A Survey on Selfish Node Detection in MANET

Yadav, Harshita; Pati, Hemanta Kumar

doi:10.1109/icacccn.2018.8748420

Cited by 9 publications

(7 citation statements)

References 12 publications

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“…In this simulation, the selection of selfish nodes is predetermined manually. Specifically speaking, node[0]∼node [4] are configured as selfish nodes to test 10% selfish node proportion, and node[0]∼node [9] are configured as selfish nodes to test 20% selfish node proportion, and so on. This leads to unreliable simulation results.…”

Section: Impact Of Selfish Node Proportionsmentioning

confidence: 99%

“…In each set of simulations, there are two selfish nodes, that means 40% selfish nodes are selfish. There are 10 possible combinations, i.e., (0, 1), (0, 2), (0, 3), (0, 4), (1,2), (1,3), (1,4), (2,3), (2,4), and (3,4). Here, (i, j) denotes that the nodes indexed i and j are selfish in this run of simulation.…”

Section: Impact Of Selfish Node Combinationsmentioning

confidence: 99%

“…This paper mainly focuses on the evaluation of the impact of node selfishness on the network performance in MANETs. Selfishness is a most common passive denial of service (DoS) attack that lowers the network performance [ 4 ]. As clearly depicted in Figure 1 , the presence of selfish nodes causes negative implications on the network (e.g., network partitioning problems).…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Quantitative Study on the Impact of Energy Consumption Based Dynamic Selfishness in MANETs

Shan

Fan

et al. 2021

Sensors

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Cooperative communication and resource limitation are two main characteristics of mobile ad hoc networks (MANETs). On one hand, communication among the nodes in MANETs highly depends on the cooperation among nodes because of the limited transmission range of the nodes, and multi-hop communications are needed in most cases. On the other hand, every node in MANETs has stringent resource constraints on computations, communications, memory, and energy. These two characteristics lead to the existence of selfish nodes in MANETs, which affects the network performance in various aspects. In this paper, we quantitatively investigate the impacts of node selfishness caused by energy depletion in MANETs in terms of packet loss rate, round-trip delay, and throughput. We conducted extensive measurements on a proper simulation platform incorporating an OMNeT++ and INET Framework. Our experimental results quantitatively indicate the impact of node selfishness on the network performance in MANETs. The results also imply that it is important to evaluate the impact of node selfishness by jointly considering selfish nodes’ mobility models, densities, proportions, and combinations.

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Section: Impact Of Selfish Node Proportionsmentioning

confidence: 99%

Section: Impact Of Selfish Node Combinationsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Quantitative Study on the Impact of Energy Consumption Based Dynamic Selfishness in MANETs

Shan

Fan

et al. 2021

Sensors

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“…As described in our previous work [3], a selfish node is the node that sends/receives packets in own interests and refuses to forward packets for others in order to preserve its own resource. It is the most common passive denial of service (DoS) attack which lowers the network performance [6]. In a more precise word, the selfish nodes are not willing to forward data packets for others because of resource constrain even the control packets for routing operations.…”

Section: Introductionmentioning

confidence: 99%

Quantitative Study on Impact of Static/Dynamic Selfishness on Network Performance in VANETs

Shan

Fan

et al. 2021

IEEE Access

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Vehicular ad hoc network is a kind of mobile ad hoc networks which provides wireless communication between vehicles. In most cases, multi-hop communication is needed, because of the limited range of wireless transmission. The multi-hop communication among nodes strictly relies on the forwarding functionality of intermediate nodes. Due to resource limitation, the intermediate nodes may exhibit selfishness and refuse to bear forwarding tasks for others. In this article, we defined two types of selfish nodes, namely static selfish nodes and dynamic selfish nodes. The impact of the two types of selfish nodes are quantitatively investigated from various aspects including mobilities, proportions, densities, and combinations. We conducted exhaustive simulations on an integrated simulation platform which consists of OMNeT++, SUMO, INET, and Veins. The experimental results indicate that the static selfish nodes have more harmful impacts on the performance of vehicular ad hoc networks in terms of average packet delivery ratios and end-to-end delays. Moreover, the results also imply that the impact of node selfishness should be evaluated by a comprehensive consideration of mobilities, proportions, densities, and combinations of selfish nodes.INDEX TERMS Forwarding, impact, OMNeT++, selfish nodes, vehicular ad hoc network.

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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 on Selfish Node Detection in MANET

Cited by 9 publications

References 12 publications

Quantitative Study on the Impact of Energy Consumption Based Dynamic Selfishness in MANETs

Quantitative Study on the Impact of Energy Consumption Based Dynamic Selfishness in MANETs

Quantitative Study on Impact of Static/Dynamic Selfishness on Network Performance in VANETs

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

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