DocumentCode :
2973854
Title :
Energy Consumption in Wireless Sensor Networks under Varying Sensor Node Traffic
Author :
Fapojuwo, Abraham O. ; Tse, Chi K. ; Lau, Francis C M
Author_Institution :
Dept. of Electron. & Inf. Eng., Hong Kong Polytech. Univ., Hong Kong, China
fYear :
2010
fDate :
18-21 April 2010
Firstpage :
1
Lastpage :
6
Abstract :
This paper studies the problem of energy consumption minimization in wireless sensor networks (WSNs) under uncertainty in sensor node generated traffic. It is important to consider traffic uncertainty because WSNs designed for surveillance and monitoring applications typically operate in event-driven and query-driven modes for which the node generated traffic changes from instant to instant. The problem is formulated as a two-stage stochastic linear program with recourse where the objective is to minimize the sum of the energy cost expended on the carried traffic and the average energy cost of blocked traffic, under the constraint of a fixed energy budget at each node. The stochastic programming formulation lends to the consideration of two approaches for handling the randomly generated traffic: a deterministic approach in which all future generated random traffic are constrained by the link flows determined for the nominal traffic, and a stochastic approach where the link flows are adapted as the node generated traffic changes. Numerical results show that, compared to the deterministic approach, the stochastic approach provides up to 10% savings in network-level energy consumption and this is achieved without a loss in received data quality. The network-level energy savings translate to a prolonged network lifetime.
Keywords :
linear programming; radio links; stochastic programming; surveillance; telecommunication traffic; wireless sensor networks; deterministic approach; energy consumption minimization; event-driven mode; link flows; monitoring application; nominal traffic; query-driven mode; surveillance application; traffic uncertainty; two-stage stochastic linear program; varying sensor node traffic; wireless sensor network; Communications Society; Costs; Energy consumption; Peer to peer computing; Power engineering and energy; Stochastic processes; Surveillance; Telecommunication traffic; Uncertainty; Wireless sensor networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wireless Communications and Networking Conference (WCNC), 2010 IEEE
Conference_Location :
Sydney, NSW
ISSN :
1525-3511
Print_ISBN :
978-1-4244-6396-1
Type :
conf
DOI :
10.1109/WCNC.2010.5506500
Filename :
5506500
Link To Document :
بازگشت