An Enhanced Energy Optimization Routing Protocol with Fuzzy Logic in Wireless Sensor Network
A. Revathi1, S. G. Santhi2
1A. Revathi*, Research Scholar, Department of Computer and Information Science, Annamalai University, Annamalai Nagar.
2Dr. S.G. Santhi, Associate Professor, Department of Computer Science and Engineering, Annamalai University, Annamalai Nagar.
Manuscript received on February 10, 2020. | Revised Manuscript received on February 20, 2020. | Manuscript published on March 10, 2020. | PP: 1200-1206 | Volume-9 Issue-5, March 2020. | Retrieval Number: E2828039520/2020©BEIESP | DOI: 10.35940/ijitee.E2828.039520
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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: Wireless Sensor Network (WSN) is a huge collection of sensor nodes deployed without any predetermined infrastructure. They are powered by batteries and energy consumption is one of the major issues in WSN. Hence to prolong the lifetime of the networks, it is important to design the energy efficient optimized routing algorithm. In this paper, two hop forwarding scheme in AODV and Fuzzy Logic is proposed to find an optimal routing protocol and intermediate node acknowledgement is deducted by the use of Fuzzy rules. The parameters such as remaining energy, data packet transmission, packet received acknowledgement and number of rounds is given as input to the fuzzy system which gives an optimized routing decision. The efficacy of the proposed algorithm is evaluated using NS2 and compared with Fuzzy-based Energy-Aware Routing Mechanism (FEARM). The simulation results shows that the Fuzzy based AODV routing algorithm reduces the energy consumption, minimizes the routing response packets and improves the network life time compared to other similar routing protocols.
Keywords: Fuzzy Logic, Clustering, Wireless Sensor Network, Optimal Routing, Acknowledgement.
Scope of the Article: Clustering