Please use this identifier to cite or link to this item:
http://hdl.handle.net/2080/3408
Title: | Fault Diagnosis in Wireless Sensor Network using Self/Non-self Discrimination Principle |
Authors: | Khilar, Pabitra Mohan |
Keywords: | Fault Diagnosis Wireless Sensor Network Self/Non-self Discrimination Principle |
Issue Date: | Dec-2019 |
Citation: | International Conference on Computing, Analytics and Networking ( ICCAN 2019), Bhubaneswar, India, 14-15 December 2019. |
Abstract: | The fault diagnosis in wireless sensor networks (WSNs) is one of the most important topic in recent years as a lot of research work havealready been done in this area. The problem of fault diagnosis in WSN can be resembled with artificial immune system (AIS) in many different ways. In this paper, a self/non-self discrimination algorithm (SNSD) has been proposed to identify faulty sensor nodes in wireless sensor network (WSN). The performance metrics such as detection accuracy (DA), false alarm rate (FAR) and false positive rate (FPR) are used to evaluate the performance of the proposed algorithm. The simulation results show that the SNSD algorithm gives better result in terms of performance metrics compared to the existing algorithms. |
Description: | Copyright of this document belongs to proceedings publisher. |
URI: | http://hdl.handle.net/2080/3408 |
Appears in Collections: | Conference Papers |
Files in This Item:
File | Description | Size | Format | |
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2019_ICCAN_PMKhilar_FaultDiagnosis.pdf | Conference paper | 444.08 kB | Adobe PDF | View/Open |
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