Abstract
A sensor node (SN) in Wireless Sensor Networks (WSNs) can decide whether to collaborate with others based on a trust management system (TMS) by making a trust decision. In this paper, we study the trust decision and its dynamics that play a key role to stabilize the whole network using evolutionary game theory. When SNs are making their decisions to select actionTrustorMistrust, a WSNs trust game is created to reflect their utilities. An incentive mechanism bound with one SN’s trust degree is incorporated into this trust game and effectively promotes SNs to select actionTrust. The replicator dynamics of SNs’ trust evolution, illustrating the evolutionary process of SNs selecting their actions, are given. We then propose and prove the theorems indicating that evolutionarily stable strategies can be attained under different parameter values, which supply theoretical foundations to devise a TMS for WSNs. Moreover, we can find out the conditions that will lead SNs to choose actionTrustas their final behavior. In this manner, we can assure WSNs’ security and stability by introducing a trust mechanism to satisfy these conditions. Experimental results have confirmed the proposed theorems and the effects of the incentive mechanism.
Highlights
Wireless Sensor Networks (WSNs) have been widely used to a large number of applications that are classified into two categories: monitoring and tracking
In order to find a solution of the problem that sensor node (SN) in WSNs often lack tamperproof hardware and are compromised, a trust management system (TMS) can be usually employed to decide how much belief should be assigned to a SN during the procedure of making cooperative decision [5]
We centrally focus on setting up a WSNs trust game concerning on the dynamics of trust evolution during SNs’ decision-making
Summary
Wireless Sensor Networks (WSNs) have been widely used to a large number of applications that are classified into two categories: monitoring and tracking. When a TMS is employed in WSNs, the trust decision of SNs and its dynamics that we will study establish foundations to secure and stabilize the entire network. Journal of Sensors exist in judging attackers’ behaviors [7], obtaining optimal strategies to save IDS agents in WSNs [8], providing optimal strategies for preventing malware propagation [9], and supplying secure and dependable virtual service for SensorCloud [10] By taking this mathematical tool, we can find the best strategy for each player and the equilibrium state of a system. (2) We find that the incentive mechanism bound with the trust degree of a SN is able to reduce greatly the rate of SNs choosing action Mistrust and improve effectively the WSNs in its security as well as stability.
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