Fuzzy Based Enhanced Medium Access Control protocol for Wireless Sensor Networks
N. Tamilarasi1, S. G. Santhi2
1N. Tamilarasi, Department of Computer & Information Science, Faculty of Science, Annamalai University, Annamalainagar, Tamil Nadu, India.
2Dr. S. G. Santhi, Department of Computer Science and Engineering, FEAT, Annamalai University, Annamalainagar, Tamil Nadu, India.
Manuscript received on February 10, 2020. | Revised Manuscript received on February 20, 2020. | Manuscript published on March 30, 2020. | PP: 1585-1591 | Volume-8 Issue-6, March 2020. | Retrieval Number: F7710038620/2020©BEIESP | DOI: 10.35940/ijrte.F7710.038620
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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 Networks (WSNs) have increased huge consideration because of their wide scope of utilizations. In these networks, the sensor hubs gather various kinds of information from the general condition. During the transmission of collected data packets, some of them will be dropped due to the collision of packets. So, collide packets are retransmitted which may lead the network to high energy consumption. As Medium Access Control (MAC) protocol has responsible for reliable communication in WSN, an enhanced MAC protocol has to be proposed for improving energy efficiency of the network. By considering this solution, Fuzzy Based Enhanced Medium Access Control protocol (Fuzzy-MAC) is proposed in this paper. Before transmission, data packets are prioritized using the Fuzzy system. Then the packets are transmitted in light of the need of the parcels. Simulation results show that the exhibition of the proposed Fuzzy-MAC beats that of existing MAC protocols as far as energy utilization, delivery ratio and throughput.
Keywords: Wireless Sensor Networks (WSNs), Medium Access Control (MAC) protocol, Fuzzy system, Fuzzy-MAC.
Scope of the Article: Energy harvesting and transfer for wireless sensor networks.