Link Failure Detection and Classification in Wireless Sensor Networks using Classification Method
B. Rajasekaran1, C.Arun2

1B. Rajasekaran, Research Scholar, Dept of ECE, St.Peter’s Institute of Higher Education & Research, Chennai, Tamil Nadu, India.
2Dr. C. Arun, Professor, Dept of ECE, R.M.K College of Engineering & Technology, Chennai, Tamil Nadu, India.

Manuscript received on September 15, 2019. | Revised Manuscript received on 23 September, 2019. | Manuscript published on October 10, 2019. | PP: 1132-1135 | Volume-8 Issue-12, October 2019. | Retrieval Number: L38861081219/2019©BEIESP | DOI: 10.35940/ijitee.L3886.1081219
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Abstract: This paper develops a method to detect the failures of wireless links between one sensor nodes to another sensor node in WSN environment. Every node in WSN has certain properties which may vary time to time based on its ability to transfer or receive the packets on it. This property or features are obtained from every node and they are classified using Neural Networks (NN) classifier with predetermined feature set which are belonging to both weak link and good link between nodes in wireless networks. The proposed system performance is analyzed by computing Packet Delivery Ratio (PDR), Link Failure Detection Rate (LFDR) and latency report.
Keywords: Wireless Links, Sensor Nodes, Link Failure, Neural Networks, Performance.
Scope of the Article: Classification