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- Title
Efficient Energy Clustering Protocol Using Genetic Algorithm in Wireless Sensor Networks.
- Authors
Srikanth, Nandoori; Ganga Prasad, Muktyala Siva
- Abstract
Nowadays, Wireless Sensor Networks (WSNs) are pondered as an exploration subject. Currently, progress in electronic communications has directed to multi-purpose Sensor Nodes (SNs) with less price and power consumption. Energy efficiency is a major concern in WSNs as the sensor nodes are battery-operated devices. Clustering based techniques are implemented through data aggregation to make equal energy consumption among SNs for energy efficient data transmission. The existing clustering techniques make use of distinct Harmony Search Algorithm (HSA), Low-Energy Adaptive Clustering Hierarchy (LEACH) and Particle Swarm Optimization (PSO) algorithms. However, these algorithms have exploration exploitation trade-off and local search constraint individually. In order to obtain a global search with faster convergence, Efficient Energy Clustering Protocol (EECP) based on Genetic Algorithm (GA) is recently proposed to detect their immediate neighbors, balance energy consumption load among data transmission routes and energy efficient cluster head selection. The proposed algorithm exhibited high search efficiency and dynamic capability that improves lifetime of SNs. The presentation of the proposed algorithm was assessed using throughput, packet delivery ratio, energy consumption and end to end delay. The proposed algorithm showed an improvement in energy consumption and throughput by 95 and 90 Mbps respectively than existing clustering algorithm.
- Subjects
WIRELESS sensor networks; TELECOMMUNICATION; ENERGY consumption; CLUSTER analysis (Statistics); COMPUTER network protocols; GENETIC algorithms
- Publication
Journal of Engineering Science & Technology Review, 2018, Vol 11, Issue 6, p85
- ISSN
1791-2377
- Publication type
Article
- DOI
10.25103/jestr.116.12