Abstract
A Wireless Sensor Networks (WSN) comprise of a huge quantity of clusters of sensor nodes that can inter communicate with all nodes and with the base station through a wireless link. All clusters are corresponding to a cluster head to provide a direct communication to the base station and in addition with other cluster heads. Obviously well-organized selection of cluster head is a significant problem in the performance of the wireless sensor network. In this study, a novel two stage clustering protocol based on Self Organizing Map (SOM) neural network and Modified Fuzzy Possibilistic Clustering Algorithm (MFPCM) with the purpose of balancing the energy consumption. The clustering is carried out based on two important condition, energy level and coordinates of sensor nodes. Consequently, this novel two stage clustering method can prevent from premature death of the nodes and permit for random death of them. The experimental observation reveals that the SOM-MFPCM based cluster- head selection algorithm performs better than the cluster head election approach used in LEACH and can enable the network lifetime longer with less number of dead nodes.
Highlights
The experimental observation reveals that the Self Organizing Map (SOM)-Modified Fuzzy Possibilistic Clustering Algorithm (MFPCM) based clusterhead selection algorithm performs better than the cluster head election approach used in LEACH and can enable the network lifetime longer with less number of dead nodes
Through learning the framework of clustering algorithm for wireless sensor networks, this study presents a weighted average of cluster head selection algorithm based on BP neural network which make node weights directly related to the decisionmaking predictions
The performance of Leach algorithm is analyzed with the proposed approach in terms of sensing coverage over time and amount of dead nodes in the system over time using simulation based on MATLAB
Summary
A wireless sensor network consists of varied items of hardware and software. At the core of the system is that the wireless sensor device This piece of equipment consists of the physical sensors, a microprocessor to research the raw data signal and generate the information message, a radiofrequency transmitter to deliver the data. Whereas sensor nodes during a wireless sensor network are capable of exchanging information with alternative nodes, most applications can involve the delivery of information and data from every sensor node to a central data collection purpose. That time can generally be a computer that archives the information and software is required to make sure that the information delivered from the wireless receiver is taken, displayed and keep in a usable manner. Software applications should somehow be able to question the Corresponding Author: Rathi, Kongu Engineering College, Perudurai, India
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