학술논문

Energy-Aware Cluster Head selection protocol with Balanced Fuzzy C-mean Clustering in WSN
Document Type
Conference
Source
2022 19th International Multi-Conference on Systems, Signals & Devices (SSD) Systems, Signals & Devices (SSD), 2022 19th International Multi-Conference on. :1534-1539 May, 2022
Subject
Components, Circuits, Devices and Systems
Computing and Processing
Engineered Materials, Dielectrics and Plasmas
Fields, Waves and Electromagnetics
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
Wireless communication
Wireless sensor networks
Base stations
Energy consumption
Protocols
Simulation
Clustering algorithms
Wireless Sensor Network
Fuzzy c-mean
Cluster-Head selection
Energy Aware Clustering
Eu-clidean Distance
Ratio-Distance
Language
ISSN
2474-0446
Abstract
The Energy saving in wireless sensor network has become one of the ascending issue. To manage the remaining energy in nodes and extend the life time of the network, clustering is one of the efficient solution. Structuring homogenous and stable clusters as well as choosing the optimal cluster head is the key of an energy efficient clustering. This paper deals with an Energy Aware Cluster head selection protocol based on balanced Fuzzy c-mean clustering approach. This approach proposes uniform and stable cluster formation using Balanced Fuzzy c-mean algorithm with modified centroid. As for Cluster Head selection, three parameters are considered such as Residual energy of the node, Distance from the Base Station and Distance-Ratio. Simulation results on Matlab of the proposed approach are compared to basic energy efficient approaches such as LEACH, C-LEACH and TSI-LEACH.