An Efficient Leader Node Selection for Movable Nodes in WSN using PSO Technique
J.Jegan1, S. Siva Kumar2, A. Ramachandran3, S. Md.Shafiullah4
1J.Jegan, Associate Professor Department of CSE Sreenivasa Institute of Technology and Management Studies, Chittoor
2S.Siva Kumar, Associate Professor Department of CSE Sreenivasa Institute of Technology and Management Studies, Chittoor
3A.Ramachandran, Assistant Professor, Department of CSE, B.S. Abdur Rahman Crescent Institute of Science and Technology, Chennai (Tamil Nadu), India.
4S.Md.Shafiullah, Research Scholar, Department of CSE, SCOPE-Vellore Institute of Technology, Vellore (Tamil Nadu), India.
Manuscript received on July 20, 2019. | Revised Manuscript received on August 10, 2019. | Manuscript published on August 30, 2019. | PP: 5072-5078 | Volume-8 Issue-6, August 2019. | Retrieval Number: F9554088619/2019©BEIESP | DOI: 10.35940/ijeat.F9554.088619
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Wireless Sensor Networks (WSN) is a group of sensor devices, which are used to sense the surroundings. The network performance is still an issue in the WSN and an efficient protocol is introduced such as LEACH. To improve the stability, LEACH with fuzzy descriptors is used in preceding research. However the existing has drawback with effective group formation in heterogeneous WSN and also it is not achieved the Super Leader Node (SLH). To overcome the above mentioned issues, the proposed system enhances the approach which is used for increasing the energy consumption, packet delivery ratio, and bandwidth and network lifetime. The proposed paper contains three phases such as grouping formation, Leader Node (LN) selection, SLN selection with three main objectives:(i) to acquire Energy-Efficient Prediction Clustering Algorithm (EEPCA) in heterogeneous WSN for grouping formation (ii)To design Low Energy Adaptive Clustering Hierarchy- Expected Residual Energy (LEACH-ERE) protocol for LN selection.(iii)To optimize the SCH selection by Particle Swarm Optimization (PSO) based fuzzy approach. The clustering formation is done by Energy-Efficient Prediction Clustering Algorithm (EEPCA) in heterogeneous WSN. It is used to calculate the sensor nodes which have shortest distance between each node. The LEACH-ERE protocol was proposed to form a Leader Node (LN) and all the nodes has to communicate with sink through LN only. New SLN is elected based on distance from the sink and battery power of the node.
Keywords: Leader, Energy, heterogeneous.