基于多目标优化进化算法的无线传感器节点重新部署

2013 IEEE International Conference of IEEE Region 10 (TENCON 2013) Pub Date : 2013-10-01 DOI:10.1109/TENCON.2013.6719022

Rungrote Kuawattanaphan, Teerawat Kumrai, P. Champrasert

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引用次数: 11

摘要

本文提出将多目标优化进化算法应用于无线传感器节点重新部署过程中，以提高网络寿命和感知覆盖。多目标优化使用一组个体，每个个体代表一组无线传感器节点位置，并通过遗传操作对它们进行进化，以寻求最优的感知覆盖和网络寿命。并以数据传输成功率和总移动成本为约束条件。仿真结果表明，所提出的多目标优化进化算法优于现有的多目标优化进化算法。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Wireless sensor nodes redeployment using a multiobjective optimization evolutionary algorithm

This paper proposes to apply a multiobjective optimization evolutionary algorithm in wireless sensor node redeployment process to improve network lifetime and sensing coverage. The multiobjective optimization uses a population of individuals, each of which represents a set of wireless sensor node positions, and evolves them via the genetic operations for seeking optimal sensing coverage and network lifetime. The data transmission success rate and the total moving cost are also added as constraints. Simulation results show that the proposed multiobjective optimization evolutionary algorithm outperforms a well-known existing evolutionary algorithm for multiobjective optimization.

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来源期刊

2013 IEEE International Conference of IEEE Region 10 (TENCON 2013)

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