Bio-inspired routing protocol for wireless sensor network to minimise the energy consumption

IF 1.5 Q3 TELECOMMUNICATIONS

IET Wireless Sensor Systems Pub Date : 2020-10-01 DOI:10.1049/iet-wss.2019.0198

Padmalaya Nayak, Ch Praneeth Reddy

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引用次数: 7

Abstract

The minimisation of energy consumption has become an emerging topic in wireless sensor networks (WSNs) as these networks enable a wealth of new applications. The internet of things (IoT) application is one of them and the current hype around the IoT is huge. Therefore, the development of efficient communication protocols for WSNs is a major concern. In this context, various research communities have triggered several optimisation techniques to provide energy-efficient solutions to WSNs. This study aims to apply the genetic algorithm (GA) in WSNs clustering and to evaluate its performance over another optimisation technique. The proposed protocol is analytically analysed and compared with a fuzzy logic (FL)-based routing protocol and traditional routing protocol like LEACH and K-means using a Java-based custom simulator. Simulation results show that there is a trade-off between GA-clustering and FL-clustering, but the overall performance of GA-clustering is very promising for obtaining optimal energy consumption.

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生物启发路由协议的无线传感器网络，以尽量减少能源消耗

在无线传感器网络(wsn)中，能源消耗最小化已经成为一个新兴的话题，因为这些网络可以实现丰富的新应用。物联网(IoT)应用就是其中之一，目前围绕物联网的炒作是巨大的。因此，开发有效的无线传感器网络通信协议是一个重要的问题。在这种背景下，各种研究团体已经触发了几种优化技术，为无线传感器网络提供节能解决方案。本研究旨在将遗传算法(GA)应用于WSNs聚类，并评估其与其他优化技术的性能。利用基于java的自定义模拟器，对所提出的协议进行了分析分析，并与基于模糊逻辑(FL)的路由协议以及传统的路由协议LEACH和K-means进行了比较。仿真结果表明，ga -聚类和fl -聚类之间存在权衡，但ga -聚类的总体性能对于获得最优的能耗是非常有希望的。

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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来源期刊

IET Wireless Sensor Systems TELECOMMUNICATIONS-

CiteScore

4.90

自引率

5.30%

发文量

审稿时长

33 weeks

期刊介绍： IET Wireless Sensor Systems is aimed at the growing field of wireless sensor networks and distributed systems, which has been expanding rapidly in recent years and is evolving into a multi-billion dollar industry. The Journal has been launched to give a platform to researchers and academics in the field and is intended to cover the research, engineering, technological developments, innovative deployment of distributed sensor and actuator systems. Topics covered include, but are not limited to theoretical developments of: Innovative Architectures for Smart Sensors;Nano Sensors and Actuators Unstructured Networking; Cooperative and Clustering Distributed Sensors; Data Fusion for Distributed Sensors; Distributed Intelligence in Distributed Sensors; Energy Harvesting for and Lifetime of Smart Sensors and Actuators; Cross-Layer Design and Layer Optimisation in Distributed Sensors; Security, Trust and Dependability of Distributed Sensors. The Journal also covers; Innovative Services and Applications for: Monitoring: Health, Traffic, Weather and Toxins; Surveillance: Target Tracking and Localization; Observation: Global Resources and Geological Activities (Earth, Forest, Mines, Underwater); Industrial Applications of Distributed Sensors in Green and Agile Manufacturing; Sensor and RFID Applications of the Internet-of-Things ("IoT"); Smart Metering; Machine-to-Machine Communications.

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