首页> 外文会议>International conference on internet and distributed computing systems >EMCR: Routing in WSN Using Multi Criteria Decision Analysis and Entropy Weights
【24h】

EMCR: Routing in WSN Using Multi Criteria Decision Analysis and Entropy Weights

机译:EMCR:使用多准则决策分析和熵权的WSN中的路由

获取原文

摘要

Nowadays wireless sensor networks (WSN) are widely used in diffrent applications. In any network (traditional network or WSNs), route finding is the key support for network transmission technology. In WSN, efficient routing algorithm is very important. But the realization of efficient algorithm is not so easy because of many routing parameters of the network and resource constrained nature of the sensor nodes. This paper proposes an efficient and multi-hoping routing algorithm which is able to choose an efficient route between available routes while considering multiple important criteria for taking routing decisions and at the same time providing balance in energy consumption across all the sensor nodes. This proposed scheme is based on multi-criteria decision analysis, where multiple criteria, such as residual energy, frequency (number of packets received) and hop count are taken into account. Entropy weight method is used to assign the weighted values on each criterion. The best alternative route is selected using Weighted Product Model (WPM). The scheme has been implemented using TinyOS, an event-driven operating system designed for wireless sensor network.
机译:如今,无线传感器网络(WSN)广泛用于不同的应用程序中。在任何网络(传统网络或WSN)中,路由查找是网络传输技术的关键支持。在WSN中,高效的路由算法非常重要。但是,由于网络的许多路由参数以及传感器节点的资源受限性质,有效算法的实现并非易事。本文提出了一种高效且多跳的路由算法,该算法能够在可用路由之间选择一条有效的路由,同时考虑多个重要标准以做出路由决策,同时在所有传感器节点上实现能量消耗的平衡。该提议的方案基于多准则决策分析,其中考虑了多个准则,例如剩余能量,频率(接收到的数据包数量)和跳数。熵权法用于在每个准则上分配加权值。使用加权产品模型(WPM)选择最佳替代路线。该方案已使用TinyOS实施,TinyOS是为无线传感器网络设计的事件驱动的操作系统。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号