Efficient fuzzy ant colony-based multipath QoS aware routing protocol in mobile ad hoc network

Q4 Business, Management and Accounting

International Journal of Mobile Network Design and Innovation Pub Date : 2018-10-04 DOI:10.1504/IJMNDI.2018.10012970

Gurpreet Singh Chhabra, Gurudutta Verma, P. S. Patheja

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引用次数: 2

Abstract

A mobile ad hoc network is a collection of mobile nodes with the versatile environment. Since the node varies at each time it is difficult to design the routing protocol in terms of qualities such as energy efficient, routing overhead, bandwidth capabilities and so on. Various researches has been undertaken to make a reliable routing protocol for proper communication. On considering this, we designed a routing protocol based on the fuzzy and ant colony algorithm for a multipath network. In this, fuzzy is used to determine the node qualities with the node value based on energy, nodes signal strength and mobility. Then the ant colony optimisation helps to reach the destination shortly from the multiple paths with the distance from source to destination and the node value from fuzzy. On combining these two methods the routing protocol was proposed and it compared with the existing MMQARP routing protocol. The simulation result shows that the proposed method gives high performance efficiency in transferring the data from source to destination with the high packet delivery ratio, less delay and high jitter.

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移动自组网中基于模糊蚁群的高效多路径QoS感知路由协议

移动自组织网络是具有通用环境的移动节点的集合。由于节点每次都在变化，因此很难从能效、路由开销、带宽能力等方面设计路由协议。已经进行了各种研究，以制定可靠的路由协议以进行适当的通信。考虑到这一点，我们设计了一种基于模糊蚁群算法的多路径网络路由协议。其中，利用基于能量、节点信号强度和迁移率的节点值来确定节点质量。然后利用蚁群优化算法，使从源到目的地的距离和节点值模糊的多条路径在短时间内到达目的地。结合这两种方法提出了路由协议，并与现有的MMQARP路由协议进行了比较。仿真结果表明，该方法具有较高的数据包传输率、较小的延迟和较高的抖动等优点，具有较高的传输效率。

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.