Energy Efficient Clustering Algorithm for Software Defined Wireless Sensor Networks

Ahmed, Minhaz Uddin; Kamal, Md. Shaker Ibna

dc.contributor.author	Ahmed, Minhaz Uddin
dc.contributor.author	Kamal, Md. Shaker Ibna
dc.date.accessioned	2020-10-27T10:42:56Z
dc.date.available	2020-10-27T10:42:56Z
dc.date.issued	2018-11-15
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dc.identifier.uri	http://hdl.handle.net/123456789/576
dc.description	Supervised by Md. Sakhawat Hossen	en_US
dc.description.abstract	To maximize the network lifetime is a major issue for designing and deploying a wireless sensor network (WSN). Clustering is a fundamental and effective technique for utilizing sensor nodes’ energy and extending the network lifetime for wireless sensor networks. In this paper, we present a new method to elongate the network lifetime based on the Adaptive Particle Swarm Optimization (APSO) algorithm, which is an optimized method designed to select the target nodes. Takes into account both energy efficiency and transmission distance, and relay nodes to alleviate the excessive energy consumption of the cluster heads. The proposed protocol results in better distributed sensor and optimized clustering system enhancing the network’s lifetime. We compare the proposed protocol with comparative protocols by varying a number of parameters, e.g., the number of nodes, the network area size, and the position of the base station. Simulation results show that the proposed protocol performs better against other comparative protocols in different simulations. This thesis is concerned with the cluster head selection algorithm aiming different goals like maximize the network lifetime, minimizing total interference etc. This Adaptive particle swarm optimization based (APSO) algorithm will eliminate the uncertainty of the cluster head selection problem to attain the goals satisfying certain robust wireless sensor network.	en_US
dc.language.iso	en	en_US
dc.publisher	Department of Computer Science and Engineering, Islamic University of Technology, Board Bazar, Gazipur, Bangladesh	en_US
dc.title	Energy Efficient Clustering Algorithm for Software Defined Wireless Sensor Networks	en_US
dc.type	Thesis	en_US