Selfish Node Detection Scheme based on Bates Distribution Inspired Trust Factor for MANETs
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...
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| Format: | Article |
| Language: | English |
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European Alliance for Innovation (EAI)
2023-02-01
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| Series: | EAI Endorsed Transactions on Energy Web |
| Subjects: | |
| Online Access: | https://publications.eai.eu/index.php/ew/article/view/3065 |
| _version_ | 1797900312193794048 |
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| author | Sengathir Janakiraman M. Deva Priya |
| author_facet | Sengathir Janakiraman M. Deva Priya |
| author_sort | Sengathir Janakiraman |
| collection | DOAJ |
| description |
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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| first_indexed | 2024-04-10T08:43:59Z |
| format | Article |
| id | doaj.art-b6c384305e3649e4a1c819d090d88e96 |
| institution | Directory Open Access Journal |
| issn | 2032-944X |
| language | English |
| last_indexed | 2024-04-10T08:43:59Z |
| publishDate | 2023-02-01 |
| publisher | European Alliance for Innovation (EAI) |
| record_format | Article |
| series | EAI Endorsed Transactions on Energy Web |
| spelling | doaj.art-b6c384305e3649e4a1c819d090d88e962023-02-22T17:08:47ZengEuropean Alliance for Innovation (EAI)EAI Endorsed Transactions on Energy Web2032-944X2023-02-019610.4108/ew.v9i6.3065Selfish Node Detection Scheme based on Bates Distribution Inspired Trust Factor for MANETsSengathir Janakiraman0M. Deva Priya1Department of Information Technology, CVR College of Engineering, Mangalpally, Vastunagar, Hyderabad, Telangana, India Department of Computer Science & Engineering, Sri Eshwar College of Engineering, Coimbatore, Tamilnadu, India 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. https://publications.eai.eu/index.php/ew/article/view/3065Bates DistributionSelfish behaviourTrust FactorMean Packet DeviationVarianceStandard Deviation |
| spellingShingle | Sengathir Janakiraman M. Deva Priya Selfish Node Detection Scheme based on Bates Distribution Inspired Trust Factor for MANETs EAI Endorsed Transactions on Energy Web Bates Distribution Selfish behaviour Trust Factor Mean Packet Deviation Variance Standard Deviation |
| title | Selfish Node Detection Scheme based on Bates Distribution Inspired Trust Factor for MANETs |
| title_full | Selfish Node Detection Scheme based on Bates Distribution Inspired Trust Factor for MANETs |
| title_fullStr | Selfish Node Detection Scheme based on Bates Distribution Inspired Trust Factor for MANETs |
| title_full_unstemmed | Selfish Node Detection Scheme based on Bates Distribution Inspired Trust Factor for MANETs |
| title_short | Selfish Node Detection Scheme based on Bates Distribution Inspired Trust Factor for MANETs |
| title_sort | selfish node detection scheme based on bates distribution inspired trust factor for manets |
| topic | Bates Distribution Selfish behaviour Trust Factor Mean Packet Deviation Variance Standard Deviation |
| url | https://publications.eai.eu/index.php/ew/article/view/3065 |
| work_keys_str_mv | AT sengathirjanakiraman selfishnodedetectionschemebasedonbatesdistributioninspiredtrustfactorformanets AT mdevapriya selfishnodedetectionschemebasedonbatesdistributioninspiredtrustfactorformanets |