Research Article |
Energy-Resourceful Routing by Fuzzy Based Secured CH Clustering for Smart Dust
Author(s): Rajesh D
Published In : International Journal of Electrical and Electronics Research (IJEER) Volume 10, Issue 3
Publisher : FOREX Publication
Published : 18 September 2022
e-ISSN : 2347-470X
Page(s) : 659-663
Abstract
Smart Dust Network (SDN) consists of no-infrastructure, sovereign network, smart dust nodes are associated with wireless paths in multihop fashion. No-infrastructure and mobility atmosphere contains complexity to establish an innovative secure routing approach for MWSN. The major problem in MWSN is in routing because of its scarce resource accessibility and mobility in nature. Energy-resourceful routing is indispensable since each smart dust node is containing constrained battery energy. Power breakdown of a particular smart dust node splits network design. So MWSN routing utilizes offered battery power in successful manner to amplify network life. Fuzzy Based Secured CH Clustered (FSCC) approach identifies trustworthy and loop-open path among smart dust nodes by deciding a finest cluster-head. FSCC utilize velocity, signal potency and lingering energy as parameters to discover resourceful cluster-head. Smart dust nodes applying fuzzy rules to evaluate node cost. Smart dust node with maximum cost is decided as cluster-head. Cluster-head accomplishes event exchange among base station. Consequently, FSCC conserve constant network by diminishing re-association of entire smart dust nodes, re-selection of cluster-head and re-clustering. FSCC approach retains packet-delivery, delay, energy utilization by 88.073%, 16.485 %, and 24.6813% than offered AODV and FCESRB methodologies.
Keywords: Sovereign
, Clustering
, Fuzzy rules
, Signal Potency
Rajesh D, Associate Professor, Department of Computer Science and Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Avadi, India; Email: rajeshd936@gmail.com
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Rajesh D (2022), Energy-Resourceful Routing by Fuzzy Based Secured CH Clustering for Smart Dust. IJEER 10(3), 659-663. DOI: 10.37391/IJEER.100340.