Get 20M+ Full-Text Papers For Less Than $1.50/day. Start a 14-Day Trial for You or Your Team.

Learn More →

A Reliable Data Transmission in EAACK MANETs Using Hybrid Three-Tier Competent Fuzzy Cluster Algorithm

A Reliable Data Transmission in EAACK MANETs Using Hybrid Three-Tier Competent Fuzzy Cluster... Ad hoc networks like MANETs can be made manageable by clustering the network where a cluster head is given the responsibility of an arbitrator. To make clustering more efficient, fuzzy clusters can be used to ensure faster cluster formation and reliable data delivery. A wireless sensor network such as MANETs can then have an extended lifetime with the workload being distributed evenly. This paper proposes a competent fuzzy approach in cluster formation. The proposed approach has two significant stages, one which helps in the formation of fuzzy clusters and the other introduces a 3-level filtering technique. The former makes MANETs efficient and manageable and the latter helps in identifying trusted nodes for communication. The modified Fuzzy C-means clustering technique is entrusted with the task of assigning membership to each and every data point linked to each singular cluster center used in the formation of clusters, while a special filter scheme is used to distinguish between the trusted nodes and the malicious nodes. This helps is determining the identity and authenticity of the cluster members’. Eventually only the trusted nodes will be part of the communication range. The filter based fuzzy clustering approach can be used to determine the perfect nodes, which will reflect in the network performance. This also helps in improving the packet transmission in ad hoc networks like MANETs. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Wireless Personal Communications Springer Journals

A Reliable Data Transmission in EAACK MANETs Using Hybrid Three-Tier Competent Fuzzy Cluster Algorithm

Download PDF
20 pages

Loading next page...
 
/lp/springer_journal/a-reliable-data-transmission-in-eaack-manets-using-hybrid-three-tier-KiMRPTRDY8

References (32)

Publisher
Springer Journals
Copyright
Copyright © 2017 by Springer Science+Business Media, LLC
Subject
Engineering; Communications Engineering, Networks; Signal,Image and Speech Processing; Computer Communication Networks
ISSN
0929-6212
eISSN
1572-834X
DOI
10.1007/s11277-017-4817-8
Publisher site
See Article on Publisher Site

Abstract

Ad hoc networks like MANETs can be made manageable by clustering the network where a cluster head is given the responsibility of an arbitrator. To make clustering more efficient, fuzzy clusters can be used to ensure faster cluster formation and reliable data delivery. A wireless sensor network such as MANETs can then have an extended lifetime with the workload being distributed evenly. This paper proposes a competent fuzzy approach in cluster formation. The proposed approach has two significant stages, one which helps in the formation of fuzzy clusters and the other introduces a 3-level filtering technique. The former makes MANETs efficient and manageable and the latter helps in identifying trusted nodes for communication. The modified Fuzzy C-means clustering technique is entrusted with the task of assigning membership to each and every data point linked to each singular cluster center used in the formation of clusters, while a special filter scheme is used to distinguish between the trusted nodes and the malicious nodes. This helps is determining the identity and authenticity of the cluster members’. Eventually only the trusted nodes will be part of the communication range. The filter based fuzzy clustering approach can be used to determine the perfect nodes, which will reflect in the network performance. This also helps in improving the packet transmission in ad hoc networks like MANETs.

Journal

Wireless Personal Communications – Springer Journals

Published: Aug 16, 2017

There are no references for this article.