Energy Efficient of IDS Using Fuzzy Logic for Lifetime Improvement in Wireless Sensor Network
S. Venkatesan1, M. Ramakrishnan2
1S. Venkatesan*, Computer Application, Madurai Kamaraj University, Madurai, India.
2Dr. M. Ramakrishnan, School of IT, Madurai Kamaraj University, Madurai, India.
Manuscript received on January 30, 2021. | Revised Manuscript received on February 04, 2021. | Manuscript published on February 28, 2021. | PP: 233-238 | Volume-10 Issue-3, February 2021. | Retrieval Number: 100.1/ijeat.C22140210321 | DOI: 10.35940/ijeat.C2214.0210321
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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: The Wireless Sensor Network (W.S.N.) comprises little batteries fueled sensor gadgets with restricted energy assets. The Sensor hubs used to monitor the physical screen or conditionsbased on normal, theinformation must be private organization to primary area. The Most significant obstacles in a sensing the remote in the particular network which used to make an efficient energy framework. Clustering is the one of the major process in the sensor network based on wireless which used to drag out the life time of an organization lifetime which in turn reduce the energy utilization of the network. It includes gathering hubs into groups and choosing bunch heads (CH) for all the groups. CH gather information from separate group hubs and forward the collected data to the fundamental corner. This paper proposes novel fluffy various dynamic methodology measures: “Energy Efficient Optimal Cluster Head Selection utilizing Fuzzy Logic (EEOCH-FL)” for Wireless Sensor Network. Fluffy different boundary dynamic methodology is used to choose C.H.s utilizing three standards: leftover energy, fixation, the right ways from the principle hubs, and base station. The life cycle of Clustering hub and Clustering Head are grouped, clustering hub which transmitted all data to the Cluster Header Leader (CHL). The bunch head pioneers sent collected information to the Base Station (B.S.) from that point forward. The determination of bunch heads, group head pioneers is controlled and monitored by utilizing a fluffy rationale. The information transmission measure is per-shaped by the briefest energy way chosen to apply Dijkstra Algorithm. The reenactment results show that this methodology is more potent in boosting the availability inside each bunch. Furthermore, the reproduction aftereffects of this examination are contrasted and different conventions LEACH and CEELRP to assess the proposed steering convention’s presence. The assessment reasons that convention of steering of this proposed work proved to be an effective in utilization of an energy.
Keywords: Intrusion Detection System, Fuzzy Logic, Lifetime of Network, Clustering, Routing protocol
Scope of the Article: Fuzzy logics