
An Energy Efficient Clustering based Distributed Load Balancing Technique for Mobile Adhoc Networks
Author(s) -
M. Parimala,
S. Saravanan
Publication year - 2019
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.i8436.078919
Subject(s) - backup , computer science , cluster analysis , distributed computing , node (physics) , load balancing (electrical power) , network topology , mobile ad hoc network , fault tolerance , topology (electrical circuits) , computer network , efficient energy use , engineering , grid , mathematics , geometry , electrical engineering , structural engineering , database , machine learning , network packet
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.