DocumentCode :
3497372
Title :
A Dynamic Load Balancing Routing Algorithm for Distributed Wireless Sensor Networks
Author :
Su, Ying ; Zheng, Shijue ; Gamage, Shanthi ; Li, Kai
Author_Institution :
Dept. of Comput. Sci., Huazhong Normal Univ., Wuhan
fYear :
2007
fDate :
21-25 Sept. 2007
Firstpage :
2625
Lastpage :
2628
Abstract :
In wireless sensor networks where nodes operate on limited battery energy, some other unique characteristics make these nodes impossible to be replaced or recharged, so the efficient utilization of the energy is very important. There are many papers proposed in order to reduce energy consumption, but at the same time another problem emerged, i.e., for each node with limited energy the cumulative load of data traffic from its neighbor nodes will become heavier and the energy of such nodes will deplete more quickly than before. So we have formulated the routing problem as maximizing the network lifetime. Firstly we split these nodes into to some domains, and then we balance load among each domain dynamic. Considering this we describe a dynamic load balancing routing algorithm based on each node´s energy, through which we trying to maximize the lifetime of each node as well as the whole lifespan of the sensor networks. Through our models and algorithms, the simulation results showed our algorithms are more dynamic and mobility efficient, nodes can change their domains if necessary.
Keywords :
resource allocation; telecommunication network routing; telecommunication traffic; wireless sensor networks; distributed wireless sensor network traffic; dynamic load balancing routing algorithm; energy utilization; network lifetime maximization; Bandwidth; Batteries; Computer science; Energy consumption; Heuristic algorithms; Load management; Routing; Sensor phenomena and characterization; Telecommunication traffic; Wireless sensor networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wireless Communications, Networking and Mobile Computing, 2007. WiCom 2007. International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-1311-9
Type :
conf
DOI :
10.1109/WICOM.2007.653
Filename :
4340428
Link To Document :
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