A Research on Energy Efficient Cluster Routing for the Wireless Sensor Networks

Clustering with energy efficient routing is the most important technique for the wireless sensor networks. Cluster converts group of sensor nodes into small clusters and electing the cluster heads with energy efficient cluster routing for all the clusters in the Wireless sensor networks. By selecting the proper energy efficient cluster routing algorithm we can increase the life time of the wireless sensor networks. Lot of techniques are used for energy efficient cluster routing for Wireless sensor networks like Particle Swarm Optimization, Artificial Bees Colony Optimization, Crow Search Algorithm, Energy-efficient Intracluster Routing (EIR) algorithm and Dolphin Echolocation Algorithm (DEA). In this paper we have given the comparative analysis report of energy efficient cluster routing algorithms for the wireless sensor networks in terms of energy efficiency and sensor node lifetime of the networks.

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An Energy Efficient Routing Approach to Enhance Coverage for Application Specific Wireless Sensor Networks using Genetic Algorithm

Recent Advances in Computer Science and Communications ◽

10.2174/2666255813666191210144821 ◽

2019 ◽

Vol 13 ◽

Author(s):

Amandeep Kaur Sohal ◽

Ajay Kumar Sharma ◽

Neetu Sood

Keyword(s):

Genetic Algorithm ◽

Wireless Sensor Networks ◽

Sensor Networks ◽

Data Transmission ◽

Energy Efficient ◽

Search Algorithm ◽

Cluster Formation ◽

Green Computing ◽

Wireless Sensor ◽

Energy Efficient Routing

Background: An information gathering is a typical and important task in agriculture monitoring and military surveillance. In these applications, minimization of energy consumption and maximization of network lifetime have prime importance for green computing. As wireless sensor networks comprise of a large number of sensors with limited battery power and deployed at remote geographical locations for monitoring physical events, therefore it is imperative to have minimum consumption of energy during network coverage. The WSNs help in accurate monitoring of remote environment by collecting data intelligently from the individual sensors. Objective: The paper is motivated from green computing aspect of wireless sensor network and an Energy-efficient Weight-based Coverage Enhancing protocol using Genetic Algorithm (WCEGA) is presented. The WCEGA is designed to achieve continuously monitoring of remote areas for a longer time with least power consumption. Method: The cluster-based algorithm consists two phases: cluster formation and data transmission. In cluster formation, selection of cluster heads and cluster members areas based on energy and coverage efficient parameters. The governing parameters are residual energy, overlapping degree, node density and neighbor’s degree. The data transmission between CHs and sink is based on well-known evolution search algorithm i.e. Genetic Algorithm. Conclusion: The results of WCEGA are compared with other established protocols and shows significant improvement of full coverage and lifetime approximately 40% and 45% respectively.

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