Cross-Layer based rate control for lifetime maximization in wireless sensor networks

Authors:
Xiaoyan Yin;Xingshe Zhou;Zhigang Li;Shining Li
Affiliations:
College of Computer, Northwestern Polytechnical University, Xi'an, China;College of Computer, Northwestern Polytechnical University, Xi'an, China;College of Computer, Northwestern Polytechnical University, Xi'an, China;College of Computer, Northwestern Polytechnical University, Xi'an, China
Venue:
GPC'10 Proceedings of the 5th international conference on Advances in Grid and Pervasive Computing
Year:
2010

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Abstract

In wireless sensor networks (WSNs), lifetime maximization is a critical issue because of the restricted power supply Therefore, the objective of lifetime maximization is to save energy for each sensor node However, the application performance depends strongly on the amount of data gathered from each source node in the network Higher data rates causes greater sensing and communication costs resulting in a reduction of the overall network lifetime There is thus an inherent trade-off in maximizing the network lifetime and the application performance In this paper, we take both application performance and lifetime maximization into account, use a cross layer optimization framework and propose a distributed rate control algorithm Our numerical result shows that our scheme can maximize the network lifetime and guarantee the application performance.