Performance analysis of on-demand routing protocol for MANET using EA3ACK algorithm

Q4 Business, Management and Accounting

International Journal of Mobile Network Design and Innovation Pub Date : 2017-08-16 DOI:10.1504/IJMNDI.2017.10006585

K. Thamizhmaran, M. Anitha, A. Nachiappan

引用次数: 6

Abstract

Mobile ad-hoc networks (MANETs) do not have a fixed infrastructure. Every single node in the MANET works as both receiver and transmitter. Each node directly communicates with the other when they are both within their communication range. All nodes work as routers and take path in discovery and maintenance of routes to other nodes in the network. In this paper, a new intrusion detection system, enhanced adaptive 3 acknowledgement (EA3ACK), using EAACK with hybrid cryptography is (MARS4) specially designed for MANET. In the hybrid cryptography a two key method namely MARS4 which is a combination of RSA and MAJE4 is employed to reduce the routing overhead. Network simulator (NS2) is used to implement and test the proposed system. The proposed hybrid cryptography provides secured transmission, further it reduces routing overhead, improves packet delivery ratio and throughput.

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基于EA3ACK算法的MANET按需路由协议性能分析

移动自组网(manet)没有固定的基础设施。MANET中的每个节点都是接收器和发射器。当两个节点都在其通信范围内时，每个节点直接与另一个节点通信。所有节点都充当路由器，在发现和维护到网络中其他节点的路由时承担路径。本文采用EA3ACK与混合密码技术相结合的方法，设计了一种针对MANET的新型入侵检测系统——增强自适应确认(EA3ACK)。在混合密码学中，为了减少路由开销，采用了RSA和MAJE4组合的双密钥方法MARS4。利用网络模拟器(NS2)来实现和测试所提出的系统。所提出的混合密码提供了安全的传输，进一步减少了路由开销，提高了分组传送率和吞吐量。

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.