An incentive detection mechanism for cooperation of nodes selfish behavior in wireless sensor networks

Chen, Bo; Mao, Jianlin; Guo, Ning; Qiao, Guanhua; Dai, Ning

doi:10.1109/ccdc.2013.6561653

Cited by 14 publications

(8 citation statements)

References 4 publications

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“…Initially, an attempt known as Incentive Detection Technique (IDT) (Chen et al 2013b) was made for preventing the issue of selfish nodes which is the potential misbehavior in wireless sensor networks. IDT enforces co-operation between the sensor nodes of the network using two modules that relates to the punishment and detection for malicious intent of selfish nodes.…”

Section: Related Workmentioning

confidence: 99%

“…Wireless Sensor Networks (WSNs) comprise of a large number of low cost tiny sensors distributed in a specific region for facilitating the activity of data process through sensing capability (Chen et al 2013a). The multi-hop, decentralized and self-organizing nature of sensor nodes make it suitable for gathering the essential environmental data such that it could be effectively employed in various range of applications such as agriculture, industry and military (Guo et al 2013).…”

Section: Introductionmentioning

confidence: 99%

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Semi Markov process inspired selfish aware co-operative scheme for wireless sensor networks (SMPISCS)

Devi

Ganesan

2019

Cybersecur

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In Wireless Sensor Network (WSN), energy and packet forwarding tendencies of sensor nodes plays a potential role in ensuring a maximum degree of cooperation under data delivery. This quantified level of cooperation signifies the performance of the network in terms of increased throughput, packet delivery rate and decreased delay depending on the data being aggregated and level of control overhead. The performance of a sensor network is highly inclined by the selfish behaving nature of sensor nodes that gets revealed when the residual energy ranges below a bearable level of activeness in packet forwarding. The selfish sensor node needs to be identified in future through reliable forecasting mechanism for improving the lifetime and packet delivery rate. Semi Markov Process Inspired Selfish aware Cooperative Scheme (SMPISCS) is propounded for making an attempt to mitigate selfish nodes for prolonging the lifetime of the network and balancing energy consumptions of the network. SMPISCS model provides a kind of sensor node's behavior for quantifying and future forecasting the probability with which the node could turn into selfish. Simulation experiments are carried out through Network Simulator 2 and the performance are analyzed based on varying the number of selfish sensor nodes, number of sensor nodes and range of detection threshold.

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Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Semi Markov process inspired selfish aware co-operative scheme for wireless sensor networks (SMPISCS)

Devi

Ganesan

2019

Cybersecur

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“…Replica allocation procedures are employed to lower communication cost, while achieving good data availability. In Wireless sensor network, the characteristic data of nodes selfish behavior including throughput, delay time, retransmission numbers [3].…”

Section: Partially Selfish Nodesmentioning

confidence: 99%

Detecting and Punishing the Selfish Node and its Behavior in WSN

Das¹,

Chatterjee²,

Roy³

2014

IJCOT

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In Wireless Sensor Network (WSN) communication, every node transmits data packets to further nodes and spend its resources like battery power, CPU time and memory. In ideal situation all the nodes forward packets to other nodes according to their requirements .Presence of selfish nodes is a very big issue in WSNs. A selfish node doesn't forward packets and utilize to its own profit but it is hesitating using personal resources for others. If such activities occurs within most of the nodes in the network, the network is disrupted. Selfish behavior detection and punishment is an essential requirement in wireless sensor networks. In our paper we have described an efficient algorithm for detection and punishment of a selfish node and the necessary action to be taken if the node is a critical node.

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“…Several incentive schemes have been developed to stimulate non‐selfish behavior in opportunistic networks . However, most published schemes suffer limitations in terms of the stability of the routing topology and the degraded delay and throughput performance.…”

Section: Introductionmentioning

confidence: 99%

An evolutionary bargaining‐based approach for incentivized cooperation in opportunistic networks

Nazih

Benamar

Younis

2020

Int J Communication

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Opportunistic networking enables users to communicate in an environment where connectivity is intermittent or unstable. However, such networking scheme assumes that mobile nodes voluntary cooperate, which cannot be guaranteed. Some nodes can simply exhibit selfish behavior and thus diminish the effectiveness of the approach. In this paper, a game scenario is formulated in which the nodes try to convince each other to participate in packets forwarding. Each node is considered as a player in this game. When a node comes in the communication range of another, a bargaining game starts between them as part of the message forwarding process. Both players try to have a mutual agreement on a price for message forwarding. We present a new incentive mechanism called evolutionary bargaining-based incentive scheme (EBIS) to motivate selfish nodes to cooperate in data forwarding. In EBIS, a node negotiates with other nodes to obtain an agreeable amount of credit for its forwarding service. Nodes apply a sequential bargaining game and then adapt their strategies using an evolutionary model to maximize the probability of reaching an agreement. Unlike classical bargaining games, nodes in our model are boundedly rational. In addition, we use the evolutionary stable strategy (ESS) concept to determine the adaptive strategies for the nodes. The comparison of EBIS with a benchmarked model demonstrates that EBIS performs better in terms of packet delivery ratio and average latency. K E Y W O R D Salternating-offers bargaining game, bounded rationality, evolutionary game theory, opportunistic networks

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An incentive detection mechanism for cooperation of nodes selfish behavior in wireless sensor networks

Cited by 14 publications

References 4 publications

Semi Markov process inspired selfish aware co-operative scheme for wireless sensor networks (SMPISCS)

Semi Markov process inspired selfish aware co-operative scheme for wireless sensor networks (SMPISCS)

Detecting and Punishing the Selfish Node and its Behavior in WSN

An evolutionary bargaining‐based approach for incentivized cooperation in opportunistic networks

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