Routing in Wireless Sensor Networks using Fuzzy Logic: A survey

Melhaoui Maryem, El Ougli Abdelghani, Tidhaf Belkassem
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引用次数: 1

Abstract

A wireless sensor network (WSN) is a large set of distributed sensor nodes intended to sense physical surrounding data and transmit it to a base station (BS). These sensors are supposed to collect, aggregate, analyze and communicate physical data that will be transformed into profitable information.WSNs are usually implemented in critical areas and sensor nodes are non-rechargeable. Therefore, they present limitations in terms of power supplies, which brings about numerous challenges related to the optimization of the energy consumption.Since an important amount of sensors energy is consumed by the transmission unit, it is pivotal to better how data is transmitted among the network. In connection with this point, optimizing routing protocols in WSNs becomes a prerequisite axe of interest for the sake of enhancing the energy conservation and consequently expending the network lifetime.In this regard, this paper describes firstly a classical the most famous clustering based routing protocol, then discuss its improvements that use intelligent algorithms. Subsequently, the article depicts many different fuzzy logic based routing protocols and exhibits summarily their advantages and limitations.
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基于模糊逻辑的无线传感器网络路由研究进展
无线传感器网络(WSN)是一组用于感知周围物理数据并将其传输到基站(BS)的大型分布式传感器节点。这些传感器应该收集、汇总、分析和交流物理数据,这些数据将转化为有利可图的信息。无线传感器网络通常部署在关键区域,传感器节点是不可充电的。因此,它们在电源方面存在局限性,这带来了许多与能源消耗优化相关的挑战。由于传输单元消耗了大量的传感器能量,因此如何更好地在网络中传输数据至关重要。因此,优化无线传感器网络中的路由协议是提高网络节能和延长网络生命周期的前提。在这方面,本文首先介绍了一种经典的最著名的基于聚类的路由协议,然后讨论了使用智能算法对其进行改进。随后,本文描述了许多不同的基于模糊逻辑的路由协议,并总结了它们的优点和局限性。
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