Title :
A Traffic-Aware Energy Efficient Routing Protocol for Wireless Sensor Networks
Author :
Liu, Jun ; Hong, Xiaoyan
Author_Institution :
Alabama Univ., Tuscaloosa
Abstract :
This paper introduces an online load balanced energy-aware routing protocol for large-scale wireless sensor networks. The protocol designed, namely traffic-aware energy efficient (TAEE) routing protocol, exploits traffic load information in addition to power residue levels to optimize the load distribution of the entire sensor network, and thus accomplish longer network lifetime. An algorithm for adaptively computing the best parameter for TAEE is also described. Furthermore, to better accommodate larger-scale wireless sensor networks, our TAEE protocol can be adapted to include a random grouping scheme which implements hierarchical routing to reduce computation and routing overhead and to maintain energy efficiency. Our simulation shows that the TAEE protocol generates better performance in terms of network lifetime compared with the leading power-aware Max-min zPmin protocol.
Keywords :
routing protocols; telecommunication traffic; wireless sensor networks; hierarchical routing; online load balanced energy-aware routing protocol; traffic-aware energy efficient; wireless sensor networks; Computational modeling; Computer networks; Design optimization; Energy efficiency; Large-scale systems; Power generation; Routing protocols; Telecommunication traffic; Wireless application protocol; Wireless sensor networks;
Conference_Titel :
Computer Architecture for Machine Perception and Sensing, 2006. CAMP 2006. International Workshop on
Conference_Location :
Montreal, Que.
Print_ISBN :
978-1-4244-0685-2
Electronic_ISBN :
978-1-4244-0686-9
DOI :
10.1109/CAMP.2007.4350370