An Energy Efficient Clustering based Distributed Load Balancing Technique for Mobile Adhoc Networks
M.A. Maria Parimala1, S. Saravanan2
1M.A. Maria Parimala, Research Scholar, Department of Computer and Information Science, Annamalai University, Chidambaram, India.
2Dr. S. Saravanan, Assistant Professor, Department of Computer Science and Engineering, Annamalai University, Chidambaram, India.
Manuscript received on 29 June 2019 | Revised Manuscript received on 05 July 2019 | Manuscript published on 30 July 2019 | PP: 1869-1877 | Volume-8 Issue-9, July 2019 | Retrieval Number: I8436078919/19©BEIESP | DOI: 10.35940/ijitee.I8436.078919
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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: In a mobile adhoc network (MANET), energy efficiency and mobility prediction are the two main challenging design issues due to the mobile nature of the nodes in any direction with limited battery lifetime, thus leads to adequate topology modifications. These two issues are mainly considered to maximize the lifetime of MANET. Load-balancing and reliable data transmission among the mobile nodes is mandatory to increase the network lifetime. To achieve this, clustering techniques can be employed to minimize the topology size and to aggregate the details related to the topology. In this paper, we introduce a new clustering based distributed load balancing (D-CALB) algorithm to maximize energy efficiency and network lifetime. Furthermore, a fault tolerant feature is included in the D-CALB algorithm, which maintains a secondary CH as a backup node in case of the failure of the present CH. The presented ZXCD- CALB algorithm has undergone an extensive set of experimentation under a varying number of nodes and speed. The detailed investigation of the experimental results verified the superior nature of the presented D-CALB algorithm over compared ones under several measures.
Index Terms: Clustering, Fault Tolerance, Load Balancing, MANET.
Scope of the Article: Clustering