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A Meta Heuristic Hybrid Moth Search Algorithm for Optimizing Link Quality and Shortest Path Routing in Wireless Sensor Networks


Affiliations
1 Department of Computer Science and Engineering, IK Gujral Punjab Technical University, India
2 Department of Physics, Amritsar College of Engineering and Technology, India
3 Department of Information Technology, Malout Institute of Management and Information Technology, India
     

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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.

Keywords

Moth Search Algorithm, Differential Evolution, Routing Protocol, Network Lifetime, Packet Loss, Wireless Sensor Networks.
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  • A Meta Heuristic Hybrid Moth Search Algorithm for Optimizing Link Quality and Shortest Path Routing in Wireless Sensor Networks

Abstract Views: 356  |  PDF Views: 1

Authors

Kantveer
Department of Computer Science and Engineering, IK Gujral Punjab Technical University, India
Navdeep Singh
Department of Physics, Amritsar College of Engineering and Technology, India
Harminder Singh Bindra
Department of Information Technology, Malout Institute of Management and Information Technology, India

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.

Keywords


Moth Search Algorithm, Differential Evolution, Routing Protocol, Network Lifetime, Packet Loss, Wireless Sensor Networks.

References