Relevant bibliographies by topics / Wireless sensor networking

Academic literature on the topic 'Wireless sensor networking'

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Published: 10 December 2022
Last updated: 19 February 2023

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Journal articles on the topic "Wireless sensor networking"

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Jun Zheng, P. Lorenz, and P. Dini. "Wireless sensor networking [Guest editorial]." IEEE Network 20, no. 3 (May 2006): 4–5. http://dx.doi.org/10.1109/mnet.2006.1637925.

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Shen, Xuemin, Qian Zhang, and Robert Qiu. "Wireless sensor networking [Guest Editorial]." IEEE Wireless Communications 14, no. 6 (December 2007): 4–5. http://dx.doi.org/10.1109/mwc.2007.4407220.

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Dohler, Mischa, Kris Pister, Wendi Heinzelman, Mani Srivastava, Ivan Stojmenovic, Kay Romer, and Martha Steenstrup. "Simple wireless sensor networking solutions." IEEE Journal on Selected Areas in Communications 28, no. 7 (September 2010): 969–72. http://dx.doi.org/10.1109/jsac.2010.100901.

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Liu, Yan Ju, and Xin Hua Li. "Study on Application of Wireless Sensor Networking in Environmental Monitoring." Applied Mechanics and Materials 157-158 (February 2012): 1297–300. http://dx.doi.org/10.4028/www.scientific.net/amm.157-158.1297.

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A novel wireless sensor networks is designed with integrating sensors, embedded operating systems and wireless networking technology. The temperature, humidity, light strength and pressure around the sensor could be measured accurately. The collected data by sensor networks are analysed and treated in PC computer via USB interface. LEACH communication protocol was introduced to ZigBee networks in this paper. The node programs were exploited based on IAR System platform to accomplish data collection.
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Thangamuthu, A. P. "Security in Wireless Sensor Networks: Issues and Challenges." Shanlax International Journal of Arts, Science and Humanities 8, no. 4 (April 1, 2021): 120–28. http://dx.doi.org/10.34293/sijash.v8i4.3671.

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Wireless sensor networks (WSNs) have made it easier for people to live in various fields: medical engineering, agriculture. With computing power and wireless networking, sensing technology makes it lucrative for its potential abundance of use. Since the many uses of such systems have been used, lightweight, inexpensive, disposable and self-contained computers, known as sensor nodes or “motes,” are created. WSNs are commonly used in applications for monitoring, tracking and control. These include centralized management, system heterogeneity, protocol routing, the versatility of node, the privacy of information and restricted computing capacity. WSN covers a wide geographical area; routing protocols, scalability and security should therefore be addressed. In the traditional networking technique, there are major benefits due to the low cost and cooperative design of wireless networks (WNs). The networks with wireless sensors have more advantages over wired networks. Although wireless networks have various advantages, they are vulnerable to security problems. Due to the broader application, safety has become an important issue for wireless sensor networks.
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Intanagonwiwat, C., R. Govindan, D. Estrin, J. Heidemann, and F. Silva. "Directed diffusion for wireless sensor networking." IEEE/ACM Transactions on Networking 11, no. 1 (February 2003): 2–16. http://dx.doi.org/10.1109/tnet.2002.808417.

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Ganesan, Deepak, Alberto Cerpa, Wei Ye, Yan Yu, Jerry Zhao, and Deborah Estrin. "Networking issues in wireless sensor networks." Journal of Parallel and Distributed Computing 64, no. 7 (July 2004): 799–814. http://dx.doi.org/10.1016/j.jpdc.2004.03.016.

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Duan, Qun, and A. Ni Zhao. "Analysis and Prospect of Wireless Sensor Network Routing Technology." Advanced Materials Research 411 (November 2011): 592–96. http://dx.doi.org/10.4028/www.scientific.net/amr.411.592.

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A wireless sensor network integrates sensor technology, embedded computing technology, modern networking and wireless communication technology, distributed information processing technology to form a wireless network. This paper analyzes the architecture of the wireless sensor network and its routing features, analyzes current wireless sensor network routing protocols, and summarizes wireless sensor routing technology development prospects.
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Yang, Guang You, Si Jian Zhu, Rui Quan, and Zhi Yan Ma. "Research on Wireless Sensor Networks Based on Open Source System." Key Engineering Materials 621 (August 2014): 712–18. http://dx.doi.org/10.4028/www.scientific.net/kem.621.712.

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As the key technologies such as wireless communication, sensor continues to mature, wireless sensor networks has become a domestic and foreign focus of research in the field of wireless networks. The main work of the thesis is to implement ZigBee wireless sensor networking, using open source protocol FreakZ On the base of existing hardware. WSN hardware node consists of 32-bit microprocessor STM32F102CB based on ARM Cortex-M3 kernel and AT86RF212 radio transceiver; the software platform uses a lightweight multi-tasking operating system Contiki and open source protocol stack called FreakZ following ZigBee protocol specification, for networking wireless networks nodes. The paper presents the system architecture of WSN networking and its hardware components, software architecture and data transmission and reception processes of the networks. Using FreakZ protocol stack under the Contiki operating system on the base of the existing hardware platform, the network nodes information and topology displayed on the HyperTerminal indicates the success of WSN networking by using FreakZ protocol.
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Luo, Hanjiang, Xu Wang, Ziyang Xu, Chao Liu, and Jeng-Shyang Pan. "A software-defined multi-modal wireless sensor network for ocean monitoring." International Journal of Distributed Sensor Networks 18, no. 1 (January 2022): 155014772110683. http://dx.doi.org/10.1177/15501477211068389.

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The software-defined networking paradigm enables wireless sensor networks as a programmable and reconfigurable network to improve network management and efficiency. However, several challenges arise when implementing the concept of software-defined networking in maritime wireless sensor networks, as the networks operate in harsh ocean environments, and the dominant underwater acoustic systems are with limited bandwidth and high latency, which render the implementation of software-defined networking central-control difficult. To cope with the problems and meet demand for high-speed data transmission, we propose a radio frequency–acoustic software-defined networking-based multi-modal wireless sensor network which leverages benefits of both radio frequency and acoustic communication systems for ocean monitoring. We first present the software-defined networking-based multi-modal network architecture, and then explore two examples of applications with this architecture: network deployment and coverage for intrusion detection with both grid-based and random deployment scenarios, and a novel underwater testbed design by incorporating radio frequency–acoustic multi-modal techniques to facilitate marine sensor network experiments. Finally, we evaluate the performance of deployment and coverage of software-defined networking-based multi-modal wireless sensor network through simulations with several scenarios to verify the effectiveness of the network.
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Dissertations / Theses on the topic "Wireless sensor networking"

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Spinden, David, Jeffrey Jasper, and Kurt Kosbar. "Comparison of Wireless Ad-Hoc Sensor Networks." International Foundation for Telemetering, 2004. http://hdl.handle.net/10150/605786.

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International Telemetering Conference Proceedings / October 18-21, 2004 / Town & Country Resort, San Diego, California
There are a number of telemetry applications where it would be helpful to have networks of sensors that could autonomously discover their connectivity, and dynamically reconfigure themselves during use. A number of research groups have developed wireless ad-hoc sensor network systems. This paper reviews the state-of-the-art in wireless ad-hoc networks, examining the features, assumptions, limitations and unique attributes of some of the more popular solutions to this problem.
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Kuppaswamy, Karthik. "Maximizing the System Lifetime in Wireless Sensor Networks using Improved Routing Algorithm." OpenSIUC, 2011. https://opensiuc.lib.siu.edu/theses/677.

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In wireless sensor networks, the maximum lifetime routing problem has received increasing attention among researchers. There are several critical features that need to be considered while designing a wireless sensor networks such as cost, network lifetime and Quality of service. Due to the limitation on the energy of sensor nodes, energy efficient routing is a very important issue in sensor networks. Therefore, to prolong the lifetime of the sensor nodes, designing efficient routing protocols is critical. One solution is to formulate the routing problem as a linear programming problem by maximizing the time at which the first node runs out of battery. In this paper, with the notion of maximizing the system lifetime, we implemented a new heuristic and evaluated the performance of it with the existing algorithm called flow augmentation algorithm. Further, our experimental results demonstrate that the proposed algorithm significantly outperform FA algorithm, in terms of system lifetime.
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Zhang, Fenghui. "Effective algorithms and protocols for wireless networking: a topological approach." Diss., Texas A&M University, 2008. http://hdl.handle.net/1969.1/86012.

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Much research has been done on wireless sensor networks. However, most protocols and algorithms for such networks are based on the ideal model Unit Disk Graph (UDG) model or do not assume any model. Furthermore, many results assume the knowledge of location information of the network. In practice, sensor networks often deviate from the UDG model significantly. It is not uncommon to observe stable long links that are more than five times longer than unstable short links in real wireless networks. A more general network model, the quasi unit-disk graph (quasi-UDG) model, captures much better the characteristics of wireless networks. However, the understanding of the properties of general quasi-UDGs has been very limited, which is impeding the design of key network protocols and algorithms. In this dissertation we study the properties for general wireless sensor networks and develop new topological/geometrical techniques for wireless sensor networking. We assume neither the ideal UDG model nor the location information of the nodes. Instead we work on the more general quasi-UDG model and focus on figuring out the relationship between the geometrical properties and the topological properties of wireless sensor networks. Based on such relationships we develop algorithms that can compute useful substructures (planar subnetworks, boundaries, etc.). We also present direct applications of the properties and substructures we constructed including routing, data storage, topology discovery, etc. We prove that wireless networks based on quasi-UDG model exhibit nice properties like separabilities, existences of constant stretch backbones, etc. We develop efficient algorithms that can obtain relatively dense planar subnetworks for wireless sensor networks. We also present efficient routing protocols and balanced data storage scheme that supports ranged queries. We present algorithmic results that can also be applied to other fields (e.g., information management). Based on divide and conquer and improved color coding technique, we develop algorithms for path, matching and packing problem that significantly improve previous best algorithms. We prove that it is unlikely for certain problems in operation science and information management to have any relatively effective algorithm or approximation algorithm for them.
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Xie, Liguang. "Modeling and Optimization of Rechargeable Sensor Networks." Diss., Virginia Tech, 2013. http://hdl.handle.net/10919/52243.

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Over the past fifteen years, advances in Micro-Electro-Mechanical Systems (MEMS) technology have enabled rapid development of wireless sensor networks (WSNs). A WSN consists of a large number of sensor nodes that are typically powered by batteries. Each sensor node collects useful information from its environment, and forwards this data to a base station through wireless communications. Applications of WSNs include environmental monitoring, industrial monitoring, agriculture, smart home monitoring, military surveillance, to name a few. Due to battery constraint at each sensor node, a fundamental challenge for a WSN is its limited operational lifetime -- the amount of time that the network can remain operational before some or all of the sensor nodes run out of battery. To conserve energy and prolong the lifetime of a WSN, there have been active research efforts across all network layers. Although these efforts help conserve energy usage and prolong network lifetime to some extent, energy and lifetime remain fundamental bottlenecks and are the key factors that hinder the wide-scale deployment of WSNs. This dissertation addresses the energy problem of a WSN by exploiting a recent breakthrough in wireless energy transfer (WET) technology. This breakthrough WET technology is based on the so-called magnetic resonant coupling (MRC), which allows electric energy to be transferred from a source coil to a receive coil without any plugs or wires. The advantages of MRC are high energy transfer efficiency even under omni-direction, not requiring line-of-sight (LOS), and being robust against environmental conditions. Inspired by this enabling WET technology, this dissertation focuses on applying MRC to a WSN and on studying how to optimally use this technology to address lifetime problem for a WSN. The goal is to fundamentally remove lifetime bottleneck for a WSN. The main contributions of this dissertation are summarized as follows: 1. Single-node Charging for a Sparse WSN. We first investigate how MRC can be applied to a WSN so as to remove the lifetime performance bottleneck in a WSN, i.e., allowing a WSN to remain operational forever. We consider the scenario of a mobile wireless charging vehicle (WCV) periodically traveling inside the sensor network and charging each sensor node's battery wirelessly. We introduce the concept of renewable energy cycle and offer both necessary and sufficient conditions for a sensor node to maintain its renewable energy cycle. We study an optimization problem, with the objective of maximizing the ratio of the WCV's vacation time over the cycle time. For this problem, we prove that the optimal traveling path for the WCV is the shortest Hamiltonian cycle and uncover a number of important properties. Subsequently, we develop a near-optimal solution by a piecewise linear approximation technique and prove its performance guarantee. This first study shows that network lifetime bottleneck can be fundamentally resolved by WET. 2. Multi-node Charging for a Dense WSN. We next exploit recent advances in MRC that allows multiple sensor nodes to be charged at the same time, and show how MRC with multi-node charging capability can address the scalability problem associated with the single-node charging technology. We consider a WCV that periodically travels inside a WSN and can charge multiple sensor nodes simultaneously. Based on the charging range of the WCV, we propose a cellular structure that partitions the two-dimensional plane into adjacent hexagonal cells. We pursue a formal optimization framework by jointly optimizing the traveling path of the WCV, flow routing among the sensor nodes, and the charging time with each hexagonal cell. By employing discretization and a novel Reformulation-Linearization Technique (RLT), we develop a provably near-optimal solution for any desired level of accuracy. Through numerical results, we demonstrate that our solution can indeed address the scalability problem for WET in a dense WSN. 3. Bundling Mobile Base Station and Wireless Energy Transfer: The Pre-planned Path Case. Our aforementioned work is based on the assumption that the location of base station is fixed and known in the WSN. On the other hand, it has been recognized that a mobile base station (MBS) can offer significant advantages over a fixed one. But employing two separate vehicles, one for WET and one for MBS, could be expensive and hard to manage. So a natural question to ask is: can we bundle WET and MBS on the same vehicle? This is the focus of this study. Here, our goal is to minimize energy consumption of the entire system while ensuring that none of the sensor nodes runs out of energy. To simplify the problem, we assume that the path for the vehicle is given a priori. We develop a mathematical model for this problem. Instead of studying the general problem formulation (called CoP-t), which is time-dependent, we show that it is sufficient to study a special subproblem (called CoP-s), which only involves space-dependent variables. Subsequently, we develop a provable near-optimal solution to CoP-s with the development of several novel techniques including discretizing a continuous path into a finite number of segments and representing each segment with worst-case energy bounds. 4. Bundling Mobile Base Station and Wireless Energy Transfer: The Unconstrained Path Case. Based on our experience for the pre-planned path case, we further study the problem where the traveling path of the WCV (also carrying the MBS) can be unconstrained. That is, we study an optimization problem that jointly optimizes the traveling path, stopping points, charging schedule, and flow routing. For this problem, we propose a two-step solution. First, we study an idealized problem that assumes zero traveling time, and develop a provably near-optimal solution to this idealized problem. In the second step, we show how to develop a practical solution with non-zero traveling time and quantify the performance gap between this solution and the unknown optimal solution to the original problem. This dissertation offers the first systematic investigation on how WET (in particular, the MRC technology) can be exploited to address lifetime bottleneck of a WSN. It lays the foundation of exploring WET for WSNs and other energy-constrained wireless networks. On the mathematical side, we have developed or applied a number of powerful techniques such as piecewise linear approximation, RLT, time-space transformation, discretization, and logical point representation that may be applicable to address a broad class of optimization problems in wireless networks. We expect that this dissertation will open up new research directions on many interesting networking problems that can take advantage of the WET technology.
Ph. D.
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Yagli, Mehmet. "The Feasibility, Reliable Communication And Networking Aspects Of Passive Wireless Sensor Networks." Master's thesis, METU, 2006. http://etd.lib.metu.edu.tr/upload/12607729/index.pdf.

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The primary challenge in wireless sensor network (WSN) deployment is the limited network lifetime due to the finite-capacity batteries. In accordance with this challenge, the vast majority of research efforts thus far have focused on the development of energy-efficient communication and computing mechanisms for WSNs. In this thesis, a fundamentally different approach and hence completely new WSN paradigm, i.e., the Passive Wireless Sensor Network (PWSN), is introduced. The objective of PWSN is to eliminate the limitation on the system lifetime of the WSNs. In PWSN, power is externally supplied to the sensor network node via an external RF source. Hence, the lifetime of the system is no longer determined by the lifetime of the batteries. An alternative communication scheme, modulated backscattering, is also discussed to be utilized in PWSN. The feasibility of the proposed system is investigated along with the open research challenges for reliable communication and networking in PWSN. Additionally, a new medium access schemee for PWSN, Ultra-Wideband PWSN Medium Access Control (UWB PWSN MAC), is presented.
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Ghataoura, D. S. "Networking and application interface technology for wireless sensor network surveillance and monitoring." Thesis, University College London (University of London), 2012. http://discovery.ucl.ac.uk/1348374/.

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Distributed unattended ground sensor (UGS) networks are commonly deployed to support wide area battlefield surveillance and monitoring missions. The information they generate has proven to be valuable in providing a necessary tactical information advantage for command and control, intelligence and reconnaissance field planning. Until recently, however, there has been greater emphasis within the defence research community for UGS networks to fulfil their mission objectives successfully, with minimal user interaction. For a distributed UGS scenario, this implies a network centric capability, where deployed UGS networks can self-manage their behaviour in response to dynamic environmental changes. In this thesis, we consider both the application interface and networking technologies required to achieve a network centric capability, within a distributed UGS surveillance setting. Three main areas of work are addressed towards achieving this. The first area of work focuses on a capability to support autonomous UGS network management for distributed surveillance operations. The network management aspect is framed in terms of how distributed sensors can collaborate to achieve their common mission objectives and at the same time, conserve their limited network resources. A situation awareness methodology is used, in order to enable sensors which have similar understanding towards a common objective to be utilised, for collaboration and to allow sensor resources to be managed as a direct relationship according to, the dynamics of a monitored threat. The second area of work focuses on the use of geographic routing to support distributed surveillance operations. Here we envisage the joint operation of unmanned air vehicles and UGS networks, working together to verify airborne threat observations. Aerial observations made in this way are typically restricted to a specific identified geographic area. Information queries sent to inquire about these observations can also be routed and restricted to using this geographic information. In this section, we present our bio-inspired geographic routing strategy, with an integrated topology control function to facilitate this. The third area of work focuses on channel aware packet forwarding. Distributed UGS networks typically operate in wireless environments, which can be unreliable for packet forwarding purposes. In this section, we develop a capability for UGS nodes to decide which packet forwarding links are reliable, in order to reduce packet transmission failures and improve overall distributed networking performance.
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Modieginyane, Kgotlaetsile Mathews. "Flexible network management in software defined wireless sensor networks for monitoring application systems." Thesis, University of Pretoria, 2018. http://hdl.handle.net/2263/66016.

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Wireless Sensor Networks (WSNs) are the commonly applied information technologies of modern networking and computing platforms for application-specific systems. Today’s network computing applications are faced with high demand of reliable and powerful network functionalities. Hence, efficient network performance is central to the entire ecosystem, more especially where human life is a concern. However, effective management of WSNs remains a challenge due to problems supplemental to them. As a result, WSNs application systems such as in monitored environments, surveillance, aeronautics, medicine, processing and control, tend to suffer in terms of capacity to support compute intensive services due to limitations experienced on them. A recent technology shift proposes Software Defined Networking (SDN) for improving computing networks as well as enhancing network resource management, especially for life guarding systems. As an optimization strategy, a software-oriented approach for WSNs, known as Software Defined Wireless Sensor Network (SDWSN) is implemented to evolve, enhance and provide computing capacity to these resource constrained technologies. Software developmental strategies are applied with the focus to ensure efficient network management, introduce network flexibility and advance network innovation towards the maximum operation potential for WSNs application systems. The need to develop WSNs application systems which are powerful and scalable has grown tremendously due to their simplicity in implementation and application. Their nature of design serves as a potential direction for the much anticipated and resource abundant IoT networks. Information systems such as data analytics, shared computing resources, control systems, big data support, visualizations, system audits, artificial intelligence (AI), etc. are a necessity to everyday life of consumers. Such systems can greatly benefit from the SDN programmability strategy, in terms of improving how data is mined, analysed and committed to other parts of the system for greater functionality. This work proposes and implements SDN strategies for enhancing WSNs application systems especially for life critical systems. It also highlights implementation considerations for designing powerful WSNs application systems by focusing on system critical aspects that should not be disregarded when planning to improve core network functionalities. Due to their inherent challenges, WSN application systems lack robustness, reliability and scalability to support high computing demands. Anticipated systems must have greater capabilities to ubiquitously support many applications with flexible resources that can be easily accessed. To achieve this, such systems must incorporate powerful strategies for efficient data aggregation, query computations, communication and information presentation. The notion of applying machine learning methods to WSN systems is fairly new, though carries the potential to enhance WSN application technologies. This technological direction seeks to bring intelligent functionalities to WSN systems given the characteristics of wireless sensor nodes in terms of cooperative data transmission. With these technological aspects, a technical study is therefore conducted with a focus on WSN application systems as to how SDN strategies coupled with machine learning methods, can contribute with viable solutions on monitoring application systems to support and provide various applications and services with greater performance. To realize this, this work further proposes and implements machine learning (ML) methods coupled with SDN strategies to; enhance sensor data aggregation, introduce network flexibility, improve resource management, query processing and sensor information presentation. Hence, this work directly contributes to SDWSN strategies for monitoring application systems.
Thesis (PhD)--University of Pretoria, 2018.
National Research Foundation (NRF)
Telkom Centre of Excellence
Electrical, Electronic and Computer Engineering
PhD
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Lydon, Sean Michael. "General Direction Routing Protocol." DigitalCommons@CalPoly, 2009. https://digitalcommons.calpoly.edu/theses/97.

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The General Direction Routing Protocol (GDRP) is a Wireless Sensor Network (WSN) multi-path routing protocol which abstracts localization information (commonly GPS coordinates) into relative direction information in order to perform routing decisions. By generating relative direction information GDRP is able to operate with fewer precision requirements than other protocols. This abstraction also allows the integration of other emerging hardware-based localization techniques, for example, Beamforming Sensor Arrays. GDRP does not specifically address the next hop a packet should take, but instead specifies a direction it should travel. This direction abstraction allows for multiple paths to be taken through the network thus enhancing network robustness to node mobility and failures. This indirect addressing scheme also provides a solution to sensor node unique identification. GDRP is simulated in a custom simulator written in Java. This simulator supports interfaces for multiple protocols for layers 1, 2, 3, and 7 of the OSI model. For performance comparisons, GDRP is compared against multiple WSN routing protocols. GDRP operates with a significantly lower setup cost in terms of bytes transmitted and a lower setup latency for networks of varying sizes. It also demonstrates an exponentially lower routing cost when compared to another multi- path routing protocol due to a more efficient packet propagation in the network.
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Kuntz, Romain. "Medium Access Control Facing the Dynamics of Wireless Sensor Networks." Phd thesis, Université de Strasbourg, 2010. http://tel.archives-ouvertes.fr/tel-00521389.

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Un réseau de capteurs sans fil (Wireless Sensor Network, WSN) consiste en une distribution spatiale d'équipements embarqués autonomes, qui coopèrent de manière à surveiller l'environnement de manière non-intrusive. Les données collectées par chaque capteur (tels que la température, des vibrations, des sons, des mouvements etc.) sont remontées de proche en proche vers un puits de collecte en utilisant des technologies de communication sans fil. Voilà une décennie que les contraintes inhérentes à ces réseaux attirent l'attention de la communauté scientifique. Ainsi, de nombreuses améliorations à différents niveaux de la pile de communication ont été proposées afin de relever les défis en termes d'économie d'énergie, de capacité de calcul et de contrainte mémoire imposés par l'utilisation d'équipements embarqués. Plusieurs déploiements couronnés de succès démontrent l'intérêt grandissant pour cette technologie. Les récentes avancées en termes d'intégration d'équipements et de protocoles de communication ont permis d'élaborer de nouveaux scénarios plus complexes. Ils mettent en scène des réseaux denses et dynamiques par l'utilisation de capteurs mobiles ou de différentes méthodes de collection de données. Par exemple, l'intérêt de la mobilité dans les WSN est multiple dans la mesure où les capteurs mobiles peuvent notamment permettre d'étendre la couverture d'un réseau, d'améliorer ses performances de routage ou sa connexité globale. Toutefois, ces scénarios apportent de nouveaux défis dans la conception de protocoles de communication. Ces travaux de thèse s'intéressent donc à la problématique de la dynamique des WSN, et plus particulièrement à ce que cela implique au niveau du contrôle de l'accès au médium (Medium Access Control, MAC). Nous avons tout d'abord étudié l'impact de la mobilité et défini deux nouvelles méthodes d'accès au médium (Machiavel et X-Machiavel) qui permettent d'améliorer les conditions d'accès au canal pour les capteurs mobiles dans les réseaux denses. Notre deuxième contribution est un algorithme d'auto-adaptation destiné aux protocoles par échantillonnage. Il vise à minimiser la consommation énergétique globale dans les réseaux caractérisés par des modèles de trafic antagonistes, en obtenant une configuration optimale sur chaque capteur. Ce mécanisme est particulièrement efficace en énergie pendant les transmissions par rafales qui peuvent survenir dans de tels réseaux dynamiques.
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Sun, Zhi. "Reliable and efficient communication in wireless underground sensor networks." Diss., Georgia Institute of Technology, 2011. http://hdl.handle.net/1853/41150.

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Wireless Underground Sensor Networks (WUSNs) are the networks of wireless sensors that operate below the ground surface. These sensors are either buried completely in soil medium, or placed within a bounded open underground space, such as underground mines and tunnels. WUSNs enable a wide variety of novel applications, including intelligent irrigation, underground structure monitoring, and border patrol and intruder detection. This thesis is concerned with establishing reliable and efficient communications in the network of wireless sensor nodes that are deployed in either soil medium or underground mines and tunnels. In particular, to realize WUSNs in soil medium, two types of signal propagation techniques including Electromagnetic (EM) waves and Magnetic Induction (MI) are explored. For EM wave-based WUSNs, the heterogeneous network architecture and dynamic connectivity are investigated based on a comprehensive channel model in soil medium. Then a spatio-temporal correlation-based data collection schemes is developed to reduce the sensor density while keeping high monitoring accuracy. For MI-based WUSNs, the MI channel is first analytically characterized. Then based on the MI channel model, the MI waveguide technique is developed in order to enlarge the underground transmission range. Finally, the optimal deployment algorithms for MI waveguides in WUSNs are analyzed to construct the WUSNs with high reliability and low costs. To realize WUSNs in underground mines and tunnels, a mode-based analytical channel model is first proposed to accurately characterize the signal propagation in both empty and obstructed mines and tunnels. Then the Multiple-Input and Multiple-Output (MIMO) system and cooperative communication system are optimized to establish reliable and efficient communications in underground mines and tunnels.
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Books on the topic "Wireless sensor networking"

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Networking wireless sensors. Cambridge, UK: Cambridge University Press, 2005.

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D, Manjunath, and Kuri Joy, eds. Wireless networking. Amsterdam: Morgan Kaufmann, 2008.

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Wireless sensor networks: A networking perspective. Piscataway, NJ: IEEE, 2009.

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Bandyopadhyay, L. K. Wireless communication in underground mines: RFID-based sensor networking. New York: Springer, 2010.

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Game theory for wireless communications and networking. Boca Raton: CRC Press, 2011.

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Madisetti, V. Wireless, networking, radar, sensor array processing, and nonlinear signal processing. 2nd ed. Boca Raton, FL: CRC Press, 2010.

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Madisetti, V. Wireless, networking, radar, sensor array processing, and nonlinear signal processing. Boca Raton, FL: CRC Press, 2009.

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Matin, Mohammad A. Handbook of research on progressive trends in wireless communications and networking. Hershey, PA: Information Science Reference, an imprint of IGI Global, 2014.

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Das, Amitabha, Hung Keng Pung, Francis Bu Sung Lee, and Lawrence Wai Choong Wong, eds. NETWORKING 2008 Ad Hoc and Sensor Networks, Wireless Networks, Next Generation Internet. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-79549-0.

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Akyildiz, Ian F., Raghupathy Sivakumar, Eylem Ekici, Jaudelice Cavalcante de Oliveira, and Janise McNair, eds. NETWORKING 2007. Ad Hoc and Sensor Networks, Wireless Networks, Next Generation Internet. Berlin, Heidelberg: Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-72606-7.

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Book chapters on the topic "Wireless sensor networking"

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Martincic, Fernando, and Loren Schwiebert. "Introduction to Wireless Sensor Networking." In Handbook of Sensor Networks, 1–40. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2005. http://dx.doi.org/10.1002/047174414x.ch1.

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Huseth, Steve, and Soumitri Kolavennu. "Localization in Wireless Sensor Networks." In Wireless Networking Based Control, 153–74. New York, NY: Springer New York, 2010. http://dx.doi.org/10.1007/978-1-4419-7393-1_7.

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Yu, Mengjie, Hala Mokhtar, and Madjid Merabti. "Autonomic Networking in Wireless Sensor Networks." In Autonomic Computing and Networking, 261–84. Boston, MA: Springer US, 2009. http://dx.doi.org/10.1007/978-0-387-89828-5_11.

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Arivudainambi, D., G. Sreekanth, and S. Balaji. "Energy Efficient Sensor Scheduling for Target Coverage in Wireless Sensor Network." In Wireless Communications, Networking and Applications, 693–705. New Delhi: Springer India, 2015. http://dx.doi.org/10.1007/978-81-322-2580-5_62.

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Barbancho, J., D. Cascado, J. L. Sevillano, C. León, A. Linares, and F. J. Molina. "Cooperation in Wireless Ad Hoc and Sensor Networks." In Cooperative Networking, 35–55. Chichester, UK: John Wiley & Sons, Ltd, 2011. http://dx.doi.org/10.1002/9781119973584.ch4.

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Shen, S., G. M. P. O’Hare, D. Marsh, D. Diamond, and D. O’Kane. "AToM: Atomic Topology Management of Wireless Sensor Networks." In Autonomic Networking, 243–54. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11880905_20.

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Semchedine, Fouzi, and Naima Bouandas. "Improving Cross-Layer Routing in Wireless Sensor Networks." In Ubiquitous Networking, 247–56. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-02849-7_22.

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Basagni, Stefano, M. Yousof Naderi, Chiara Petrioli, and Dora Spenza. "Wireless Sensor Networks with Energy Harvesting." In Mobile Ad Hoc Networking, 701–36. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118511305.ch20.

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Stent, Stuart. "A Security Framework for Wireless Sensor Networks." In Communication and Networking, 444–54. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-10844-0_52.

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Kim, Jaewoo, HahnEarl Jeon, and Jaiyong Lee. "Network Management Framework for Wireless Sensor Networks." In Communication and Networking, 76–84. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-17587-9_9.

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Conference papers on the topic "Wireless sensor networking"

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Bilodeau, James, Kevin Clark, David Gregg, and Heath Pier. "Wireless Networking of Rail Sensors on Continuously Welded Rail." In 2010 Joint Rail Conference. ASMEDC, 2010. http://dx.doi.org/10.1115/jrc2010-36272.

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Railroads around the world are trying to increase hauling capacity on an already over-burdened rail system. This results in increased rail maintenance, increased cost from slow orders and increased risk of track failures. However, monitoring rails for neutral temperature drift, rail buckling and rail breaks is becoming easier and more cost effective with improved sensor technology. One major improvement is the ability to monitor long stretches of rail by networking a series of sensors together. This results in complete track coverage for a reasonable cost. New sensor technology capable of transmitting data wirelessly over several miles of track is presented in this paper. The antenna configuration is a critical factor to achieve adequate signal strength within several inches of the ground. The research presented here shows that it is possible to use the rails themselves as waveguides to help guide wireless signals down the rails to the next sensor.
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Duquennoy, Simon, Olaf Landsiedel, Carlo Alberto Boano, Marco Zimmerling, Jan Beutel, Mun Choon Chan, Omprakash Gnawali, et al. "A Benchmark for Low-power Wireless Networking." In SenSys '16: The 14th ACM Conference on Embedded Network Sensor Systems. New York, NY, USA: ACM, 2016. http://dx.doi.org/10.1145/2994551.2996692.

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Furrer, S., W. Schott, H. L. Truong, and B. Weiss. "The IBM wireless sensor networking testbed." In 2006 2nd International Conference on Testbeds and Research Infrastructures for the Development of Networks and Communities. IEEE, 2006. http://dx.doi.org/10.1109/tridnt.2006.1649126.

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Peng Du and George Roussos. "Adaptive channel hopping for wireless sensor networks." In Wireless Networking (iCOST). IEEE, 2011. http://dx.doi.org/10.1109/icost.2011.6085828.

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Lei, Ming, Yang Xiao, and Susan V. Vrbsky. "Active Protection in Wireless Networking." In 2008 4th International Conference on Mobile Ad-hoc and Sensor Networks (MSN 2008). IEEE, 2008. http://dx.doi.org/10.1109/msn.2008.33.

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Habib, Sami J., and Paulvanna Nayaki Marimuthu. "Scheduling Sensors' Tasks with Imprecise Timings within Wireless Sensor Networks." In Networking Conference (WCNC). IEEE, 2010. http://dx.doi.org/10.1109/wcnc.2010.5506289.

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Priya, Shashank, Dan Popa, and Frank Lewis. "Energy Efficient Mobile Wireless Sensor Networks." In ASME 2006 International Mechanical Engineering Congress and Exposition. ASMEDC, 2006. http://dx.doi.org/10.1115/imece2006-14078.

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Wireless sensor networks (WSN) have tremendous potential in many environmental and structural health monitoring applications including, gas, temperature, pressure and humidity monitoring, motion detection, and hazardous materials detection. Recent advances in CMOS-technology, IC manufacturing, and networking utilizing Bluetooth communications have brought down the total power requirements of wireless sensor nodes to as low as a few hundred microwatts. Such nodes can be used in future dense ad-hoc networks by transmitting data 1 to 10 meters away. For communication outside 10 meter ranges, data must be transmitted in a multi-hop fashion. There are significant implications to replacing large transmission distance WSN with multiple low-power, low-cost WSN. In addition, some of the relay nodes could be mounted on mobile robotic vehicles instead of being stationary, thus increasing the fault tolerance, coverage and bandwidth capacity of the network. The foremost challenge in the implementation of a dense sensor network is managing power consumption for a large number of nodes. The traditional use of batteries to power sensor nodes is simply not scalable to dense networks, and is currently the most significant barrier for many applications. Self-powering of sensor nodes can be achieved by developing a smart architecture which utilizes all the environmental resources available for generating electrical power. These resources can be structural vibrations, wind, magnetic fields, light, sound, temperature gradients and water currents. The generated electric energy is stored in the matching media selected by the microprocessor depending upon the power magnitude and output impedance. The stored electrical energy is supplied on demand to the sensors and communications devices. This paper shows the progress in our laboratory on powering stationary and mobile untethered sensors using a fusion of energy harvesting approaches. It illustrates the prototype hardware and software required for their implementation including MEMS pressure and strain sensors mounted on mobile robots or stationary, power harvesting modules, interface circuits, algorithms for interrogating the sensor, wireless data transfer and recording.
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Zats, Samuel, Richard Su, Thomas Watteyne, and Kristofer S. J. Pister. "Scalability of Time Synchronized wireless sensor networking." In IECON 2011 - 37th Annual Conference of IEEE Industrial Electronics. IEEE, 2011. http://dx.doi.org/10.1109/iecon.2011.6119789.

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Baghyalakshmi, D., G. Sandhya Rani, Deepika Vinod, Jemimah Ebenezer, K. Madhusoodanan, and S. A. V. Satya Murty. "Design enhancements of wireless sensor networking nodes." In 2016 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET). IEEE, 2016. http://dx.doi.org/10.1109/wispnet.2016.7566160.

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Zahariadis, Th, and S. Voliotis. "Open issues in Wireless Visual Sensor Networking." In 2007 14th International Workshop on Systems, Signals and Image Processing and 6th EURASIP Conference focused on Speech and Image Processing, Multimedia Communications and Services. IEEE, 2007. http://dx.doi.org/10.1109/iwssip.2007.4381110.

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