Routing Protocol for Clustered Bee-Ad Hoc MANETS with Proper node Utilization
Sasmita Mohapatra
Dr. Sasmita Mohapatra, Associate Professor, Department of Electronics and Communication Engineering Sapthagiri College of Engineering, Bengaluru
Manuscript received on 02 August 2019 | Revised Manuscript received on 09 August 2019 | Manuscript published on 30 August 2019 | PP: 2917-2921 | Volume-8 Issue-10, August 2019 | Retrieval Number: I8467078919 /2019©BEIESP | DOI: 10.35940/ijitee.I8467.0881019
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Making MANETs energy efficient has been a biggest challenge from many years. In this regard in the previous works routing protocols have been introduced for stabilized clustering scheme with swarm intelligence where the MANETs are made energy efficient with well balanced multipath routing protocols. But in all the proposed protocols the cluster structures are non overlapping where there is a probability that some of the nodes may be left without any consideration in the clusters of MANET as nodes are highly dynamic in nature. These nodes usually do not belong to any of the clusters thus cannot take part in the routing process unless cluster splitting takes place. In that case certain time error may occur if any such kind of node carries any special information. For that the clusters may be made overlapping but in that case number of clusters may increase leading to complicated structure where efficiency may decrease suddenly in case of node movement or failure. For this a novel clustering and routing procedure has been introduced in the paper where not only all the nodes take part in data transmission but also number of clusters are minimized to improve efficiency. The work has been carried by using NS-2 simulator.
Keywords: Energy-efficient, MANET, Clustering, Non-overlapping, Node-utilization, Stable.
Scope of the Article: Clustering