QoS aware multicasting using the enhanced differential evolution cuckoo search routing protocol in MANET

Q4 Business, Management and Accounting
M. Vijayalakshmi, D. Rao
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引用次数: 2

Abstract

Mobile ad hoc network contains small infrastructure and easy communication by the aid of self configuring network. The multicasting is one of the significant elements which are used to convey the similar data from one basis to numerous targets. So, it encompasses a variety of troubles whereas conveying data such as node failure, delay, high energy utilisation, and so on. Therefore, we proposed an enhanced differential evolution cuckoo search routing protocol (EDE-CS) to construct the consistent communication in multicasting. This multicasting network is the mixture of two optimisation algorithms such as differential evolution and cuckoo search optimisation algorithm. The clustering is involved in our method for reliable transmission of packet using differential evolution algorithm and the cuckoo search found the best route path on transmitting the messages efficiently. The NS2 is a simulation tool which gives the consequence of our proposed method by comparing with the existing protocol. Therefore, it obviously illustrates that the proposed protocol of EDE-CS gives more effectiveness when compared with other existing protocols.
基于差分进化布谷鸟搜索路由协议的无线局域网QoS感知多播
移动自组网通过自配置网络,具有基础设施小、通信方便等特点。组播是将相似的数据从一个基传递到多个目标的重要手段之一。因此,在传输数据时,它包含了各种各样的问题,如节点故障、延迟、高能量利用率等。为此,我们提出了一种增强型差分进化布谷鸟搜索路由协议(EDE-CS)来构建组播中的一致性通信。这种多播网络混合了差分进化和布谷鸟搜索两种优化算法。采用差分进化算法将聚类引入到数据包的可靠传输中,并利用布谷鸟搜索算法寻找有效传输报文的最佳路径。NS2是一个仿真工具,通过与现有协议的比较,给出了我们提出的方法的结果。由此可见,本文提出的EDE-CS协议与其他现有协议相比具有更高的有效性。
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来源期刊
International Journal of Mobile Network Design and Innovation
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
0
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.
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