Efficient Cluster Head Selection Algorithm for MANET

Author:

Hussain Khalid1,Abdullah Abdul Hanan1ORCID,Iqbal Saleem1,Awan Khalid M.1,Ahsan Faraz2

Affiliation:

1. Faculty of Computing, Universiti Teknologi Malaysia, Skudai, Johor Bahru 83100, Malaysia

2. University Institute of Information Technology, PMAS-ARID Agriculture University, Rawalpindi 46300, Pakistan

Abstract

In mobile ad hoc network (MANET) cluster head selection is considered a gigantic challenge. In wireless sensor network LEACH protocol can be used to select cluster head on the bases of energy, but it is still a dispute in mobil ad hoc networks and especially when nodes are itinerant. In this paper we proposed an efficient cluster head selection algorithm (ECHSA), for selection of the cluster head efficiently in Mobile ad hoc networks. We evaluate our proposed algorithm through simulation in OMNet++ as well as on test bed; we experience the result according to our assumption. For further evaluation we also compare our proposed protocol with several other protocols like LEACH-C and consequences show perfection.

Funder

Ministry of Science, Technology and Innovation

Publisher

Hindawi Limited

Subject

Computer Networks and Communications,Information Systems

Cited by 13 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A Comparative Analysis of MANET Routing Protocols on Cluster Head selection: with fuzzy logic approach and without fuzzy logic approach;2023 9th International Conference on Smart Computing and Communications (ICSCC);2023-08-17

2. An Efficient Optimal Cluster Head Selection Algorithm in MANET using Elephant Herding optimization;2023 Second International Conference on Electrical, Electronics, Information and Communication Technologies (ICEEICT);2023-04-05

3. Fuzzy Fruit Fly Optimized Node Quality-Based Clustering Algorithm for Network Load Balancing;Computer Systems Science and Engineering;2023

4. Prevention of Blackhole Attack in MANET using Certificate less Signature Scheme;Journal of Scientific & Industrial Research;2022-10

5. Generic potential field based distributed node coordination in flying adhoc network (FANET);Journal of Ambient Intelligence and Humanized Computing;2022-02-22

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