MAHEE:无线传感器网络的多跳超前异构感知节能路径规划算法

Naeem Ayoub, Muhammad Asad, M. Aslam, Zhen-guo Gao, E. Munir, R. Tobji
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引用次数: 13

摘要

设计和实际执行高能效路由协议一直是无线传感器网络(WSN)研究人员关注的主要问题。在过去的十年中,人们设计了各种高能效集群路由协议来解决这一问题。集群基地路径规划技术在同构和异构 WSN 中都得到了广泛应用。现有的技术都是基于直接通信,这会消耗更多能量,并在基站(BS)附近形成热点。节点间的相互通信能更好地减少热点问题。为此,我们为 WSNs 提出了多跳超前异构感知高能效(MAHEE)聚类路径规划算法。在所提出的算法中,使用了提前簇头(CH)选择算法,其中能量较高的节点将被选为 CH。此外,在提前选择 CH 的帮助下,簇间多跳路由可以提高网络的稳定性和寿命。仿真结果证明,与现有的路由协议相比,我们提出的多跳技术具有更好的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
MAHEE: Multi-hop advance heterogeneity-aware energy efficient path planning algorithm for wireless sensor networks
Designing and practical implementation of energy efficient routing protocol is always a major concern for researchers in Wireless Sensor Networks (WSNs). In the past decade various energy efficient clustering routing protocols are designed to overcome this issue. Clustered base path planning technique is widely used in both homogeneous and heterogeneous WSNs. Existing techniques are based on direct communication which consume more energy and create hot-spot near Base Station (BS). Inter-communication between nodes can play a better role in order to minimize the hot-spot issue. In this regard we propose Multi-Hop Advance Heterogeneity-aware Energy Efficient (MAHEE) clustering path planning algorithm for WSNs. In the proposed algorithm, advance Cluster Head (CH) selection algorithm is used in which nodes have higher energy will be chosen as CH. Moreover inter-cluster multi-hop routing with the help of advance CH selection can enhance the network stability and lifetime. Simulation results verify our proposed multi-hop technique give better performance over existing state of the art routing protocols.
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