1. Enhancing network lifetime in wireless sensor network through grey wolf optimization
Authors : Navpreet Kaur, Amarpreet Singh, Parambir Singh
Pages : 14-18
DOI : http://dx.doi.org/10.21172/1.124.04
Keywords : Keywords— Wireless Sensor Network, Cluster formation, Cluster Head Selection, Energy Model, Optimization, Grey Wolf Optimization. Abstract :Wireless Sensor Networks are the key components that are used to analyze the surroundings in order to utilize the sensor data for further processing’s such as weather prediction, health related predictions of a patient, traffic control etc. In these environments, the sensor nodes of the network are expected to operate individually in the region for a long period, since it is impossible to manually refill the energy of the nodes due to high maintenance cost of the network. Therefore, the depletion of a single sensor node may effects the processing of the whole network. Consequently, there is a requirement to propose a energy efficient solution in order to increase the network lifetime.In this study, the proposed energy efficient clustering technique is compared with the traditional ACOPSO mechanism in terms of throughput, energy consumption and network lifetime. The proposed work uses the energy and distance as major parameters for measuring the capabilities of a node to become a CH. Along with this, the GWO optimization is implemented to optimize the outcomes.
Citing this Journal Article :Navpreet Kaur, Amarpreet Singh, Parambir Singh, "Enhancing network lifetime in wireless sensor network through grey wolf optimization ", Volume 12 Issue 4 - February 2019, 14-18
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