Dynamic Cluster Head Selection Using Fuzzy Logic on Cloud in Wireless Sensor Networks

One of the most vital activities to reduce energy consumption in wireless sensor networks is clustering. In clustering, one node from a group of nodes is selected to be a cluster head, which handles majority of the computation and processing for the nodes in the cluster. This paper proposes an algor...

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Bibliographic Details
Published inarXiv.org
Main Authors Pahwa, Payal, Virmani, Deepali, Kumar, Akshay, Sahil, Rathi, Vikas, Swami, Sunil
Format Paper
LanguageEnglish
Published Ithaca Cornell University Library, arXiv.org 03.11.2015
Subjects
Algorithms
Cloud computing
Clustering
Energy consumption
Fuzzy logic
Manufacturing
Nodes
Remote sensors
Sensors
Spatial distribution
Wireless sensor networks
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Summary:One of the most vital activities to reduce energy consumption in wireless sensor networks is clustering. In clustering, one node from a group of nodes is selected to be a cluster head, which handles majority of the computation and processing for the nodes in the cluster. This paper proposes an algorithm for fuzzy based dynamic cluster head selection on cloud in wireless sensor networks. The proposed algorithm calculates a Potential value for each node and selects cluster heads with high potential. The proposed algorithm minimizes cluster overlapping by spatial distribution of cluster heads and discards malicious nodes i.e. never allows malicious nodes to be cluster heads.
ISSN:2331-8422