Multi-Level Multi-Constraint Multi-Priority Fuzzy Sensor Routing (M3 L-C-PFSR)
Jayashree Agarkhed1, Vijayalaxmi Kadrolli2, Siddaram Patil3
1Jayashree Agarkhed, Computer science and engineering ,PDAEG-VTU, Kalaburgi, India.
2Vijayalaxmi Kadrolli, Computer Science and Engineerign, PDACEG_VTU, Kalaburgin, Indai.
3Siddaram Patil, Electronics and ommunication Engineering, PDACEG-VTU, Kalaburgi, India.
Manuscript received on 30 June 2019 | Revised Manuscript received on 05 July 2019 | Manuscript published on 30 July 2019 | PP: 1428-1435| Volume-8 Issue-9, July 2019 | Retrieval Number I7556078919/19©BEIESP | DOI: 10.35940/ijitee.I7556.078919
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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: In the field of Wireless Sensor Network (WSN), real time applications, the interesting research emerged in the field of QoS routing. Networks must address resource constraints although providing an accurate guarantee of quality of service (PDR, throughput, energy, End-to-End delay).This document presents the routing protocol compatible with QoS, namely [M3 L-C-PFSR] Multilevel, Multi constraint Multi Priority Fuzzy Sensor Routing Protocol which gives priority for important packets of important applications and also ensures the PDR, delay and throughput. Applying a scheme of multi level fuzzy based efficient buffer management to limit packet loss due to overflow. It supports lower throughput for packets which are lower in priority and higher throughput will be given for real-time prioritized packets which are assigned privileged higher priority, thus reducing end-to-end delay. The proposed work performance will be appraised [M3 L-C-PFSR] in NS2. The results of the simulation depicts that the proposed protocol [M3 L-C-PFSR] effectively minimizes the losses of critical packet, with different traffic conditions, ensuring the reliability and required delivery of data.
Keywords: WSN, Fuzzy Logic, Reliability, Priority, Buffer Management
Scope of the Article: Multi-Agent Systems