Node Credit Based Efficient Flooding (NCBEF) Method for Mobile Ad-hoc Networks

Q2 Engineering
Hemant Kumar Gianey, T. Choudhury, Ahmed A. Elngar
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引用次数: 1

Abstract

Effective routing is one important research issue for mobile ad-hoc network where gadgets have confined resources. Due to non-foreseeing network topology, frequent link failure occurred that drives route break, partitions and high routing overhead issue. These issues result superfluous resource wastage and diminish network life. Existing reactive routing algorithm helps nodes to discover route via broadcast of route request to all these reachable nodes. Receiving node of route request further forward to all its neighbours’ nodes that lead flooding. Here broadcasting of route request results several issues such as wastage of resources, congestions, redundancy of route request and broadcast storm problem. Though to maximize resource utilization and minimize broadcast storm problem, efficient broadcast method in routing algorithm is required. Numerous contributions have done towards efficient broadcasting which concentrate different aspects. In this paper, NCBEF method is presented that motive was to do efficient flooding. NCBEF method enables node to broadcast route request to some neighbours instead of all. To do this, NCBEF method, determine high creditable neighbours during hello signal transmission. Few hypotheses were formulated to evaluate and test NCBEF method. Hypotheses were evaluated by simulation of NCBEF method in network simulator software on the basis of certain criteria.
移动自组网中基于节点信用的高效泛洪(NCBEF)方法
在设备资源有限的移动自组网中,有效路由是一个重要的研究课题。由于网络拓扑结构不可预见,导致链路故障频繁,导致路由中断、分区和路由开销高的问题。这些问题造成了多余的资源浪费,降低了网络寿命。现有的响应式路由算法通过向所有可达节点广播路由请求来帮助节点发现路由。接收路由请求的节点进一步转发到所有导致泛洪的相邻节点。在这种情况下,路由请求的广播产生了资源浪费、拥塞、路由请求冗余和广播风暴等问题。为了最大限度地提高资源利用率,减少广播风暴问题,路由算法中需要有效的广播方法。人们对集中不同方面的高效广播作出了许多贡献。提出了以高效驱油为目的的NCBEF方法。NCBEF方法允许节点向部分邻居广播路由请求,而不是向所有邻居广播。为此,NCBEF方法在hello信号传输期间确定高可信度邻居。对NCBEF方法进行评价和检验的假设较少。基于一定的准则,在网络模拟器软件中对NCBEF方法进行了仿真,对假设进行了评估。
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
CiteScore
4.00
自引率
0.00%
发文量
15
审稿时长
10 weeks
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