DocumentCode :
2430062
Title :
An Energy-Efficient Waiting Caching Algorithm in Wireless Sensor Networks
Author :
Xu, Junfeng ; Li, Keqiu ; Shen, Yanming ; Liu, Jian
Author_Institution :
Dept. of Comput. Sci. & Eng., Dalian Univ. of Technol., Dalian
Volume :
1
fYear :
2008
fDate :
17-20 Dec. 2008
Firstpage :
323
Lastpage :
329
Abstract :
In a wide range of applications, such as detecting environmental hazards, monitoring remote terrain and even monitoring customer behavior, wireless sensor networks (WSNs) are playing an important role. Due to the limited energy in each node, a lot of attention has been paid on improving energy efficiency. In this paper, we first propose an energy-efficient waiting caching (EEWC) algorithm to improve the data-centric (DC) transport control protocol by cutting down traffic flow. Second, we deploy networked predictive controller (NPC) to shorten network delay. Thus, the energy consumption can be reduced accordingly. We also analyze the proposed algorithm. Finally, we conduct extensive simulation experiments to evaluate the performance of the proposed algorithm.
Keywords :
cache storage; predictive control; telecommunication congestion control; telecommunication traffic; transport protocols; wireless sensor networks; customer behavior monitoring; data-centric transport control protocol; energy consumption; energy-efficient waiting caching algorithm; environmental hazard detection; networked predictive controller; performance evaluation; remote terrain monitoring; traffic flow; wireless sensor networks; Communication system control; Communication system traffic control; Computerized monitoring; Energy consumption; Energy efficiency; Hazards; Integrated circuit technology; Remote monitoring; Traffic control; Wireless sensor networks; Caching; Data Aggregation; Networked Predictive Controller; Wireless Sensor Network;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Embedded and Ubiquitous Computing, 2008. EUC '08. IEEE/IFIP International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-0-7695-3492-3
Type :
conf
DOI :
10.1109/EUC.2008.39
Filename :
4756356
Link To Document :
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