基于模糊规则的多准则决策分析辅助无线传感器网络路由

S. Bhunia, Bijoy Das, N. Mukherjee
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引用次数: 9

摘要

无线传感器网络是一种自组织的无线网络系统,可以实现节点的密集部署。这些无线传感器收集并转发数据。但在节点之间进行数据传输时,寻找有效的路由是一个挑战。本文提出了一种路由算法FMCR。该方案采用了著名的运筹学技术——多准则决策分析。这里考虑了多个标准,如剩余能量、分组传输频率和跳数。在节点密度、死节点和时延等启发式属性上应用模糊规则,为每个准则分配加权值。利用加权产品模型(WPM)选择最佳路线。该方案使用TinyOS实现,TinyOS是一种为无线传感器网络设计的事件驱动操作系统。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Multi Criteria Decision Analysis assisted Routing in Wireless Sensor Network using Fuzzy rules
Wireless sensor network is a self-organizing wireless network system which has enabled densely deployment of nodes. These wireless sensors gather and forward data. But finding an efficient route is a challenge while the nodes communicate for data transmission. A routing algorithm, FMCR, is proposed in this paper. A well-known operations research technique, multi-criteria decision analysis, is used in this proposed scheme. Here multiple criteria, such as residual energy, packet transmission frequency and hop count are taken into account. In order to assign the weighted values on each criterion, Fuzzy rules are applied on heuristic properties like node density, dead nodes and delay. The best route is selected using Weighted Product Model (WPM). This scheme has been implemented using TinyOS, an event-driven operating system designed for wireless sensor network.
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