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Relevant bibliographies by topics / Body Sensor Network

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Academic literature on the topic 'Body Sensor Network'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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Journal articles on the topic "Body Sensor Network"

1

Pawan, Kumar Verma, and Sondhi Preeti. "Wireless Sensor Body Area Network." International Journal of Trend in Scientific Research and Development 3, no. 4 (2019): 1374–77. https://doi.org/10.5281/zenodo.3591115.

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Recent advancement of wearable computing and wearable sensor devices has empowered the development of Wireless Body Area Networks WBANs . Wireless body area network is made up of remotely connected miniaturized sensors placed in, on or around the Human Body, which provides continuous monitoring of physiological signs to support medical, lifestyle and entertainment applications. This paper offers a survey of the concept of Wireless Body Area Networks. First, we focus on some applications with special interest in patient monitoring. Then the communication in a WBAN and its positioning between th

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Itani, Wassim, Ayman Kayssi, and Ali Chehab. "Wireless Body Sensor Networks." International Journal of Reliable and Quality E-Healthcare 5, no. 2 (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 adva

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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 p

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M. Iniyan and A. Banumathi. "The WBANs: Steps towards a comprehensive analysis of wireless body area networks." Scientific Temper 15, no. 03 (2024): 2888–98. https://doi.org/10.58414/scientifictemper.2024.15.3.61.

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The wireless sensor network (WSN) has been an active research topic for years, extensively used in the military, healthcare, automation and various other applications. Inspired by the WSN, the wireless body area network (WBAN) is a crucial infrastructure for remote health monitoring and treatment, with sensors installed in the human body to detect medical indicators and gather data. These sensor nodes function even in harsh conditions where human communication is difficult, all while operating on a minimal power budget. In this paper, we cover various aspects of wireless body area networks, su

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REN, HONGLIANG, and MAX Q. H. MENG. "MODELING THE GROUP MOBILITY PATTERN IN WIRELESS BODY SENSOR NETWORKS." International Journal of Information Acquisition 03, no. 04 (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

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Ji, Lianying, Tongbi Kang, Lingtong Tian, Meijun Xiong, Wendong Xiao, and Jiankang Wu. "Body Sensor Network for Ubiquitous Health Monitoring." Unmanned Systems 03, no. 02 (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

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Hussein, Safa Saad, C. B. M. Rashidi, Hanan Ali Alrikabi, S. A. Aljunid, Muataz H. Salih, and Mohammed Sabri Abuali. "Wireless Body Area Sensor Network: Tutorial Review." Journal of Computational and Theoretical Nanoscience 16, no. 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 t

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Khan, Rahat Ali, and Al-Sakib Khan Pathan. "The state-of-the-art wireless body area sensor networks: A survey." International Journal of Distributed Sensor Networks 14, no. 4 (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 var

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Fortino, Giancarlo, Ye Li, Mehmet Yuce, and 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, no. 19 (2019): 8370. http://dx.doi.org/10.1109/jsen.2019.2924500.

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Noda, Tomoyuki, Takahiro Miyashita, Hiroshi Ishiguro, Kiyoshi Kogure, and Norihiro Hagita. "Detecting Feature of Haptic Interaction Based on Distributed Tactile Sensor Network on Whole Body." Journal of Robotics and Mechatronics 19, no. 1 (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 s

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Dissertations / Theses on the topic "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

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Jolly, James, Joe Bishop, and 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<br>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

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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 sys

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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<br>Department of Electrical & Computer Engineering<br>Steve Warren<br>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 u

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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

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Books on the topic "Body Sensor Network"

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

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

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Guang-Zhong, Yang, ed. Body sensor networks. Springer, 2006.

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

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

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Zhang, Rongrong, and Jihong Yu. Energy-Efficient Algorithms and Protocols for Wireless Body Sensor Networks. 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. 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. IEEE Computer Society Press, 2009.

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Leonhardt, Steffen, Thomas Falck, and Petri Mähönen, eds. 4th International Workshop on Wearable and Implantable Body Sensor Networks (BSN 2007). 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. Springer, 2007.

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Book chapters on the topic "Body Sensor Network"

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Espina, Javier, Thomas Falck, Athanasia Panousopoulou, Lars Schmitt, Oliver Mülhens, and Guang-Zhong Yang. "Network Topologies, Communication Protocols, and Standards." In Body Sensor Networks. 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, and Byeong-Soo Jeong. "Mining Regularities in Body Sensor Network Data." In Internet and Distributed Computing Systems. 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, and Ruzena Bajcsy. "Building Trust on Body Sensor Network Signals." In IFMBE Proceedings. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-540-89208-3_211.

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

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

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Raju, Robinson, Melody Moh, and Teng-Sheng Moh. "Compression of Wearable Body Sensor Network Data." In Smart Data. 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, and Abraham Rodríguez-Mota. "Accelerometer Based Body Area Network Sensor Authentication." In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering. 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, and Amita Sharma. "Applications of Body Sensor Network in Healthcare." In IoT and AI Technologies for Sustainable Living. 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, and Manuel Merino Monge. "A Standard-Based Body Sensor Network System Proposal." In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-32304-1_10.

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

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Conference papers on the topic "Body Sensor Network"

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Mastoi, Qurat-Ul-Ain, and Abdullah Lakhan. "Meta-Verse Assisted Healthcare Body Sensor Network Architecture." In 2024 IEEE 20th International Conference on Body Sensor Networks (BSN). IEEE, 2024. https://doi.org/10.1109/bsn63547.2024.10780550.

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Lanotte, Francesco, Shusuke Okita, Megan K. O'Brien, and Arun Jayaraman. "A Stroke Specific Neural Network to Estimate Continuous Gait Speed Using a Single Inertial Measurement Unit." In 2024 IEEE 20th International Conference on Body Sensor Networks (BSN). IEEE, 2024. https://doi.org/10.1109/bsn63547.2024.10780728.

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Sargolzaei, Saman, and Christopher Giza. "Brain Functional Connectivity Network Adjustments After Lateral Fluid Percussion Injury in Immature Rats, a Longitudinal Study." In 2024 IEEE 20th International Conference on Body Sensor Networks (BSN). IEEE, 2024. https://doi.org/10.1109/bsn63547.2024.10780527.

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Kaur, Harminder, and Sharvan Kumar Pahuja. "MAC Protocols for Wireless Body Sensor Network." In 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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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 desi

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Tan, Chiu C., Haodong Wang, Sheng Zhong, and Qun Li. "Body sensor network security." In the first ACM conference. 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, and K. C. Chua. "Investigating network architectures for body sensor networks." In the 1st ACM SIGMOBILE international workshop. ACM Press, 2007. http://dx.doi.org/10.1145/1248054.1248061.

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Kumari, Priti, and Tricha Anjali. "Securing a body sensor network." In 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, and Maïté Brandt-Pearce. "Neural Network Gait Classification for On-Body Inertial Sensors." In 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., and John Lach. "TEMPO 3.1: A Body Area Sensor Network Platform for Continuous Movement Assessment." In Implantable Body Sensor Networks Conference (BSN). IEEE, 2009. http://dx.doi.org/10.1109/bsn.2009.39.

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

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Reports on the topic "Body Sensor Network"

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Sattar, Farook. Distributed body sensor network using V2V/V2I communications for safety driving - An overview and a new proposal. Peeref, 2023. http://dx.doi.org/10.54985/peeref.2306p2034835.

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Sattar, Farook. Distributed body sensor network using V2V/V2I communications for safety driving - An overview and a new proposal. Peeref, 2023. http://dx.doi.org/10.54985/peeref.2306p9112302.

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