Efficient Coherent Trust based Location Aware Clustering for Communication in Mobile Ad Hoc Networks

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Abstract

Mobile Ad Hoc Networks (MANETs) are the emerging technology for communication and it is used in maximum of the application hence it is noticed by the academic and industrial sectors. Due to the mobile nature of the nodes in MANETs it is complicated to transfer the ecological information. During communication in maximum of the cases link failures and high energy consumption occurred. In order to overcome this issues clustering techniques are introduced in earlier days which is the group of nodes into cluster and each cluster consists of a cluster head (CH) and the other nodes which are present in that coverage area is termed as cluster members (CM). Due to this method the energy efficiency of the network is increased but the current drawback is selection of effective CH. Improper CH selection reflects in ineffective communication. For that purpose in this paper Efficient Coherent Trust based Location Aware Clustering (ECTLAC) approach is proposed for the selection of CH in MANETs. The approach is sub divided into two sections. They are effective coherent trust calculation and location aware clustering. Through this process an effective CH is chosen the greatly increase the performance of MANETs. The simulation is performed in NS2 and the parameters which are calculated for the performance analysis are energy efficiency, energy consumption, packet delivery ratio, and end-to-end delay. The results are compared with the earlier approaches such as HAMBO and CAPIC. From the results it is understood that the proposed ECTLAC approach produce high energy efficiency and packet delivery ratio as well as lower energy consumption and end to end delay when compared with the earlier works.
移动Ad Hoc网络中基于高效一致信任的位置感知聚类通信
移动自组织网络(manet)是一种新兴的通信技术,它被广泛应用,因此受到学术界和工业界的关注。由于移动网络中节点的移动性,使得生态信息的传递变得复杂。在大多数情况下,通信过程中出现了链路故障和高能耗。为了克服这个问题,早期引入了聚类技术,即将一组节点组成集群,每个集群由一个簇头(CH)组成,而在该覆盖区域内存在的其他节点称为集群成员(CM)。这种方法提高了网络的能量效率,但目前的缺点是有效信道的选择,信道选择不当反映在通信效果不佳。为此,本文提出了一种基于高效相干信任的位置感知聚类(ECTLAC)方法,用于manet中CH的选择。该方法分为两个部分。它们是有效的相干信任计算和位置感知聚类。在此过程中选择有效的CH,大大提高了manet的性能。在NS2中进行仿真,计算的性能分析参数包括:能效、能耗、分组分发率和端到端时延。结果与早期的HAMBO和CAPIC方法进行了比较。结果表明,与早期的工作相比,所提出的eclac方法具有更高的能量效率和分组传输率,以及更低的能量消耗和端到端延迟。
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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