s exposures, through consolidation of air quality metrics that combine real0time output from outdoor and indoor built environments that can be reviewed at-a-glance. The indoor distributed wireless sensor network (IDWSN) has been designed and produced to meet the needs of continuous real-time data monitoring while populating a database used to moderate IAQ remediation systems and real-time visualization interfaces to keep human occupants of a building informed.

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Bahceci, Israfil. "Multiple-Input Multiple-Output Wireless Systems: Coding, Distributed Detection and Antenna Selection." Diss., Available online, Georgia Institute of Technology, 2005, 2005. http://etd.gatech.edu/theses/available/etd-08262005-022321/.

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Thesis (Ph. D.)--Electrical and Computer Engineering, Georgia Institute of Technology, 2006.
Altunbasak, Yucel, Committee Chair ; Mersereau, Russell M., Committee Member ; Fekri, Faramarz, Committee Member ; Smith, Glenn, Committee Member ; Huo, Xiaoming, Committee Member. Includes bibliographical references.

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44

Cheng, Yongqiang. "Wireless mosaic eyes based robot path planning and control : autonomous robot navigation using environment intelligence with distributed vision sensors." Thesis, University of Bradford, 2010. http://hdl.handle.net/10454/4421.

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As an attempt to steer away from developing an autonomous robot with complex centralised intelligence, this thesis proposes an intelligent environment infrastructure where intelligences are distributed in the environment through collaborative vision sensors mounted in a physical architecture, forming a wireless sensor network, to enable the navigation of unintelligent robots within that physical architecture. The aim is to avoid the bottleneck of centralised robot intelligence that hinders the application and exploitation of autonomous robot. A bio-mimetic snake algorithm is proposed to coordinate the distributed vision sensors for the generation of a collision free Reference-snake (R-snake) path during the path planning process. By following the R-snake path, a novel Accompanied snake (A-snake) method that complies with the robot's nonholonomic constraints for trajectory generation and motion control is introduced to generate real time robot motion commands to navigate the robot from its current position to the target position. A rolling window optimisation mechanism subject to control input saturation constraints is carried out for time-optimal control along the A-snake. A comprehensive simulation software and a practical distributed intelligent environment with vision sensors mounted on a building ceiling are developed. All the algorithms proposed in this thesis are first verified by the simulation and then implemented in the practical intelligent environment. A model car with less on-board intelligence is successfully controlled by the distributed vision sensors and demonstrated superior mobility.

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Guillén, Alejandro. "Implementation of a Distributed Algorithm for Multi-camera Visual Feature Extraction in a Visual Sensor Network Testbed." Thesis, KTH, Kommunikationsnät, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-167415.

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Visual analysis tasks, like detection, recognition and tracking, are com- putationally intensive, and it is therefore challenging to perform such tasks in visual sensor networks, where nodes may be equipped with low power CPUs. A promising solution is to augment the sensor network with pro- cessing nodes, and to distribute the processing tasks among the process- ing nodes of the visual sensor network. The objective of this project is to enable a visual sensor network testbed to operate with multiple cam- era sensors, and to implement an algorithm that computes the allocation of the visual feature tasks to the processing nodes. In the implemented system, the processing nodes can receive and process data from differ- ent camera sensors simultaneously. The acquired images are divided into sub-images, the sizes of the sub-images are computed through solving a linear programming problem. The implemented algorithm performs local optimization in each camera sensor without data exchange with the other cameras in order to minimize the communication overhead and the data computational load of the camera sensors. The implementation work is performed on a testbed that consists of BeagleBone Black computers with IEEE 802.15.4 or IEEE 802.11 USB modules, and the existing code base is written in C++. The implementation is used to assess the performance of the distributed algorithm in terms of completion time. The results show a good performance providing lower average completion time.

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46

Ng, Jackson. "A distributed sensor network architecture for defense against the ship as a weapon in the maritime domain." Thesis, Monterey, California. Naval Postgraduate School, 2011. http://hdl.handle.net/10945/5698.

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Approved for public release; distribution is unlimited.
A successful terrorist attack using a ship as a weapon (SAW) on shore infrastructure in the Malacca and Singapore Straits would cause chaos to global trade, as these Straits carry over one-quarter of the world's commerce and half the world's oil. This calamity must be prevented. Toward this goal, this thesis aims at developing and determining the best distributed sensor network (DSN) architecture and implementing a sensor fusion algorithm for tracking a SAW intended to run into the oil and chemical terminals on Jurong Island, Singapore. The work in this thesis involves the application of (1) an integrated systems engineering methodology for designing alternative DSN architectures, (2) Kalman and information filters for SAW tracking and sensor data fusion, (3) a track-to-track fusion algorithm, and (4) a Monte Carlo simulative study to assess the effectiveness of three distributed sensor fusion network architectures-centralized, de-centralized, and hybrid. Each distributed sensor fusion network architecture includes the various sensors that Singapore deploys in and along the Singapore Straits. The simulative study results indicate that, with and without communication bandwidth constraints, a ship with the intent to attack Jurong can be identified accurately at an earlier time with both the centralized and de-centralized sensor fusion network architectures than with the hybrid sensor fusion network architecture.

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47

CHENG, YI. "Security Mechanisms for Mobile Ad Hoc and Wireless Sensor Networks." University of Cincinnati / OhioLINK, 2008. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1212076752.

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JHAVER, RISHI. "DISCOVERY OF LINEAR TRAJECTORIES IN GEOGRAPHICALLY DISTRIBUTED DATASETS." University of Cincinnati / OhioLINK, 2003. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1069437745.

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49

Wang, Yunmiao. "A Quasi-distributed Sensing Network Based on Wavelength-Scanning Time-division Multiplexed Fiber Bragg Gratings." Diss., Virginia Tech, 2012. http://hdl.handle.net/10919/39324.

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Structural health monitoring (SHM) has become a strong national interest because of the need of reliable and accurate damage detection methods for aerospace, civil and mechanical engineering infrastructure. Health monitoring of these structures usually requires the sensors to have such features as large area coverage, maintenance free or minimum maintenance, ultra-low cost per measurement point, and capability of operation in harsh environments. Fiber Bragg grating (FBG) has attracted considerable interest for this application because of its compactness, electromagnetic immunity, and excellent multiplexing capability. Several FBG multiplexing techniques have been developed to increase the multiplexing number and further reduce the unit cost. To the authorâ s best knowledge, the current demonstrated maximum multiplexing number are 800 FBG sensors in a single array using optical frequency domain reflectometry (OFDR), whose maximum fiber span is limited by the coherence length of light source. In this work, we proposed and demonstrated a wavelength-scanning time-division multiplexing (WSTDM) of 1000 ultra-weak FBGs for distributed temperature sensing. In comparison with the OFDR method, the WSTDM method distinguishes the sensors by different time delays, and its maximum operation distance, which is limited by the transmission loss of the fiber, can be as high as tens of kilometers. The strong multiplexing capability and low crosstalk of the ultra-weak FBG sensors was investigated through both theoretical analysis and experiment. An automated FBG fabrication system was developed for fast FBG fabrication. With this WSTDM method, we multiplexed 1000 ultra-weak FBGs for distributed temperature sensing. Besides the demonstrated temperature measurement, the reported method can also be applied to measure other parameters, such as strain, pressure.
Ph. D.

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50

Baldassarre, Federico. "Progetto e sviluppo di un middleware per l’interfacciamento di sensori per la domotica in ambiente Java." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2016. http://amslaurea.unibo.it/11317/.

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La diffusione di soluzioni domotiche dipende da tecnologie abilitanti che supportino la comunicazione tra i numerosi agenti delle reti. L’obiettivo della tesi è progettare e realizzare un middleware per sensori distribuiti Java-based chiamato SensorNetwork, che permetta ad un agente domotico di effettuare sensing sull’ambiente. Le funzionalità principali del sistema sono uniformità di accesso a sensori eterogenei distribuiti, alto livello di automazione (autoconfigurazione e autodiscovery dei nodi), configurazione a deployment time, modularità, semplicità di utilizzo ed estensione con nuovi sensori. Il sistema realizzato è basato su un’architettura a componente-container che permette l’utilizzo di sensori all’interno di stazioni di sensori e che supporti l’accesso remoto per mezzo di un servizio di naming definito ad-hoc.

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Dissertations / Theses on the topic 'Distributed Sensor Network'

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