DocumentCode :
2840990
Title :
Energy analysis of sensor nodes in WSN based on discrete-time queueing model with a setup
Author :
Sun, Qingtian ; Jin, Shunfu ; Chen, Chen
Author_Institution :
Coll. of Inf. Sci. & Eng., Yanshan Univ., Qinhuangdao, China
fYear :
2010
fDate :
26-28 May 2010
Firstpage :
4114
Lastpage :
4118
Abstract :
Wireless sensor network is an energy-constrained system. Energy efficiency and data latency are two important performance measures needed to be considered when designing a wireless sensor network. Based on the power management mode in IEEE 802.15.4, taking into account the switching procedure from the sleep mode to the active mode, a discrete-time queueing model with a setup is built, and the analysis of the queueing model in steady state is given. Moreover, we present the performance measures in terms of the handover ratio, the average response time of data frames and the average energy consumption, and we also discuss the relationships between the system performance measures and the constellation size. Finally, we construct a cost function and obtain the optimal constellation size.
Keywords :
energy conservation; queueing theory; wireless sensor networks; IEEE 802.15.4; active mode; average energy consumption; average response time; cost function; data latency; discrete-time queueing model; energy analysis; energy efficiency; energy-constrained system; handover ratio; optimal constellation size; performance measure; power management mode; sensor nodes; sleep mode; switching procedure; wireless sensor network; Delay; Energy efficiency; Energy management; Energy measurement; Power system management; Power system modeling; Queueing analysis; Size measurement; Time measurement; Wireless sensor networks; Constellation Size; Data Latency; Discrete-Time Queueing Model with Setup; Energy Efficiency; Power Management Mode; Wireless Sensor Network;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control and Decision Conference (CCDC), 2010 Chinese
Conference_Location :
Xuzhou
Print_ISBN :
978-1-4244-5181-4
Electronic_ISBN :
978-1-4244-5182-1
Type :
conf
DOI :
10.1109/CCDC.2010.5498425
Filename :
5498425
Link To Document :
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