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An Efficient Outlier Detection Mechanism for RFID-Sensor Integrated MANET

  • Adarsh KumarEmail author
  • Alok Aggarwal
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 940)

Abstract

The proposed outlier detection scheme is multi-filtered, outlier stage outlier detection approach for resource constrained devices and networks. Multi-filtered consists of detection using trust, indices and performance based outliers whereas multi-stage detection detect outliers at MAC, routing and application layer. A novel trust management mechanism is proposed for trust based outlier detection followed by internal and external indices for second stage filtering and outlier detection. Thereafter, performance of individual and group nodes is measured for outlier detection and subsequent processing. Simulation results shows cluster stability with different number of clusters. Maximum stability for 0 to 500 nodes (small scale network) is observed with 25 clusters, 500 to 3000 nodes (medium scale network) is observed with 39 clusters and 3000 to 5000 nodes (large scale network) is observed with 52 clusters. The proposed approach shows cluster stability of 61% (approax.).

Keywords

Outlier Inlier Trust Indices Performance Machine learning 

Notes

Acknowledgement

The authors would like to thank SEED Division of University of Petroleum and Energy Studies. This work is part of research project (https://sites.google.com/view/adarshproject2/) sponsored by University of Petroleum and Energy Studies (UPES), Dehradun, India under Grant: UPES/R&D/180918/14.

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.University of Petroleum and Energy StudiesDehradunIndia

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