Modeling and simulation of defense game model for jamming attack in wireless sensor networks using evolutionary game theory

2021 ◽  
Author(s):  
Mohaideen Pitchai K
Keyword(s):  
Game Theory ◽  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Modeling And Simulation ◽  
Evolutionary Game Theory ◽  
Evolutionary Game ◽  
Wireless Sensor ◽  
Game Model ◽  
Jamming Attack

scholarly journals Study on Selfish Node Incentive Mechanism with a Forward Game Node in Wireless Sensor Networks

2017 ◽  
Vol 2017 ◽  
pp. 1-13 ◽  
Author(s):  
Mohammed Ahmed Ahmed Al-Jaoufi ◽  
Yun Liu ◽  
Zhen-jiang Zhang ◽  
Lorna Uden
Keyword(s):  
Game Theory ◽  
Wireless Sensor Networks ◽  
Wireless Sensor Network ◽  
Sensor Networks ◽  
Sensor Network ◽  
Evolutionary Game Theory ◽  
Incentive Mechanism ◽  
Evolutionary Game ◽  
Wireless Sensor ◽  
Selfish Node

In a wireless sensor network, some nodes may act selfishly and noncooperatively, such as not forwarding packets, in response to their own limited resources. If most of the nodes in a network exhibit this selfish behavior, the entire network will be paralyzed, and it will not be able to provide normal service. This paper considers implementing the idea of evolutionary game theory into the nodes of wireless sensor networks to effectively improve the reliability and stability of the networks. We present a new model for the selfish node incentive mechanism with a forward game node for wireless sensor networks, and we discuss applications of the replicator dynamics mechanism to analyze evolutionary trends of trust relationships among nodes. We analyzed our approach theoretically and conducted simulations based on the idea of evolutionary game theory. The results of the simulation indicated that a wireless sensor network that uses the incentive mechanism can forward packets well while resisting any slight variations. Thus, the stability and reliability of wireless sensor networks are improved. We conducted numerical experiments, and the results verified our conclusions based on the theoretical analysis.

scholarly journals Game Theory Based Location Smoothing in Wireless Sensor Networks

2016 ◽  
Vol 12 (03) ◽  
pp. 16
Author(s):  
He Yongqiang ◽  
Qin Qin ◽  
Jun-peng Wang
Keyword(s):  
Game Theory ◽  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Objective Function ◽  
Noise Generator ◽  
Location Estimation ◽  
Wireless Sensor ◽  
Support Vector ◽  
Game Model ◽  
Mobile Target

Abstract: Location estimation of mobile target is an important research in wireless sensor networks. However, the phenomenon of non line of sight affects the accuracy of location estimating algorithms greatly. In order to improve the accuracy of location estimation of mobile targets, we proposed a game theory based location method algorithm in wireless sensor networks. In the proposed method, we first estimate the initial locations of mobile target with a support vector regression model, and then use game theory to smooth the already estimated locations. In the game model, game based filter and noise generator are two game rivals. The game filter aims to minimize the objective function of the game model, and the noise generator aims to maximize the same objective function. We propose a differential game theory based algorithm for solving the optimal resolution. The experiments show that, the proposed method is more powerful, and can be used to mobile target locating and tracking.

scholarly journals A Game-Theoretic Response Strategy for Coordinator Attack in Wireless Sensor Networks

2014 ◽  
Vol 2014 ◽  
pp. 1-10 ◽  
Author(s):  
Jianhua Liu ◽  
Guangxue Yue ◽  
Shigen Shen ◽  
Huiliang Shang ◽  
Hongjie Li
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Network Lifetime ◽  
Cooperative Communications ◽  
Network Performance ◽  
Stochastic Game ◽  
Evolutionary Game ◽  
Response Strategy ◽  
Wireless Sensor ◽  
Game Model

The coordinator is a specific node that controls the whole network and has a significant impact on the performance in cooperative multihop ZigBee wireless sensor networks (ZWSNs). However, the malicious node attacks coordinator nodes in an effort to waste the resources and disrupt the operation of the network. Attacking leads to a failure of one round of communication between the source nodes and destination nodes. Coordinator selection is a technique that can considerably defend against attack and reduce the data delivery delay, and increase network performance of cooperative communications. In this paper, we propose an adaptive coordinator selection algorithm using game and fuzzy logic aiming at both minimizing the average number of hops and maximizing network lifetime. The proposed game model consists of two interrelated formulations: a stochastic game for dynamic defense and a best response policy using evolutionary game formulation for coordinator selection. The stable equilibrium best policy to response defense is obtained from this game model. It is shown that the proposed scheme can improve reliability and save energy during the network lifetime with respect to security.

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