Genetic algorithm for mobile agent routing in distributed sensor networks

Qishi Wu, S. S. Iyengar, Nageswara S.V. Rao

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

A distributed sensor network (DSN) consists of intelligent sensors that are geographically dispersed in a region of interest and interconnected via a communication network. The sensed data of different types (such as acoustic, seismic, and infrared, etc.) are preprocessed by sensor nodes and then transmitted over the network to participate in the data integration at processing elements, based on which appropriate inferences can be derived about the environment for certain purposes. The study of information fusion methods has been the research focus since the early stage of DSN development [3-5]. Recent advances in sensor technologies make it possible to deploy a large number of inexpensive and small sensors to “achieve quality through quantity” in very complex scenarios, which necessitates applying new computing techniques such as genetic algorithms (GAs) to meet some theoretical and methodological challenges. This chapter provides a general introduction to GAs and their application to the mobile agent routing problem in a DSN with a special networking paradigm.

Original languageEnglish (US)
Title of host publicationDistributed Sensor Networks
PublisherCRC Press
Pages505-526
Number of pages22
ISBN (Electronic)9781439870785
ISBN (Print)1584883839, 9781584883838
StatePublished - Jan 1 2004
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Computer Science(all)
  • Engineering(all)

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