A Centralized Faulty Node Detection Algorithm Based on Statistical Analysis in WSN
Rabindra Kumar Shial, Bhabani Sankar Gouda, Sudhir Ranjan Pattanaik, Nilambar Sethi
20202020 International Conference on Computer Science, Engineering and Applications (ICCSEA)10 citationsDOI
Abstract
Faulty sensor nodes presence always degrades the network performance in wireless sensor network. However identification of the faulty sensor nodes may improve the performances. The existing conventional techniques for detection of faulty sensor node use mean and statistical z-test. The performance by using this mean under high noise environment is not up to the mark. In this paper we propose a centralized faulty node detection algorithm based on statistical analysis in wireless sensor network. The proposed algorithm is evaluated and simulation result shows that our algorithm performs better than the existing conventional approaches.
Topics & Concepts
Wireless sensor networkComputer scienceNode (physics)Brooks–Iyengar algorithmAlgorithmKey distribution in wireless sensor networksIdentification (biology)Sensor nodeNoise (video)Real-time computingWirelessWireless networkComputer networkEngineeringArtificial intelligenceTelecommunicationsImage (mathematics)Structural engineeringBiologyBotanyEnergy Efficient Wireless Sensor NetworksSecurity in Wireless Sensor NetworksWater Quality Monitoring Technologies