基于SOMA进化算法的能量约束网络中继节点配置

Artificial intelligence and applications (Commerce, Calif.) Pub Date : 2006-02-13 DOI:10.5555/1166890.1166897

M. Cervenka, I. Zelinka

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引用次数: 4

摘要

本文研究了从能量受限的传感器节点无线多跳网络向公共基站收集数据的问题。为了延长网络的寿命，在传感器节点之间设置一定数量的通信节点，以中继采集到的数据。本工作的主要贡献在于采用一种进化算法来确定随机放置的传感器节点网络中中继节点的最佳位置。

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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Relay Node Placement in Energy-Constrained Networks using SOMA Evolutionary Algorithm

This paper concerns with the problem of gathering data from a wireless multi-hop network of energy-constrained sensor nodes to a common base station. To extend lifetime of this network, a certain number of communication nodes are placed among the sensor nodes to relay the acquired data. The main contribution of this work lies in employment of an evolutionary algorithm to determine the best positions of relay nodes in network of randomly placed sensor nodes.

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Artificial intelligence and applications (Commerce, Calif.)

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