Selfish Node Detection Scheme based on Bates Distribution Inspired Trust Factor for MANETs

Authors

  • Sengathir Janakiraman Department of Information Technology, CVR College of Engineering, Mangalpally, Vastunagar, Hyderabad, Telangana, India
  • M. Deva Priya Department of Computer Science & Engineering, Sri Eshwar College of Engineering, Coimbatore, Tamilnadu, India

DOI:

https://doi.org/10.4108/ew.v9i6.3065

Keywords:

Bates Distribution, Selfish behaviour, Trust Factor, Mean Packet Deviation, Variance, Standard Deviation

Abstract

The trustworthiness of mobile nodes is considered as the principal parameter for ensuring significant data dissemination in a Mobile Ad hoc NETwork (MANET). However, the selfish behaviour of nodes minimizes the trust by dropping a considerable amount of data packets in the network. The significant dropping of data packets by the selfish node introduces huge data overhead with increased latency and energy consumption, thus increasing the number of retransmissions. In this paper, Selfish Node Detection Scheme based on Bates Distribution Inspired Trust Factor (SNDS-BDITF) is propounded for predominant detection of selfish behaviour by investigating multiple levels of factors that contribute towards effective selfishness detection. The proposed SNDS-BDITF approach is also potent in enhancing the detection rate of selfishness by multi-perspective analysis of each monitored node’s forwarding characteristics considering the benefits of other cooperating mobile nodes. The simulation results of the propounded SNDS-BDITF method are enhanced on an average by 16% and 14% when compared to the existing selfish node segregation mechanisms prevalent in the literature. 

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Published

22-02-2023

How to Cite

1.
Janakiraman S, Priya MD. Selfish Node Detection Scheme based on Bates Distribution Inspired Trust Factor for MANETs. EAI Endorsed Trans Energy Web [Internet]. 2023 Feb. 22 [cited 2024 Jun. 25];9(6):e1. Available from: https://publications.eai.eu/index.php/ew/article/view/3065