DocumentCode :
30542
Title :
Energy-Efficient, Heterogeneous Sensor Selection for Physical Activity Detection in Wireless Body Area Networks
Author :
Zois, Daphney-Stavroula ; Levorato, Marco ; Mitra, U.
Author_Institution :
Ming Hsieh Dept. of Electr. Eng., Univ. of Southern California, Los Angeles, CA, USA
Volume :
61
Issue :
7
fYear :
2013
fDate :
1-Apr-13
Firstpage :
1581
Lastpage :
1594
Abstract :
In this paper, the problem of efficient operation of an energy-constrained, heterogeneous Wireless Body Area Network (WBAN) to optimize an activity detection application is addressed. WBANs constitute a new class of wireless sensor networks that enable diverse applications in healthcare, entertainment, sports, military and emergency situations. A typical WBAN consists of a few, heterogeneous sensors wirelessly coupled to an energy-constrained fusion center which, according to observations of a real-world prototype WBAN, imposes critical restrictions on system lifetime. To address this issue, a novel stochastic control framework is introduced, which considers both sensor heterogeneity and application requirements, for achieving the two-fold goal: energy savings with satisfactory detection performance. An optimal dynamic programming algorithm for the sensor selection problem is also derived. Important properties of the cost functionals are derived and used to design three approximation algorithms, which offer near optimal performance with significant complexity reduction. Simulations on real-world data show energy gains as high as 68% in comparison to an equal allocation scheme with probability of detection error on the order of 10-4.
Keywords :
body area networks; body sensor networks; dynamic programming; signal detection; telecommunication network reliability; allocation scheme; cost functionals; detection error probability; emergency situation; energy-constrained fusion center; energy-constrained heterogeneous WBAN; energy-efficient heterogeneous sensor selection; entertainment; healthcare; military; optimal dynamic programming algorithm; physical activity detection; real-world prototype WBAN; sensor heterogeneity; sensor selection problem; sports; stochastic control framework; system lifetime; wireless body area networks; Accuracy; Approximation methods; Dynamic programming; Energy consumption; Heuristic algorithms; Prototypes; Wireless sensor networks; Approximation algorithms; body sensor networks; controlled sensing; dynamic sensor selection; energy-efficient tracking; heterogeneous resource management; partially observable Markov decision processes (POMDP); physical activity detection; stochastic dynamic programming;
fLanguage :
English
Journal_Title :
Signal Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
1053-587X
Type :
jour
DOI :
10.1109/TSP.2012.2236320
Filename :
6421005
Link To Document :
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