Prediction approaches for improving energy efficiency of virtual force algorithms to the mobile sensor deployment problem

Authors:
Ren-Song Ko;Chun-Mu Chen
Affiliations:
National Chung Cheng University, Chia-Yi, Taiwan Roc;National Chung Cheng University, Chia-Yi, Taiwan Roc
Venue:
Proceedings of the 5th ACM international workshop on Mobility management and wireless access
Year:
2007

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Abstract

This paper considers the virtual force algorithms (VFAs) for addressing the deployment problem of mobile sensor networks. Via a sequence of iterations, each node will be lead to its destination by the virtual forces exerted on itself. However, a node consumes energy on its movement which is usually larger than other activities of its sensing application. Thus, we present prediction approaches to improve energy efficiency of VFAs. Our simulation resultsshow that the prediction approaches can reduce the number of stop-and-go movements and the total moving distance. Hence, the energy consumption on the deployment can be reduced.