Lifetime aware resource management for sensor network using distributed genetic algorithm

Qiu Qinru, Wu Qing, Daniel Burns, Douglas Holzhauer

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

14 Scopus citations

Abstract

In this work we consider lifetime-aware resource management for sensor network using distributed genetic algorithm (GA). Our goal is to allocate different detection methods to different sensor nodes in the way such that the required detection probability can be achieved while the network lifetime is maximized. The contribution of this paper is twofold. Firstly, the resource management problem is formulated as a constraint optimization problem and is solved using a distributed GA. Secondly, empirical analysis results are provided that reveals the relationship between the configuration parameters and the quality of the search. A regression model is designed to estimate the runtime of the distributed GA given the configuration parameters. The model is utilized to find energy efficient configurations of the algorithm.

Original languageEnglish (US)
Title of host publicationISLPED'06 - Proceedings of the 2006 International Symposium on Low Power Electronics and Design
Pages191-196
Number of pages6
DOIs
StatePublished - Dec 1 2006
Externally publishedYes
EventISLPED'06 - 11th ACM/IEEE International Symposium on Low Power Electronics and Design - Tegernsee, Bavaria, Germany
Duration: Oct 4 2006Oct 6 2006

Publication series

NameProceedings of the International Symposium on Low Power Electronics and Design
Volume2006
ISSN (Print)1533-4678

Other

OtherISLPED'06 - 11th ACM/IEEE International Symposium on Low Power Electronics and Design
CountryGermany
CityTegernsee, Bavaria
Period10/4/0610/6/06

Keywords

  • Distributed genetic algorithm
  • Energy aware design
  • Resource management
  • Sensor network

ASJC Scopus subject areas

  • Engineering(all)

Fingerprint Dive into the research topics of 'Lifetime aware resource management for sensor network using distributed genetic algorithm'. Together they form a unique fingerprint.

  • Cite this

    Qinru, Q., Qing, W., Burns, D., & Holzhauer, D. (2006). Lifetime aware resource management for sensor network using distributed genetic algorithm. In ISLPED'06 - Proceedings of the 2006 International Symposium on Low Power Electronics and Design (pp. 191-196). (Proceedings of the International Symposium on Low Power Electronics and Design; Vol. 2006). https://doi.org/10.1145/1165573.1165618