A META HEURISTIC HYBRID MOTH SEARCH ALGORITHM FOR OPTIMIZING LINK QUALITY AND SHORTEST PATH ROUTING IN WIRELESS SENSOR NETWORKS

Abstract
The Internet of Things tends to attract deep interest in areas such as electronic, environmental management and enhance the effectiveness from researchers, the industry, citizens and government. IoT provides internet connectivity between connected phones in any context, anytime or anywhere. Wireless sensor networks (WSNs) consequently play an important role in developing a robust, affordable and convenient network of smart devices. Even then, sensor networks are restricted in scope of power, processing, and memory. In this framework, authors proposed a routing protocol of hybrid meta-heuristic moth search algorithm based differential evolution (HMSA-DE). By choosing routes based on the quality of the link, residual energy and recommended measuring mechanisms, the HMSA enhances reliability and energy efficiency. In addition, HMSA offers an event-based load balancing system that further prevents premature node / network power consumption. The findings suggest that HMSA improves the life cycle and availability of the network as well as the performance of IoT application services. It distributes limited network resources evenly and reduces the packet loss rate compared with the results of network protocols.

Authors
Kantveer1, Navdeep Singh2,Harminder Singh Bindra3
IK Gujral Punjab Technical University, India1, Amritsar College of Engineering and Technology, India2, Malout Institute of Management and Information Technology, India3

Keywords
Moth Search Algorithm, Differential Evolution, Routing Protocol, Network Lifetime, Packet Loss, Wireless Sensor Networks
Published By :
ICTACT
Published In :
ICTACT Journal on Communication Technology
( Volume: 12 , Issue: 3 )
Date of Publication :
September 2021
DOI :

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