Link Failure Detection and Classification in Wireless Sensor Networks using Classification Method
2019 ◽
Vol 8
(12)
◽
pp. 1132-1135
Keyword(s):
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.
2018 ◽
Vol 8
(3)
◽
2016 ◽
Vol 26
(03)
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pp. 1750043
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Keyword(s):
2019 ◽
Vol 8
(12)
◽
pp. 376-382
Keyword(s):
2021 ◽
Vol 12
(6)
◽
pp. 2380-2389
2022 ◽
Vol 13
(2)
◽
pp. 0-0
Keyword(s):
2019 ◽
Vol 8
(12)
◽
pp. 863-868
2018 ◽
Vol 7
(2.24)
◽
pp. 504
Keyword(s):
Keyword(s):