Trust Dynamics in WSNs: An Evolutionary Game-Theoretic Approach

Shen, Shigen; Huang, Longjun; Fan, En; Hu, Keli; Liu, Jian Hua; Cao, Qiying

doi:10.1155/2016/4254701

Cited by 20 publications

(28 citation statements)

References 44 publications

(65 reference statements)

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“…Also packet forwarding strategies and cooperative strategies among nodes have been studied by different types of game theory in wireless networks, such as repeated games [13,14], no-cooperation games [15][16][17], bargaining games [18], and evolutionary games [19][20][21][22][23][24][25].…”

Section: Related Workmentioning

confidence: 99%

“…Among these methods of evolutionary game theory, some stimulation mechanisms are proposed to incentivize the nodes' cooperation. Shen et al [19] propose stimulating mechanisms to promote trust cooperation among nodes and analyze the dynamic evolutionary process of nodes selecting the trust strategy and derive several conditions with which the networks can attain the stable states. Li et al [20], based on [19], consider a factor of packet loss in the data retransmission process and introduce a strategy adjustment mechanism into the evolutionary game process.…”

Section: Related Workmentioning

confidence: 99%

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Packet Forwarding Strategies in Multiagent Systems: An Evolutionary Game Approach

2018

Wireless Communications and Mobile Computing

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In multiagent systems (MASs), agents need to forward packets to each other to accomplish a target task. In this paper, we study packet forwarding among agents using evolutionary game theory under the mechanisms of Carrier Sense Multiple Access/Collision Avoidance (CSMA/CA). Packet forwarding among agents plays a key role to stabilize the whole MAS. We study the transfer probability of packet forwarding of agents at the idle state or the busy state and computer the probability of the packet forwarding for a MAS. When agents make their decisions to select Forward or No-Forward strategy, a packet forwarding evolutionary game model is built to reflect the utilities of different packet forwarding strategies. Two incentive mechanisms are introduced into the game model. One is to motivate agents to strengthen cooperation; the other is to encourage agents to select the No-Forward strategy to save energy while they are in the busy state. The parameter value that encourages an agent to select the No-Forward strategy is inversely proportional to the average probability of the packet forwarding. The replicator dynamics of agent packet forwarding strategy evolution are given. We propose and prove the theorems indicating that evolutionarily stable strategies (ESSs) can be attained. The results of simulation experiments verify the correctness of the proposed theorems and the effects of the two incentive mechanisms and the probability of packet forwarding, which assures the robustness of evolutionary stable points among agents in MASs.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Packet Forwarding Strategies in Multiagent Systems: An Evolutionary Game Approach

2018

Wireless Communications and Mobile Computing

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“…The method can detect malicious nodes according to different secure requirements under different WSNs applications, which provides a safe running environment for different applications. Shen et al [31] studied the trust decision and its dynamics that played a key role in stabilizing the whole network using evolutionary game theory. The evolutionary game theory is used for the area of trust evolution in WSNs.…”

Section: Related Workmentioning

confidence: 99%

“…Trust management system can be implemented in various applications for security management such as secure protocol [8], secure data aggregation [13], trusted routing [14], and intrusion detection system [15]. In recent years, lots of state-of-the-art models [5,[12][13][14][15][16][17][18][19][20][21][22][23][24][25][26][27][28][29][30][31] have been proposed in this field. Undoubtedly, the present achievements have greatly promoted related research in improving security of WSNs.…”

Section: Introductionmentioning

confidence: 99%

An Efficient Dynamic Trust Evaluation Model for Wireless Sensor Networks

Wen

Liu

et al. 2017

Journal of Sensors

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Trust evaluation is an effective method to detect malicious nodes and ensure security in wireless sensor networks (WSNs). In this paper, an efficient dynamic trust evaluation model (DTEM) for WSNs is proposed, which implements accurate, efficient, and dynamic trust evaluation by dynamically adjusting the weights of direct trust and indirect trust and the parameters of the update mechanism. To achieve accurate trust evaluation, the direct trust is calculated considering multitrust including communication trust, data trust, and energy trust with the punishment factor and regulating function. The indirect trust is evaluated conditionally by the trusted recommendations from a third party. Moreover, the integrated trust is measured by assigning dynamic weights for direct trust and indirect trust and combining them. Finally, we propose an update mechanism by a sliding window based on induced ordered weighted averaging operator to enhance flexibility. We can dynamically adapt the parameters and the interactive history windows number according to the actual needs of the network to realize dynamic update of direct trust value. Simulation results indicate that the proposed dynamic trust model is an efficient dynamic and attack-resistant trust evaluation model. Compared with existing approaches, the proposed dynamic trust model performs better in defending multiple malicious attacks.

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“…In addition, incentive mechanisms based on the evolutionary game have been used to analyze the dynamics of the trust strategy selection, such as a trust strategy or a strategy that tends to cooperate [11,12]. Moreover, there are many existing strategies or techniques for the evolution of cooperation in different situations, for example, agent societies [13] and networks [14].…”

Section: Introductionmentioning

confidence: 99%

An Efficient Approach for Stimulating Cooperation among Nodes in Wireless Sensor Networks

Wang

Shen

et al. 2016

International Journal of Distributed Sensor Networks

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A Wireless Sensor Network (WSN), characterized as being self-organizing and multihop, consists of a large number of lowpower and low-cost nodes. The cooperation among nodes is the foundation for WSNs to achieve the desired functionalities, such as the delivery or forwarding of packets. However, due to the limited resources such as energy, computational availability, and communication capabilities, there may exist some selfish nodes that refuse to cooperate with others. If the critical masses of nodes do not cooperate in the network, the network would not be able to operate to achieve its functional requirements. To resolve the problem above, we introduce a Win-Stay, Lose-Likely-Shift (WSLLS) approach into a Prisoner's Dilemma (PD) game framework, and it applies a utility-based function, which is a linear combination of one player's payoff and its neighbors' in a game, to evaluate a player's (i.e., node) performance for a game. Experimental results demonstrate that our approach performs well in stimulating cooperation in different settings under a certain condition with limited information, regardless of the static topologies types of WSNs, initial proportion of cooperation, and the average number of neighbors.

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Trust Dynamics in WSNs: An Evolutionary Game-Theoretic Approach

Cited by 20 publications

References 44 publications

Packet Forwarding Strategies in Multiagent Systems: An Evolutionary Game Approach

Packet Forwarding Strategies in Multiagent Systems: An Evolutionary Game Approach

An Efficient Dynamic Trust Evaluation Model for Wireless Sensor Networks

An Efficient Approach for Stimulating Cooperation among Nodes in Wireless Sensor Networks

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