By Topic

A Dynamic Load Balancing Routing Algorithm for Distributed Wireless Sensor Networks

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Ying Su ; Dept. of Comput. Sci., Huazhong Normal Univ., Wuhan ; Shijue Zheng ; Shanthi Gamage ; Kai Li

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.

Published in:

Wireless Communications, Networking and Mobile Computing, 2007. WiCom 2007. International Conference on

Date of Conference:

21-25 Sept. 2007