A Survey on Classical and Optimized Hierarchical Routing Protocols for IoT and WSN

Kirtidev Mohapatra, Rakesh Ku. Lenka, Surai Sharma
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引用次数: 2

Abstract

Static sensor network consisting of static sensor node with a fixed position of sink although served many purposes but still then it was not the best approach of deploying sensor nodes. Introduction of mobility in sensor networks helps in obtaining better energy consumption, increased coverage, uplifted the target tracking process and superior channel capacity. Beside several advantages of mobile sensor networks, it also possesses a challenge in order to build effective routing protocols. To facilitate mobility in wireless sensor networks, numerous routing protocols have been crafted. Based on their routing strategy, these routing protocols may be categorized as hierarchical based routing, flat-based routing, or location-based routing. In a mobile sensor network, the hierarchy-based routing approach has been found to outperform the other two procedures regarding power exhaustion, propagation delay, and cumulative network lifetime. This paper looks at some of the more traditional hierarchy-based routing protocols as well as some of the more advanced hierarchy-based routing protocols that have been developed in recent years. A comprehensive comparison is carried out on different routing protocols based on specific benchmarks like network delay, the lifetime of the network, scalability, fault-tolerance. Boon and bane of each routing protocols can be viewed in the comparison table. Finally, a quick summary followed with the conclusion and future direction ends the paper.
物联网和WSN的经典和优化分层路由协议综述
由固定汇聚位置的静态传感器节点组成的静态传感器网络虽然有许多用途,但仍然不是部署传感器节点的最佳方法。在传感器网络中引入移动性有助于获得更好的能源消耗,增加覆盖范围,提升目标跟踪过程和优越的信道容量。除了移动传感器网络的诸多优点外,如何建立有效的路由协议也是一个挑战。为了促进无线传感器网络的移动性,已经制定了许多路由协议。根据它们的路由策略,这些路由协议可以被分类为基于层次的路由、基于平面的路由或基于位置的路由。在移动传感器网络中,基于层次的路由方法在功耗、传播延迟和累积网络寿命方面优于其他两种方法。本文研究了一些比较传统的基于层次结构的路由协议,以及近年来发展起来的一些比较高级的基于层次结构的路由协议。基于网络延迟、网络生命周期、可扩展性、容错性等特定基准,对不同的路由协议进行了全面的比较。在比较表中可以看到每个路由协议的优点和缺点。最后,简要总结了全文的结论和未来发展方向。
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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