1. Comparison between qabc and fgchs technique in wireless sensor network
Authors : Kawaljit Kaur, Amarpreet Singh
Pages : 95-102
DOI : http://dx.doi.org/10.21172/1.94.16
Keywords : Wireless Sensor Network, Ant Bee Colony optimization, Quantum Artificial Bee Colony optimization, Fuzzy Inference System, Energy Consumption. Abstract :Wireless network is a communication network which is comprised of multiple small sensors that creates a communication link from source node to destination node. The performance of the wireless network depends upon the energy factor. The more energy consumed by the nodes, the network is less efficient and if the energy consumption of the node is lower, the network will be quite effective and efficient and have a long lifetime. This work provides a contrast between FGCHS (Fuzzy Genetic based Cluster Head Selection technique) based CH selection mechanism (proposed technique) and QABC (Quantum Artificial Bee Colony) optimization methods for selecting the optimized cluster head. After conducting the results it is observed that the proposed technique is much suitable in comparison to the traditional technique in terms of increasing network reliability, number of surviving node in the network, reducing level of energy consumption and simulation time respectively.
Citing this Journal Article :Kawaljit Kaur, Amarpreet Singh, "Comparison between qabc and fgchs technique in wireless sensor network", Volume 9 Issue 4 - February 2018, 95-102
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