Open AccessLink Failure Detection and Classification in Wireless Sensor Networks using Classification Method
Author(s) -
B. Rajasekaran*,
C. Arun
Publication year - 2019
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.l3886.1081219
Subject(s) - computer science , wireless sensor network , network packet , computer network , classifier (uml) , key distribution in wireless sensor networks , node (physics) , latency (audio) , wireless , wireless network , real time computing , artificial intelligence , engineering , telecommunications , structural engineering
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.