2012 IEEE 11th International Conference on Trust, Security and Privacy in Computing and Communications 2012
DOI: 10.1109/trustcom.2012.220
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Performance Study of Localization Techniques in Wireless Body Area Sensor Networks

Abstract: Abstract-One of the major issues in Wireless Body

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Cited by 17 publications
(27 citation statements)
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References 6 publications
(12 reference statements)
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“…The protocol focuses on minimizing of energy consumption and maximizing the number of packets, sent over the network. Performance of indoor localization schemes for optimal placement of wireless nodes in a location where tracking is required, is verified in [14]. In this research, the performance of Particle filtering and Kalman filtering based location tracking techniques using Bays algorithm and HMM (Hidden Markov Model) in terms of localization accuracy is presented.…”
Section: Related Workmentioning
confidence: 99%
See 1 more Smart Citation
“…The protocol focuses on minimizing of energy consumption and maximizing the number of packets, sent over the network. Performance of indoor localization schemes for optimal placement of wireless nodes in a location where tracking is required, is verified in [14]. In this research, the performance of Particle filtering and Kalman filtering based location tracking techniques using Bays algorithm and HMM (Hidden Markov Model) in terms of localization accuracy is presented.…”
Section: Related Workmentioning
confidence: 99%
“…In this research, the performance of Particle filtering and Kalman filtering based location tracking techniques using Bays algorithm and HMM (Hidden Markov Model) in terms of localization accuracy is presented. Authors in [14], [15] analyze delay in WBANs and different medium access techniques for WBAN. In [16] author proposed a delay tolerant protocol.…”
Section: Related Workmentioning
confidence: 99%
“…A lot of work is carried which focuses on energy efficiency optimization problem in WSNs (e.g. [7,11,16,9]). Different types of ECCs are investigated in [3] and based upon BER and power consumption criteria, Reed Solomon code RS(31, 21) is considered to be an appropriate choice.…”
Section: Related Work and Motivationmentioning
confidence: 99%
“…SRof f (7) Assuming that transmitting power for all nodes is constant and is denoted by Pt, α is the path loss exponent and noise components being modeled as additional AWGN with variance No. Received SNR γ for a link can be obtained by probability distribution function (PDF) given in [10] as:…”
Section: System Modelmentioning
confidence: 99%
“…The performance of indoor localization schemes for optimal placement of wireless sensors in an area where, location tracking is required, is verified in [19]. In this paper, the performance of Particle filtering and Kalman filtering based location tracking techniques using Bays algorithm and Hiden Markov Model (HMM) in terms of localization accuracy is presented.…”
Section: Related Workmentioning
confidence: 99%