Gotowe bibliografie tematyczne / Body Sensor Network

Gotowa bibliografia na temat „Body Sensor Network”

Autor: Grafiati
Data publikacji: 4 czerwca 2021
Data aktualizacji: 19 lutego 2023

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Artykuły w czasopismach na temat "Body Sensor Network"

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Itani, Wassim, Ayman Kayssi i Ali Chehab. "Wireless Body Sensor Networks". International Journal of Reliable and Quality E-Healthcare 5, nr 2 (kwiecień 2016): 1–30. http://dx.doi.org/10.4018/ijrqeh.2016040101.

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In this paper, the authors provide a detailed overview and technical discussion and analysis of the latest research trends in securing body sensor networks. The core of this work aims at: (1) identifying the resource limitations and energy challenges of this category of wireless sensor networks, (2) considering the life-critical applications and emergency contexts that are encompassed by body sensor network services, and (3) studying the effect of these peculiarities on the design and implementation of rigorous and efficient security algorithms and protocols. The survey discusses the main advancements in the design of body sensor network cryptographic services (key generation and management, authentication, confidentiality, integrity, and privacy) and sheds the light on the prominent developments achieved in the field of securing body sensor network data in Cloud computing architectures. The elastic virtualization mechanisms employed in the Cloud, as well as the lucrative computing and storage resources available, makes the integration of body sensor network applications, and Cloud platforms a natural choice that is packed with various security and privacy challenges. The work presented in this paper focuses on Cloud privacy and integrity mechanisms that rely on tamper-proof hardware and energy-efficient cryptographic data structures that are proving to be well-suited for operation in untrusted Cloud environments. This paper also examines two crucial design patterns that lie at the crux of any successful body sensor network deployment which are represented in: (1) attaining the right balance between the degree, complexity, span, and strength of the cryptographic operations employed and the energy resources they consume. (2) Achieving a feasible tradeoff between the privacy of the human subject wearing the body sensor network and the safety of this subject. This is done by a careful analysis of the medical status of the subject and other context-related information to control the degree of disclosure of sensitive medical data. The paper concludes by presenting a practical overview of the cryptographic support in the main body sensor network development frameworks such and TinyOS and SPINE and introduces a set of generalized guideline patterns and recommendations for designing and implementing cryptographic protocols in body sensor network environments.
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Ji, Lianying, Tongbi Kang, Lingtong Tian, Meijun Xiong, Wendong Xiao i Jiankang Wu. "Body Sensor Network for Ubiquitous Health Monitoring". Unmanned Systems 03, nr 02 (kwiecień 2015): 163–69. http://dx.doi.org/10.1142/s2301385015500107.

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A body sensor network system has been developed for ubiquitous health monitoring of multiple mobile subjects, which is referred to as UbiHealth. On the body, there are micro-sensors to capture physiological signals of electrocardiography (ECG), blood pressure, respiration and temperature, as well as context information of activity and position. Sensors are coordinated by an on-body gateway, where data are collected, pre-processed and wirelessly sent to the server. The server receives, stores and processes signals from multiple gateways, providing overview of those subjects on a local map, and real-time health status of individual subjects. The application scenarios include, for example, health monitoring for rescue team members in a hazard, and elderly health monitoring in a community.
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Hussein, Safa Saad, C. B. M. Rashidi, Hanan Ali Alrikabi, S. A. Aljunid, Muataz H. Salih i Mohammed Sabri Abuali. "Wireless Body Area Sensor Network: Tutorial Review". Journal of Computational and Theoretical Nanoscience 16, nr 11 (1.11.2019): 4839–52. http://dx.doi.org/10.1166/jctn.2019.8396.

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Sensor networks that utilises wireless technology can be broken down into many smaller fields, one of it is known as Wireless Body Area Sensor Network (WBASN). Its inception is the product of advanced progress made in sensor networks that utilises wireless technology. Immense progress amassed in terms of technology has culminated in the creation of user-friendly technology that could be worn and minute-sized electronic parts. Consequently, this area of study has achieved huge interest prevalently as the result of its wide and diverse range of implementations, especially in the medical sector that deals with wellbeing and care. Current day scenario observes the existence of minute sensors that are enabled to be posited on the human anatomy for purposes of documentation on an assortment of physical constants to reciprocate appropriate responses. Hence, it forms a perceptive and vigilant scheme that can provide a prompt notification towards acute and complex health incidences, and can be utilised for diagnostic purposes to treat diseases. In view of the topic being of broad and current interest, the objective of this study is engaged in the presentation of a multiplex component of cutting-edge WBASN. This involves the transmission structures, applications in WBASN, programming core, concerns on security, and routing conventions that is adept in its use of energy. We endeavour to encapsulate the most up-to-date progress and expounded on the scientific mechanics of radio that is available that is related to this kind of network. Prospective perspectives and problems will be deliberated pertaining this aspect.
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Almogren, Ahmad S. "Developing a Powerful and Resilient Smart Body Sensor Network through Hypercube Interconnection". International Journal of Distributed Sensor Networks 2015 (2015): 1–8. http://dx.doi.org/10.1155/2015/609715.

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With recent advances in wireless sensor networks and embedded computing technologies, body sensor networks (BSNs) have become practically feasible. BSNs consist of a number of sensor nodes located and deployed over the human body. These sensors continuously gather vital sign data of the body area to be used in various intelligent systems in smart environments. This paper presents an intelligent design of the body sensor network based on virtual hypercube structure backbone termed as Smart BodyNet. The main purpose of the Smart BodyNet is to provide resilience for the BSN operation and reduce power consumption. Various experiments were carried out to show the performance of the Smart BodyNet design as compared to the state-of-the-art approaches.
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Fortino, Giancarlo, Ye Li, Mehmet Yuce i Roozbeh Jafari. "Guest Editorial Special Issue on Next-Generation Smart Body Sensor Networks: From Autonomic Body Sensors to Cognitive Body Sensor Network Ecosystems". IEEE Sensors Journal 19, nr 19 (1.10.2019): 8370. http://dx.doi.org/10.1109/jsen.2019.2924500.

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REN, HONGLIANG, i MAX Q. H. MENG. "MODELING THE GROUP MOBILITY PATTERN IN WIRELESS BODY SENSOR NETWORKS". International Journal of Information Acquisition 03, nr 04 (grudzień 2006): 259–70. http://dx.doi.org/10.1142/s0219878906001015.

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Wireless network of wearable biomedical sensors by human body shows great potential to enhance the biometrics performance significantly. Meanwhile, it poses prominent characteristics and challenges to physicians and engineers for its particular medical application as compared to other application of wireless sensor networks (WSN). Mobility pattern plays an important role in designing the wireless body sensor networks (WBSN) and will also affect the accuracy of modeling WBSN in health care application. Much of the mobility scenarios generated in current work of wireless body sensor networks has used fairly simple models to generate the mobile topological graph, which bear little resemblance to the actual mobility patterns. This paper is the first attempt to investigate the mobility model in WBSN based on the existing mobility models in wireless data networks and ad hoc networks. We first briefly review the existing mobility models in related research areas such as wireless ad hoc network and cellular networks. Further on, we propose a dedicated and more realistic mobility model named BAMM (Body Area Mobility Model) for wireless body sensor networks by concentrating on the unique characteristics of WBSN and finally study the effects of mobility on the performance of WBSN by simulation experiments.
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Noda, Tomoyuki, Takahiro Miyashita, Hiroshi Ishiguro, Kiyoshi Kogure i Norihiro Hagita. "Detecting Feature of Haptic Interaction Based on Distributed Tactile Sensor Network on Whole Body". Journal of Robotics and Mechatronics 19, nr 1 (20.02.2007): 42–51. http://dx.doi.org/10.20965/jrm.2007.p0042.

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To extract information about users contacting robots physically, the distribution density of tactile sensor elements, the sampling rate, and the resolution all must be high, increasing the volume of tactile information. In the self-organized skin sensor network we propose for dealing with a large number of tactile sensors embedded throughout a humanoid robot, each network node having a processing unit is connected to tactile sensor elements and other nodes. By processing tactile information in the network based on the situation, individual nodes process and reduce information rapidly in high sampling. They also secure information transmission routes to the host PC using a data transmission protocol for self-organizing sensor networks. In this paper, we verify effectiveness of our proposal through sensor network emulation and basic experiments in spatiotemporal calculation of tactile information using prototype hardware. As an emulation result of the self-organized sensor network, routes to the host PC are secured at each node, and a tree-like network is constructed recursively with the node as a root. As the basic experiments, we describe an edge detection as data processing and extraction for haptic interaction. In conclusion, local information processing is effective for detecting features of haptic interaction.
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Khan, Rahat Ali, i Al-Sakib Khan Pathan. "The state-of-the-art wireless body area sensor networks: A survey". International Journal of Distributed Sensor Networks 14, nr 4 (kwiecień 2018): 155014771876899. http://dx.doi.org/10.1177/1550147718768994.

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Wireless body area sensor network is a sub-field of wireless sensor network. Wireless body area sensor network has come into existence after the development of wireless sensor network reached some level of maturity. This has become possible due to the tremendous technological advancement leading to easy-to-use wireless wearable technologies and electronic components that are small in size. Indeed, this field has gained significant attention in recent time due to its applications which mostly are toward healthcare sector. Today, tiny-sized sensors could be placed on the human body to record various physiological parameters and these sensors are capable of sending data to other devices so that further necessary actions could be taken. Hence, this can be used for diagnosis of disease and for developing serious health-complication alert systems. Considering this recent hot topic, the intent of this work is to present the state-of-the-art of various aspects of wireless body area sensor network, its communication architectures, wireless body area sensor network applications, programming frameworks, security issues, and energy-efficient routing protocols. We have tried to cover the latest advancements with some discussion on the available radio technologies for this type of network. Future visions and challenges in this area are also discussed.
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Zong Chen, Dr Joy Iong, i Lu-Tsou Yeh. "Data Forwarding in Wireless Body Area Networks". June 2020 2, nr 2 (1.06.2020): 80–87. http://dx.doi.org/10.36548/jei.2020.2.002.

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One of the most crucial application of Wireless Body Area Networks in healthcare applications is the process of monitoring human bodies and gather physiological data. Network performance degradation in the form of energy efficiency and latency are caused because of energy depletions which arises due to limited energy resource availability. The heterogeneity of body sensors will lead to variation in the rate of energy consumption. Based on this, a novel Data Forwarding Strategy is presented in this research work to enhance collaborative WBAN operations, improve network lifetime and restrict energy consumption of the sensors. In this paper, we have contributed towards reducing the size of data to be transmitted by compressed sensing and selection of relay sensor based on sampling frequency, energy levels and sensor importance. Using the proposed methodology, it is possible to improve both reliability and energy-efficiency of WBAN data transmission. moreover, it is also possible to adapt to the changing WBAN topologies when the proposed methodology is used, balancing energy efficiency and consumption.
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E. Ramya, Mrs, i Dr R. Gobinath. "Delay metric in wireless body area sensor net-works". International Journal of Engineering & Technology 7, nr 3.3 (8.06.2018): 448. http://dx.doi.org/10.14419/ijet.v7i2.33.14208.

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Wireless Sensor Networks have the potential to greatly impact many aspects of medical care. This paper focuses on fundamental idea about the Protocols, standards, Technologies and measurements taken by the Researchers in the area of Wireless Body Area Sensor. This paper also listed various constraints in Wireless Body Area Sensor Networks and noticed the best suitable techniques for analyzing the Sensor Data. The quality of service is the most fundamental characteristics of any applications like Wireless Network, Wireless Sensor Network and Wireless Body Area Network. The performance factor in WBAN still remains trivial whereas performance issues are also a great concern. This paper given the effort to analyze and present some of the protocols and technologies developed toward performance issues in WBAN.
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Rozprawy doktorskie na temat "Body Sensor Network"

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Aziz, Omer. "A pervasive body sensor network for monitoring post-operative recovery". Thesis, Imperial College London, 2010. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.516553.

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Eljamaly, Omar. "Low-power wireless body area sensor network communication sub-systems". Thesis, University of Surrey, 2008. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.479515.

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Štrbíková, Tatiana. "Výzkum efektivnosti lokalizačních algoritmů s kotevními body". Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2010. http://www.nusl.cz/ntk/nusl-218276.

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The thesis deals with sensor networks and their localization. First section describes sensor networks in general and explains problems of localization and routing. The second part deals with localization using anchors. The principal of the Dv-hop and DV-Distance are there described in detail. These algorithms are used for simulations in Matlab in the main part of this thesis. According to the simulations the most sufficient number of sensors for good localization is estimated.
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Kim, Saim [Verfasser]. "A Body Sensor Network for Fluid Management during Sport / Saim Kim". Aachen : Shaker, 2015. http://d-nb.info/1080764097/34.

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Stucki, Eric Thomas. "Medium Access Control and Networking Protocols for the Intra-Body Network". Diss., CLICK HERE for online access, 2006. http://contentdm.lib.byu.edu/ETD/image/etd1182.pdf.

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Xiao, Shuo Electrical Engineering &amp Telecommunications Faculty of Engineering UNSW. "Transmission power control in body-wearable sensor devices for healthcare monitoring". Publisher:University of New South Wales. Electrical Engineering & Telecommunications, 2008. http://handle.unsw.edu.au/1959.4/41104.

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Emerging body-wearable sensor devices for continuous health monitoring are severely energy constrained and yet required to offer high communication reliability under fluctuating channel conditions. This thesis aims at investigating the opportunities and challenges in the use of dynamic radio transmit power control for prolonging the lifetime of such devices. We first present extensive empirical evidence that the wireless link quality can change rapidly in body area networks, and a fixed transmit power results in either wasted energy (when the link is good) or low reliability (when the link is bad). We then propose a class of schemes feasible for practical implementation that adapt transmit power in real-time based on feedback information from the receiver. We show conservative, balanced, and aggressive adaptations of our scheme that progressively achieve higher energy savings of 14%-30% in exchange for higher potential packet losses (up to 10%). We also provide guidelines on how the parameters can be tuned to achieve the desired trade-off between energy savings and reliability within the chosen operating environment. Finally, we implement and profile our scheme on a MicaZ mote based platform, demonstrating that energy savings are achievable even with imperfect feedback information, and report preliminary results on the ultra-low-power integrated healthcare monitoring platform from our collaborating partner Toumaz Technology. In conclusion, our work shows adaptive radio transmit power control as a low-cost way of extending the battery-life of severely energy constrained body wearable devices, and opens the door to further optimizations customized for specific deployment scenarios.
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Jolly, James, Joe Bishop i Emilio Nanni. "Tracking the Human Body Via a Wireless Network of Pyroelectric Sensor Arrays". International Foundation for Telemetering, 2008. http://hdl.handle.net/10150/606242.

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ITC/USA 2008 Conference Proceedings / The Forty-Fourth Annual International Telemetering Conference and Technical Exhibition / October 27-30, 2008 / Town and Country Resort & Convention Center, San Diego, California
This paper describes the design and construction of a low-cost wireless sensor network (WSN) intended to track a human body walking upright through its physical topology. The network consists of arrays of pyroelectric infrared (PIR) sensors that can detect a moving body up to five meters away within a semicircular field of view. Data is gathered from these arrays and transmitted to a central processor that triangulates the body's position. Important characteristics of both the PIR sensors and the network's asynchronous nature are elaborated upon to illustrate how they affect the interpretation of the data.
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Sheriff, Nathirulla. "Time Synchronization In ANT Wireless Low Power Sensor Network". Thesis, Tekniska Högskolan, Högskolan i Jönköping, JTH, Data- och elektroteknik, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-15068.

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Short range wireless data communication networks that are used for sport and health care are sometimes called Wireless Body Area Networks (WBANs) and they are located more or less on a person. Sole Integrated Gait Sensor (SIGS) is a research project in WBAN, where wireless pressure sensors are placed like soles in the shoes of persons with different kinds of deceases. The sensors can measure the pressure of the foot relative to the shoe i.e. the load of the two legs is measured. This information can be useful e.g. to not over or under load a leg after joint replacement or as a bio feedback system to help e.g. post stroke patients to avoid falling. The SIGS uses the ANT Protocol and radio specification. ANT uses the 2.4 GHz ISM band and TDMA is used to share a single frequency. The scheduling of time slots is adaptive isochronous co-existence i.e. the scheduling is not static and each transmitter sends periodically but checks for interference with other traffic on the radio channel. In this unidirectional system sole sensors are masters (transmitters) and the WBAN server is the slave in ANT sense. The message rate is chosen as 8 Hz which is suitable for low power consumption. Hence in the SIGS system, it is necessary to synchronize the left and the right foot sensors because of low message rate. In our thesis, we found a method and developed a prototype to receive the time synchronized data in WBAN server from ANT wireless sensor nodes in SIGS system. For this thesis work, a hardware prototype design was developed. The USB and USART communication protocols were also implemented in the hardware prototype. The suitable method for time synchronization was implemented on the hardware prototype. The implemented method receives the sensor data, checks for the correct stream of data; add timestamp to the sensor data and transmit the data to the Linux WBAN server. The time slots allocation in the ANT protocol was found. Alternative solution for the time synchronization in ANT protocol was also provided. The whole SIGS system was tested for its full functionality. The experiments and analysis which we performed were successful and the results obtained provided good time synchronization protocol for ANT low power wireless sensor network and for Wireless Bio-feedback system.
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Li, Kejia. "Custom biomedical sensors for application in wireless body area networks and medical device integration frameworks". Diss., Kansas State University, 2012. http://hdl.handle.net/2097/14632.

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Doctor of Philosophy
Department of Electrical & Computer Engineering
Steve Warren
The U.S. health care system is one of the most advanced and costly systems in the world. The health services supply/demand gap is being enlarged by the aging population coupled with shortages in the traditional health care workforce and new information technology workers. This will not change if the current medical system adheres to the traditional hospital-centered model. One promising solution is to incorporate patient-centered, point-of-care test systems that promote proactive and preventive care by utilizing technology advancements in sensors, devices, communication standards, engineering systems, and information infrastructures. Biomedical devices optimized for home and mobile health care environments will drive this transition. This dissertation documents research and development focused on biomedical device design for this purpose (including a wearable wireless pulse oximeter, motion sensor, and two-thumb electrocardiograph) and, more importantly, their interactions with other medical components, their supporting information infrastructures, and processing tools that illustrate the effectiveness of their data. The GumPack concept and prototype introduced in Chapter 2 addresses these aspects, as it is a sensor-laden device, a host for a local body area network (BAN), a portal to external integration frameworks, and a data processing platform. GumPack sensor-component design (Chapters 3 and 4) is oriented toward surface applications (e.g., touch and measure), an everyday-carry form factor, and reconfigurability. Onboard tagging technology (Chapters 5 and 6) enhances sensor functionality by providing, e.g., a signal quality index and confidence coefficient for itself and/or next-tier medical components (e.g., a hub). Sensor interaction and integration work includes applications based on the GumPack design (Chapters 7 through 9) and the Medical Device Coordination Framework (Chapters 10 through 12). A high-resolution, wireless BAN is presented in Chapter 8, followed by a new physiological use case for pulse wave velocity estimation in Chapter 9. The collaborative MDCF work is transitioned to a web-based Hospital Information Integration System (Chapter 11) by employing database, AJAX, and Java Servlet technology. Given the preceding sensor designs and the availability of information infrastructures like the MDCF, medical platform-oriented devices (Chapter 12) could be an innovative and efficient way to design medical devices for hospital and home health care applications.
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Jobs, Magnus. "Design and Performance of Diversity based Wireless Interfaces for Sensor Network Nodes". Licentiate thesis, Uppsala universitet, Fasta tillståndets elektronik, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-198734.

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The main focus of the work presented in this licentiate thesis concerns antenna design, adaptive antenna control and investigation on how the performance of small wireless nodes can be increased by inclusion of multiple antennas. In order to provide an end-user suitable solution for wireless nodes the devices require both small form factor and good performance in order to be competitive on the marked and thus the main part of this thesis focuses on techniques developed to achieve these goals. Two prototype systems have been developed where one has been used by National Defence Research Agency (FOI) to successfully monitor a test-subject moving in an outdoor terrain. The other prototype system shows the overall performance gain achievable in a wireless sensor node when multiple antennas and antenna beam steering is used. As an example of how to include multiple antennas in a wireless node the concept of using dual conformal patch antennas for wireless nodes is presented. The proposed antenna showed an excess of 10 dB gain when using a single driven antenna element as would be the case in a system utilizing antenna selection combining. When used as a 2-element phased array, up to 19 dB gain was obtained in a multiscattering environment. Using the second order resonance the proposed antenna structure achieves low mutual coupling and a reflection coefficient lower than -15 dB. The presented antenna design shows how a dual antenna wireless node can be designed using discrete phase control with passive matching which provides a good adaptive antenna solution usable for wireless sensor networks. The inclusion of discrete phase sweep diversity in a wireless node has been evaluated and shown to provide a significant diversity gain. The diversity gain of a discrete phase sweep diversity based system was measured in both a reverberation chamber and a real life office environment. The former environment showed between 5.5 to 10.3 dB diversity gain depending on the detector architecture and the latter showed a diversity gain ranging from 1 to 5.4 dB. Also the performance of nodes designed to be placed in a high temperature and multiscattering environment (the fan stage of a jet engine) has been evaluated. The work was carried out in order to verify that a wireless sensor network is able to operate in such a multiscattering environment. It was shown that the wireless nodes are able to operate in an emulated turbine environment based on real-life measured turbine fading data. The tested sensor network was able to transmit 32 byte packages using cyclic redundancy check at 2 Mbps at an engine speed of 13.000 rpm.
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Książki na temat "Body Sensor Network"

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Yang, Guang-Zhong, red. Body Sensor Networks. London: Springer London, 2014. http://dx.doi.org/10.1007/978-1-4471-6374-9.

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Yang, Guang-Zhong, red. Body Sensor Networks. London: Springer London, 2006. http://dx.doi.org/10.1007/1-84628-484-8.

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Wegmüller, Marc Simon. Intra-body communication for biomedical sensor networks. Konstanz: Hartung-Gorre, 2007.

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Wegmüller, Marc Simon. Intra-body communication for biomedical sensor networks. Konstanz: Hartung-Gorre, 2007.

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Zhang, Rongrong, i Jihong Yu. Energy-Efficient Algorithms and Protocols for Wireless Body Sensor Networks. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-28580-7.

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Ma.) International Workshop on Wearable and Implantable Body Sensor Networks (2006 Cambridge. BSN 2006: International Workshop on Wearable and Implantable Body Sensor Networks : proceedings, 3-5 April 2006, Cambridge, Massachusetts, U.S.A. Los Alamitos, Calif: IEEE Computer Society Press, 2006.

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International, Workshop on Wearable and Implantable Body Sensor Networks (6th 2009 Berkeley CA). Proceedings: Sixth International Workshop on Wearable and Implantable Body Sensor Networks : Berkeley, CA 3-5 June 2009. Los Alamitos, Calif: IEEE Computer Society Press, 2009.

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Leonhardt, Steffen, Thomas Falck i Petri Mähönen, red. 4th International Workshop on Wearable and Implantable Body Sensor Networks (BSN 2007). Berlin, Heidelberg: Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-70994-7.

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International, Workshop on Wearable and Implantable Body Sensor Networks (4th 2007 Aachen Germany). 4th International Workshop on Wearable and Implantable Body Sensor Networks (BSN 2007): March 26 - March 28, 2007, RWTH Aachen University, Germany. Berlin: Springer, 2007.

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International Conference on "Smart Materials, Structures, and Systems" (4th 2012 Terme, Italy). Wearable/wireless body sensor networks for healthcare applications: Selected, peer reviewed papers from the Symposium I "Progress in wearable/wireless and implantable body sensor networks for healthcare applications" of CIMTEC 2012 - 4th International Conference "Smart Materials, Structures and Systems" held in Montecatini Terme, Italy, June 10-14, 2012. Durnten-Zurich: Trans Tech, 2013.

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Części książek na temat "Body Sensor Network"

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Espina, Javier, Thomas Falck, Athanasia Panousopoulou, Lars Schmitt, Oliver Mülhens i Guang-Zhong Yang. "Network Topologies, Communication Protocols, and Standards". W Body Sensor Networks, 189–236. London: Springer London, 2014. http://dx.doi.org/10.1007/978-1-4471-6374-9_5.

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Tanbeer, Syed Khairuzzaman, Mohammad Mehedi Hassan, Majed Alrubaian i Byeong-Soo Jeong. "Mining Regularities in Body Sensor Network Data". W Internet and Distributed Computing Systems, 88–99. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-23237-9_9.

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Giani, Annarita, Ville-Pekka Seppä, Jari Hyttinen i Ruzena Bajcsy. "Building Trust on Body Sensor Network Signals". W IFMBE Proceedings, 887–90. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-540-89208-3_211.

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Ukkonen, Leena, i Yahya Rahmat-Samii. "Antennas in Body-Centric Sensor Network Devices". W Handbook of Antenna Technologies, 2589–612. Singapore: Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-4560-44-3_108.

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Ukkonen, Leena, i Yahya Rahmat-Samii. "Antennas in Body-Centric Sensor Network Devices". W Handbook of Antenna Technologies, 1–20. Singapore: Springer Singapore, 2015. http://dx.doi.org/10.1007/978-981-4560-75-7_108-1.

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Raju, Robinson, Melody Moh i Teng-Sheng Moh. "Compression of Wearable Body Sensor Network Data". W Smart Data, 215–42. Boca Raton, Florida : CRC Press, [2019]: Chapman and Hall/CRC, 2019. http://dx.doi.org/10.1201/9780429507670-10.

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Elyazidi, Saâd, Ponciano Jorge Escamilla-Ambrosio, Gina Gallegos-Garcia i Abraham Rodríguez-Mota. "Accelerometer Based Body Area Network Sensor Authentication". W Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 151–64. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-73323-4_15.

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Radhakrishnan, K. R., T. Kohilakanagalakshmi, Salini Suresh, T. M. Thiyagu i Amita Sharma. "Applications of Body Sensor Network in Healthcare". W IoT and AI Technologies for Sustainable Living, 171–95. Boca Raton: CRC Press, 2022. http://dx.doi.org/10.1201/9781003051022-11.

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Dorronzoro, Enrique, Ana Verónica Medina, Isabel Gómez, José Antonio Gómez i Manuel Merino Monge. "A Standard-Based Body Sensor Network System Proposal". W Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 106–15. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-32304-1_10.

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Li, Xiao-fang, i Shuang Zhang. "Galvanic Coupling Type Intra-body Communication Human Body Implantable Sensor Network". W Advances in Intelligent and Soft Computing, 147–52. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-29390-0_25.

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Streszczenia konferencji na temat "Body Sensor Network"

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Kaur, Harminder, i Sharvan Kumar Pahuja. "MAC Protocols for Wireless Body Sensor Network". W International Conference on Women Researchers in Electronics and Computing. AIJR Publisher, 2021. http://dx.doi.org/10.21467/proceedings.114.33.

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Streszczenie:
Wireless Body Area Networks, also known as the Wireless Body Sensor Networks, provides the monitoring of the health parameters in remote areas and where the medical facility is not available. Wireless Body Sensor Networks contains the body or placement of the sensors on body for measuring the medical and non-medical parameters. These networks share the wireless medium for the transmission of the data from one place to another. So the design of Medium Access Control is a challenging task for the WBSNs due to wireless media for less energy consumption and mobility. Various MAC protocols are designed to provide less energy consumption and improve the network lifetime. This paper presents the study of these existing MAC layer protocols based on different QoS parameters that define the network quality.
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Tan, Chiu C., Haodong Wang, Sheng Zhong i Qun Li. "Body sensor network security". W the first ACM conference. New York, New York, USA: ACM Press, 2008. http://dx.doi.org/10.1145/1352533.1352557.

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Natarajan, Anirudh, Mehul Motani, Buddhika de Silva, Kok-Kiong Yap i K. C. Chua. "Investigating network architectures for body sensor networks". W the 1st ACM SIGMOBILE international workshop. New York, New York, USA: ACM Press, 2007. http://dx.doi.org/10.1145/1248054.1248061.

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Kumari, Priti, i Tricha Anjali. "Securing a body sensor network". W 2017 9th International Conference on Communication Systems and Networks (COMSNETS). IEEE, 2017. http://dx.doi.org/10.1109/comsnets.2017.7945445.

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Hanson, Mark A., Harry C. Powell Jr., Adam T. Barth, John Lach i Maïté Brandt-Pearce. "Neural Network Gait Classification for On-Body Inertial Sensors". W Implantable Body Sensor Networks Conference (BSN). IEEE, 2009. http://dx.doi.org/10.1109/bsn.2009.48.

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Barth, Adam T., Mark A. Hanson, Harry C. Powell Jr. i John Lach. "TEMPO 3.1: A Body Area Sensor Network Platform for Continuous Movement Assessment". W Implantable Body Sensor Networks Conference (BSN). IEEE, 2009. http://dx.doi.org/10.1109/bsn.2009.39.

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Gu, W. B., C. C. Y. Poon, M. Y. Sy, H. K. Leung, Y. P. Liang i Y. T. Zhang. "A h-Shirt-Based Body Sensor Network for Cuffless Calibration and Estimation of Arterial Blood Pressure". W Implantable Body Sensor Networks Conference (BSN). IEEE, 2009. http://dx.doi.org/10.1109/bsn.2009.23.

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Brandão, Pedro. "Modelling correlations for Body Sensor Network information". W 7th International Conference on Body Area Networks. ACM, 2012. http://dx.doi.org/10.4108/icst.bodynets.2012.249972.

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Sala, Marco, Paolo Cunzolo i Diego Barrettino. "Body sensor network for posturometric studies". W 2014 IEEE International Instrumentation and Measurement Technology Conference (I2MTC). IEEE, 2014. http://dx.doi.org/10.1109/i2mtc.2014.6860802.

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Nabar, Sidharth, Ayan Banerjee, Sandeep K. S. Gupta i Radha Poovendran. "Evaluation of body sensor network platforms". W Wireless Health 2010. New York, New York, USA: ACM Press, 2010. http://dx.doi.org/10.1145/1921081.1921096.

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