A multi-objective optimization framework for cluster-based wireless sensor networks

Chi Tsun Cheng, Henry Leung

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

10 Citations (Scopus)

Abstract

Wireless sensor nodes are battery-powered communication devices. Their limited capabilities have imposed various constraints to the system design of wireless sensor networks (WSNs). These constraints are interrelated, and are usually in conflict with each other. Clustering is often used to reduce energy consumption in WSNs. However, an arbitrary selection of clustering parameters may lead to severe degradation in other aspects, such as extra delays in data collection processes (DCPs). In this paper, a multi-objective optimization (MOO) framework for cluster-based WSNs is proposed. The proposed framework considers both the energy consumption and the duration of a DCP as its objective functions. Simulation results show that networks optimized using the proposed framework can obtain reasonable trade-offs between the two objectives. Nevertheless, the networks optimized using the proposed framework can obtain non-dominated solutions that cannot be achieved by using energy-aware clustering algorithms.
Original languageEnglish
Title of host publicationProceedings of the 2012 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, CyberC 2012
Pages341-347
Number of pages7
DOIs
Publication statusPublished - 1 Dec 2012
Event4th International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, CyberC 2012 - Sanya, China
Duration: 10 Oct 201212 Oct 2012

Conference

Conference4th International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, CyberC 2012
Country/TerritoryChina
CitySanya
Period10/10/1212/10/12

Keywords

  • Clustering
  • Multi-objective Optimization
  • Non-dominated Solutions
  • Wireless Sensor Networks

ASJC Scopus subject areas

  • Software

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