Efficient load aware evolutionary routing protocol in hybrid wireless network using MOEAD/D

Q4 Business, Management and Accounting

International Journal of Mobile Network Design and Innovation Pub Date : 2018-10-04 DOI:10.1504/IJMNDI.2018.10015845

A. Kumar, S. Mohideen

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引用次数: 4

Abstract

The hybrid wireless network has developed as a promising solution, enabling mobile customers to accomplish higher execution and access service in a consistent way free of their reality in the range of wireless local area network (WLAN). In this paper, we have proposed the load aware routing protocol for the hybrid wireless network. Hybrid networks were having the combination of several networks such as MANET and VANET. In the hybrid network generally, the data transmission is very high and hence, it is necessary to create a reliable routing protocol for avoiding delay and to increase packet delivery ratio. Thus, we have implemented the optimal algorithm of MOEAD/D, i.e., a multi objective evolutionary algorithm based on decomposition combined with Djikstra. Here the MOEAD is used to find the best router for transmitting the data packets and the Djikstra algorithm is used to find the shortest path for the router. Thus, this combination of MOEAD and Djikstra has yielded a reliable load aware routing protocol. The simulation result shows that the performance of our proposed routing protocol is better than the existing protocol.

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基于MOEAD/D的混合无线网络中高效负载感知进化路由协议

混合无线网络是一种很有前途的解决方案，它使移动用户能够在无线局域网(WLAN)范围内以一致的方式完成更高的执行和访问业务。本文提出了一种适用于混合无线网络的负载感知路由协议。混合网络是几个网络的组合，如MANET和VANET。在混合网络中，数据传输通常非常高，因此有必要创建可靠的路由协议，以避免延迟和提高分组传输率。因此，我们实现了MOEAD/D的最优算法，即基于分解与Djikstra相结合的多目标进化算法。在这里，MOEAD用于寻找传输数据包的最佳路由器，而Djikstra算法用于寻找路由器的最短路径。因此，MOEAD和Djikstra的这种组合产生了可靠的负载感知路由协议。仿真结果表明，所提出的路由协议的性能优于现有的路由协议。

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.