Detection of selfish Nodes in MANET - a survey

Ramya, N.; Rathi, S.

doi:10.1109/icaccs.2016.7586378

Cited by 6 publications

(2 citation statements)

References 14 publications

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“…Further, Bates Distribution (BD) is determined to be significant which follows the property of continuous distribution for exploiting and exploring the inherent characteristics of mobile nodes during detection [8]. The value of BD is estimated to be predominant in selfish node detection since it is capable of exploring multiple levels of dependent factors that contribute to selfish node detection [9]. In addition, BD is also significant in removing the consistency level in the performance of mobile nodes [10].…”

Section: Introductionmentioning

confidence: 99%

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

Janakiraman¹,

Priya²

2023

EAI Endorsed Trans Energy Web

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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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Section: Introductionmentioning

confidence: 99%

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

Janakiraman¹,

Priya²

2023

EAI Endorsed Trans Energy Web

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“…Due to the previously mentioned limitations, a key threat known as node 'selfish behavior' arises in the network, in which the nodes purposely tend to drop the messages that do not target it, in an effort to save its energy [7] [8]. In other words, the nodes are not encouraged to contribute to the forwarding process.…”

Section: Introductionmentioning

confidence: 99%

A Nested Genetic Algorithm for Mobile Ad-Hoc Network Optimization with Fuzzy Fitness

Eissa¹,

Zakaria²,

Ahmed³

et al. 2019

IJACSA

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One of the major culprits that faces Mobile Ad-hoc networks (MANET) is broadcasting, which constitutes a very important part of the infrastructure of such networks. This paper presents a nested genetic algorithm (GA) technique with fuzzy logic-based fitness that optimizes the broadcasting capability of such networks. While normally the optimization of broadcasting is considered as a multi-objective problem with various output parameters that require tuning, the proposed system taps another approach that focuses on a single output parameter, which is the network reachability time. This is the time required for the data to reach a certain percentage of connected clients in the network. The time is optimized by tuning different decision parameters of the Delayed Flooding with Cumulative Neighborhood (DFCN) broadcasting protocol. The proposed system is developed and simulated with the help of the Madhoc network simulator and is applied on different realistic real-life scenarios. The results reveal that the reachability time responds well to the suggested system and shows that each scenario responds differently to the tuning of decision parameters.

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A Survey of Selfish Nodes Detection in MANET: Solutions and Opportunities of Research

Al-Shakarchi

Alubady

2021

2021 1st Babylon International Conference on Information Technology and Science (BICITS)

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Detection of selfish Nodes in MANET - a survey

Cited by 6 publications

References 14 publications

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

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

A Nested Genetic Algorithm for Mobile Ad-Hoc Network Optimization with Fuzzy Fitness

A Survey of Selfish Nodes Detection in MANET: Solutions and Opportunities of Research

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