Dynamic optimization of secure mobile sensor networks: A genetic algorithm

Rahul Khanna, Huaping Liu, Hsiao-Hwa Chen

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

15 Citations (Scopus)

Abstract

We propose a reduced-complexity genetic algorithm for secure and dynamic deployment of resource constrained multi-hop mobile sensor networks. Mobility and security are relatively expensive operations since they involve both communication and computation. Furthermore, these operations have to co-exist with optimal node and route assignments. The goal of this paper is to achieve optimal secure coverage and improved battery life using dynamic re-locatability. The genetic algorithm is used to adaptively configure optimal position and security attributes by dynamically monitoring network traffic, packet integrity, and battery usage. This results in minimization of the power consumption of the sensor system while maximizing the sensor objectives (coverage and exposure).

Original languageEnglish
Title of host publication2007 IEEE International Conference on Communications, ICC'07
Pages3413-3418
Number of pages6
DOIs
Publication statusPublished - 2007 Dec 1
Event2007 IEEE International Conference on Communications, ICC'07 - Glasgow, Scotland, United Kingdom
Duration: 2007 Jun 242007 Jun 28

Publication series

NameIEEE International Conference on Communications
ISSN (Print)0536-1486

Other

Other2007 IEEE International Conference on Communications, ICC'07
CountryUnited Kingdom
CityGlasgow, Scotland
Period07-06-2407-06-28

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Electrical and Electronic Engineering

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