Cluster-based routing using fuzzy and bee colony optimisation in mobile wireless sensor networks

Q4 Business, Management and Accounting

International Journal of Mobile Network Design and Innovation Pub Date : 2017-08-16 DOI:10.1504/IJMNDI.2017.10006587

M. Sudha, J. Sundararajan

引用次数: 0

Abstract

In mobile wireless sensor networks, the existing routing technique results in increased energy consumption, time consumption, delay, increased mobility, and so on. Hence, in this paper, we propose a cluster-based routing using fuzzy and bee colony optimisation in mobile wireless sensor networks. In this technique, cluster heads are elected using artificial bee colony (ABC) algorithm based on the mobility factor. Then, timeslots are assigned to each cluster member using TDMA schedule. Moreover, an inter cluster routing scheme is developed for the cluster members to route the collected messages using fuzzy logic based on the number of hops, battery level, and mobility factor.

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移动无线传感器网络中基于模糊和蜂群优化的聚类路由

在移动无线传感器网络中，现有的路由技术导致了能量消耗、时间消耗、延迟、移动性增加等问题。因此，在本文中，我们提出了一种在移动无线传感器网络中使用模糊和蜂群优化的基于集群的路由。该方法采用基于迁移系数的人工蜂群算法进行簇头选举。然后，使用TDMA调度为每个集群成员分配时隙。在此基础上，提出了一种基于跳数、电池电量和移动系数的模糊逻辑的集群间消息路由方案。

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

International Journal of Mobile Network Design and Innovation Business, Management and Accounting-Management Information Systems

CiteScore

0.30

自引率

0.00%

发文量

期刊介绍： The IJMNDI addresses the state-of-the-art in computerisation for the deployment and operation of current and future wireless networks. Following the trend in many other engineering disciplines, intelligent and automatic computer software has become the critical factor for obtaining high performance network solutions that meet the objectives of both the network subscriber and operator. Characteristically, high performance and innovative techniques are required to address computationally intensive radio engineering planning problems while providing optimised solutions and knowledge which will enhance the deployment and operation of expensive wireless resources.