Dynamic Link Failure Detection using Robust Virus Swarm Routing Protocol in Wireless Sensor Network
Nithyanandh S1, Jaiganesh V2
1Mr.Nithyanandh.S, Ph.D Research Scholar, Department of Computer Science, Dr.N.G.P. Arts and Science College, Coimbatore, India.
2Dr.Jaiganesh.V, Associate Professor, Department of Computer Science, Dr.N.G.P. Arts and Science College, Coimbatore, India.
Manuscript received on 12 March 2019 | Revised Manuscript received on 18 March 2019 | Manuscript published on 30 July 2019 | PP: 1574-1579 | Volume-8 Issue-2, July 2019 | Retrieval Number: B2271078219/19©BEIESP | DOI: 10.35940/ijrte.B2271.078219
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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 (WSN) gets weak due to node failures because of different reasons like intervention and faults that arise in communication. These kind of failures makes the entire network failure or disconnect part of the network leading to link failure. Routing protocols are responsible to find the best route to destination, because link failure minimizes the entire quality of service. Hence, there exist a need to find the preeminent route between source and destination which makes the communication in a efficient manner. Optimization started playing a major role in research, specifically in mining and networking issues. This paper aims to propose a optimization based routing protocol namely robust virus swarm routing protocol in order to effectively detect the link failures to find the alternative path and efficiently utilize the available energy to extend the network lifetime. The proposed protocol works by utilizing the dissemination and infection method followed by virus which defends the host-cell for the survival and progression. This research work uses the benchmark performance metrics to evaluate the proposed protocol against the existing protocols in the simulator NS2. The result shows that the proposed protocol outperforms the existing protocols in terms of all the metrics.
Index Terms: Wireless Sensor Network, Delay, Energy, Routing, Optimization.
Scope of the Article: Energy Harvesting and Transfer for Wireless Sensor Networks