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Improving the Lifetime of WSN by Optimal Cluster-Heads Election Using Genetic Algorithm
Wireless sensor network is collection of sensors. Sensor nodes gather the sensory information and communicating with other nodes in networks. Key challenges in wireless sensor network are saving energy and extend the network life time. Routing protocols are used in two types of network: homogenous and heterogeneous. Heterogeneous wireless sensor network comprises of sensor nodes with distinctive capability, for example, diverse computing power and sensing range. Though, each protocol is not appropriate for heterogeneous WSNs. In this paper, we test stable leach and genetic algorithm optimized stable leach under a few distinctive situations holding high level heterogeneity to low level heterogeneity.
Keywords
Wireless Sensor Network (WSN), Stable LEACH, Genetic Algorithm (GA), Energy Clustering, Network Lifetime, Throughput.
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