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基于生物启发式进化算法改善无线传感器网络中的网络覆盖

Bioinspired evolutionary algorithm based for improving network coverage in wireless sensor networks.

作者信息

Abbasi Mohammadjavad, Bin Abd Latiff Muhammad Shafie, Chizari Hassan

机构信息

Universiti Technologi Malaysia, Malaysia.

出版信息

ScientificWorldJournal. 2014 Feb 12;2014:839486. doi: 10.1155/2014/839486. eCollection 2014.

Abstract

Wireless sensor networks (WSNs) include sensor nodes in which each node is able to monitor the physical area and send collected information to the base station for further analysis. The important key of WSNs is detection and coverage of target area which is provided by random deployment. This paper reviews and addresses various area detection and coverage problems in sensor network. This paper organizes many scenarios for applying sensor node movement for improving network coverage based on bioinspired evolutionary algorithm and explains the concern and objective of controlling sensor node coverage. We discuss area coverage and target detection model by evolutionary algorithm.

摘要

无线传感器网络(WSN)包含传感器节点,其中每个节点都能够监测物理区域,并将收集到的信息发送到基站进行进一步分析。无线传感器网络的关键在于通过随机部署实现目标区域的检测和覆盖。本文回顾并探讨了传感器网络中各种区域检测和覆盖问题。本文基于仿生进化算法组织了许多应用传感器节点移动来提高网络覆盖的场景,并解释了控制传感器节点覆盖的关注点和目标。我们通过进化算法讨论区域覆盖和目标检测模型。

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