Multi-objective mobile agent routing in wireless sensor networks

Ramesh Rajagopalan, Chilukuri K. Mohan, Pramod Varshney, Kishan Mehrotra

Research output: Chapter in Book/Report/Conference proceedingConference contribution

52 Scopus citations

Abstract

A recent approach for data fusion in wireless sensor networks involves the use of mobile agents that selectively visit the sensors and incrementally fuse the data, thereby eliminating the unnecessary transmission of irrelevant or non-critical data. The order of sensors visited along the route determines the quality of the fused data and the communication cost. We model the mobile agent routing problem as a multi-objective optimization problem, maximizing the total detected signal energy while minimizing the energy consumption and path loss. Simulation results show that this problem can be solved successfully using evolutionary multi-objective algorithms such as EMOCA and NSGA-II. This approach also enables choosing between two alternative routing algorithms, to determine which one results in higher detection accuracy.

Original languageEnglish (US)
Title of host publication2005 IEEE Congress on Evolutionary Computation, IEEE CEC 2005. Proceedings
Pages1730-1737
Number of pages8
StatePublished - Oct 31 2005
Event2005 IEEE Congress on Evolutionary Computation, IEEE CEC 2005 - Edinburgh, Scotland, United Kingdom
Duration: Sep 2 2005Sep 5 2005

Publication series

Name2005 IEEE Congress on Evolutionary Computation, IEEE CEC 2005. Proceedings
Volume2

Other

Other2005 IEEE Congress on Evolutionary Computation, IEEE CEC 2005
CountryUnited Kingdom
CityEdinburgh, Scotland
Period9/2/059/5/05

ASJC Scopus subject areas

  • Engineering(all)

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  • Cite this

    Rajagopalan, R., Mohan, C. K., Varshney, P., & Mehrotra, K. (2005). Multi-objective mobile agent routing in wireless sensor networks. In 2005 IEEE Congress on Evolutionary Computation, IEEE CEC 2005. Proceedings (pp. 1730-1737). (2005 IEEE Congress on Evolutionary Computation, IEEE CEC 2005. Proceedings; Vol. 2).