An Energy-Efficient Routing using Fuzzy Model Based Clustering for Mobile Ad Hoc Network
D. Helen
Dr. D. Helen, Assistant Professor, Department of Maritime Education and Training, University, Chennai (Tamil Nadu), India.
Manuscript received on 05 February 2019 | Revised Manuscript received on 13 February 2019 | Manuscript published on 28 February 2019 | PP: 450-454 | Volume-8 Issue-4, February 2019 | Retrieval Number: D2744028419/19©BEIESP
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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: Mobile Ad hoc NETwork (MANET) is an infrastructure-less, autonomous network, the nodes are connected through the wireless multi-hop links. The absence of infrastructure and dynamic environment demands to form a new set of routing protocol for MANET. Routing is a main issue in MANET due to its mobility and inadequate resource availability. Especially, energy-efficient routing is essential because every node is operated by exhausted battery power. Power failure of an individual node partitioned the entire network architecture. So, routing in MANET shall use the available battery energy in an effective way to enhance the network lifetime. The Fuzzy Modelbased Clustering (FMC) algorithm recognizes the reliable and loop-free route between the nodes by choosing an optimal cluster head. The FMC uses the speed, residual energy and signal strength as factors in order to find the efficient cluster head. The nodes are implementing the fuzzy logic mechanism to estimate the node cost. The node with the highest cost is selected as cluster head. The cluster head achieves the data packet transmission. Hence, the FMC preserves the stable network by reducing the reselection of cluster head and minimizes the re-affiliation of all the nodes in the cluster. The FMC algorithm maintains the packet delivery ratio, average delay, energy consumption by 87.3%, 17.5 %, and 25.83% respectively, over the existing AODV and FCESRB protocols.
Keyword: Autonomous, Clustering, Fuzzy Logic, Signal Strength.
Scope of the Article: Clustering