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This book provides a novel solution for existing challenges in wireless body sensor networks (WBAN) such as network lifetime, fault tolerant approaches, reliability, security, and privacy. The contributors first discuss emerging trends of WBAN in the present health care system. They then provide possible solutions to challenges inherent in WBANs. Finally, they discuss results in working environments. Topics include communication protocols of implanted, wearable and nano body sensor networks; energy harvesting methodologies and experimentation for WBAN; reliability analysis and fault tolerant…mehr
This book provides a novel solution for existing challenges in wireless body sensor networks (WBAN) such as network lifetime, fault tolerant approaches, reliability, security, and privacy. The contributors first discuss emerging trends of WBAN in the present health care system. They then provide possible solutions to challenges inherent in WBANs. Finally, they discuss results in working environments. Topics include communication protocols of implanted, wearable and nano body sensor networks; energy harvesting methodologies and experimentation for WBAN; reliability analysis and fault tolerant architecture for WBAN; and handling network failure during critical duration. The contributors consist of researchers and practitioners in WBAN around the world.
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Autorenporträt
¿Dr. R. Maheswar has completed his B.E (ECE) from Madras University in the year 1999, M.E (Applied Electronics) from Bharathiyar University in the year 2002 and Ph.D in the field of Wireless Sensor Network from Anna University in the year 2012. He has about 16 years of teaching experience at various levels and presently working as a Professor in the Electronics and Communication Engineering Department, Sri Krishna College of Technology, Coimbatore. He has published 40 papers at International Journals and International Conferences. His research interest includes Wireless Sensor Network, Queueing theory and Performance Evaluation. Dr. G. R. Kanagachidambaresan received his Bachelor degree in Electrical and Electronics Engineering in 2010, Master's degree in Pervasive Computing Technologies in 2012 and PhD in Information and Communication Engineering in 2017. He is currently an Associate Professor in Department of Computer Science and Engineering in Veltech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology. His main research interest includes Body Sensor Network, Fault tolerant Wireless Network and IoT. Dr. R. Jayaparvathy, Professor, Department of ECE has a teaching experience of 29 years, 6 months. She graduated with distinction from Government College of Technology, Coimbatore in the year 1987. She obtained her PG degree in Applied Electronics from Coimbatore Institute of Technology, Coimbatore and Ph.D in Information and Communication Engineering from AU-KBC Research Centre, Anna University, Chennai. Prior to joining SSN, she served as a Faculty in Coimbatore Institute of Technology, Coimbatore for 24 years. She has been a member of the Academic Council, Research Board, Board of Studies (CIT and PSG College of Technology), and Chief Superintendent of Autonomous Examinations in CIT. She has been the Auditor for the Technical Auditing implemented by Anna University, Coimbatore. She has also worked as Member-Research Staff in AU-KBC Research Centre for 3 years. She has been the Principal Investigator of AICTE sponsored projects and her prototype project for Elephant Intrusion Detection in the Forest border areas done in collaboration with the Forest Department was widely reported by media. Her areas of interest include Wireless MAC, Wireless Sensor Networks including Body Area Networks and Embedded Systems. She has organized National level Technical Workshops and National and International Conferences. Dr. Jayaparvathy is a senior member of IEEE. She is a research Supervisor under Anna University. Many candidates have completed and some are pursuing Ph.D under her Supervision in the areas of Wireless and Embedded Systems. She has guided a number of PG and UG projects with publications leading to Best Paper Awards. She has been an Expert member for AICTE-AQIS proposal Evaluation. She is a reviewer for many reputed journals and part of the Technical Program Committee in many Conferences. Dr. Sabu M. Thampi is an Associate Professor at Indian Institute of Information Technology and Management - Kerala (IIITM-K), Technopark Campus, Trivandrum, Kerala State, India. He has completed Ph.D in Computer Engineering under the supervision of Dr. K. Chandrasekaran from National Institute of Technology Karnataka. Sabu has several years of teaching and research experience in various institutions in India. His research interests include sensor networks, IoT, authorship analysis, social networks, nature inspired computing, very large databases, image forensics, video surveillance and secure localization. He has authored and edited few books published by reputed international publishers and published papers in academic journals and international and national proceedings. Sabu has served as Guest Editor for special issues in few international journals and program committee member for many international conferences and workshops. He has co-chaired several international workshops and conferences. He has initiated and is also involved in the organization of several annual conferences/symposiums: International Conference on Advances in Computing, Communications and Informatics (ICACCI), International Conference on Computing and Network Communications (CoCoNet), Symposium on Intelligent Systems Technologies and Applications (ISTA), Symposium on Security in Computing and Communications (SSCC), Symposium on Intelligent Informatics (ISI), Symposium on Signal Processing and Intelligent Recognition Systems (SIRS) etc. Sabu is currently serving as Editor for Journal of Network and Computer Applications (JNCA), Elsevier and Journal of Applied Soft Computing, Elsevier; and Associate Editor for IEEE Access and International Journal of Embedded Systems, Inderscience, UK; and reviewer for several reputed international journals. Sabu is a Senior Member of Institute of Electrical and Electronics Engineers(IEEE)and member of IEEE Communications Society, IEEE SMCS, and ACM. He is the founding Chair of ACM Trivandrum Professional Chapter. He was honored with the ASDF Award for Best Computer Science Faculty in 2012.
Inhaltsangabe
Introduction.- Features of wireless body sensor networks.- Emerging trends of WBSN and the present health care system.- Technology, protocols and use cases of wireless WBSN.- Literature survey on various health monitoring system.- Wireless communication protocols in health monitoring.- WBSN challenges and their solutions.- Communication protocols of implanted, wearable and nano body sensor networks.- Interference and channel allocation.- Energy harvesting methodologies and experimentation.- Reliability analysis and fault tolerant architecture for WBSN.- Buffer management in delay tolerant and delay in tolerant monitoring.- Handling network failure during critical duration.- Trust models and digital signature concepts in wearable nodes.- Animal health monitoring system.- Physiological sensor design.- Factors affecting Sensor reusability, Sensing time and sensed state to initial state.- Conclusion.
Introduction.- Features of wireless body sensor networks.- Emerging trends of WBSN and the present health care system.- Technology, protocols and use cases of wireless WBSN.- Literature survey on various health monitoring system.- Wireless communication protocols in health monitoring.- WBSN challenges and their solutions.- Communication protocols of implanted, wearable and nano body sensor networks.- Interference and channel allocation.- Energy harvesting methodologies and experimentation.- Reliability analysis and fault tolerant architecture for WBSN.- Buffer management in delay tolerant and delay in tolerant monitoring.- Handling network failure during critical duration.- Trust models and digital signature concepts in wearable nodes.- Animal health monitoring system.- Physiological sensor design.- Factors affecting Sensor reusability, Sensing time and sensed state to initial state.- Conclusion.
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