A Game Theory Approach to Detect Malicious Nodes in Wireless Sensor Networks

2009 ◽  
Author(s):  
Yenumula B. Reddy
Keyword(s):  
Game Theory ◽  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Wireless Sensor ◽  
Theory Approach ◽  
Malicious Nodes

scholarly journals GTRF: A Game Theory Approach for Regulating Node Behavior in Real-Time Wireless Sensor Networks

Sensors ◽  
2015 ◽  
Vol 15 (6) ◽  
pp. 12932-12958 ◽  
Author(s):  
Chi Lin ◽  
Guowei Wu ◽  
Poria Pirozmand
Keyword(s):  
Game Theory ◽  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Real Time ◽  
Wireless Sensor ◽  
Theory Approach

Applying Game Theory in Securing Wireless Sensor Networks by Minimizing Battery Usage

Game Theory ◽  
2017 ◽  
pp. 337-352
Author(s):  
Mehran Asadi ◽  
Afrand Agah ◽  
Christopher Zimmerman
Keyword(s):  
Game Theory ◽  
Wireless Sensor Networks ◽  
Wireless Sensor Network ◽  
Sensor Networks ◽  
Sensor Network ◽  
Wireless Sensor ◽  
Malicious Nodes ◽  
Network Nodes ◽  
Voltage Loss ◽  
History Of

In this chapter, the authors examine the impacts of applying game theory on the network throughput, network voltage loss, and accuracy of malicious node detection in wireless sensor networks. Nodes in a wireless sensor network use our proposed protocol when deciding whether or not to forward packets they receive from other sensors in order to conserve power. Wireless sensor network nodes achieve this by optimizing their decision-making based on a framework using game theory. Defining a suitable cost and profit for routing and forwarding incoming packets and keeping a history of past behaviors of non-cooperating nodes gradually forces malicious nodes out of the wireless sensor network.In this chapter, the authors examine the impacts of applying game theory on the network throughput, network voltage loss, and accuracy of malicious node detection in wireless sensor networks. Nodes in a wireless sensor network use our proposed protocol when deciding whether or not to forward packets they receive from other sensors in order to conserve power. Wireless sensor network nodes achieve this by optimizing their decision-making based on a framework using game theory. Defining a suitable cost and profit for routing and forwarding incoming packets and keeping a history of past behaviors of non-cooperating nodes gradually forces malicious nodes out of the wireless sensor network.

Applying Game Theory in Securing Wireless Sensor Networks by Minimizing Battery Usage

2014 ◽  
pp. 58-73
Author(s):  
Mehran Asadi ◽  
Afrand Agah ◽  
Christopher Zimmerman
Keyword(s):  
Game Theory ◽  
Wireless Sensor Networks ◽  
Wireless Sensor Network ◽  
Sensor Networks ◽  
Sensor Network ◽  
Wireless Sensor ◽  
Malicious Nodes ◽  
Network Nodes ◽  
Voltage Loss ◽  
History Of

In this chapter, the authors examine the impacts of applying game theory on the network throughput, network voltage loss, and accuracy of malicious node detection in wireless sensor networks. Nodes in a wireless sensor network use our proposed protocol when deciding whether or not to forward packets they receive from other sensors in order to conserve power. Wireless sensor network nodes achieve this by optimizing their decision-making based on a framework using game theory. Defining a suitable cost and profit for routing and forwarding incoming packets and keeping a history of past behaviors of non-cooperating nodes gradually forces malicious nodes out of the wireless sensor network.In this chapter, the authors examine the impacts of applying game theory on the network throughput, network voltage loss, and accuracy of malicious node detection in wireless sensor networks. Nodes in a wireless sensor network use our proposed protocol when deciding whether or not to forward packets they receive from other sensors in order to conserve power. Wireless sensor network nodes achieve this by optimizing their decision-making based on a framework using game theory. Defining a suitable cost and profit for routing and forwarding incoming packets and keeping a history of past behaviors of non-cooperating nodes gradually forces malicious nodes out of the wireless sensor network.

scholarly journals A Game Theory Based Approach for Routing in Wireless Sensor Networks

2011 ◽  
Vol 2-3 ◽  
pp. 599-603 ◽  
Author(s):  
Feng Yun Li ◽  
Fu Xiang Gao ◽  
Lan Yao ◽  
Gui Ran Chang
Keyword(s):  
Game Theory ◽  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Routing Protocols ◽  
Wireless Sensor ◽  
Limited Resources ◽  
Malicious Nodes ◽  
Security Issues ◽  
Simulation Results ◽  
Malicious Behaviors

Aiming at the limited resources and the security issues in wireless sensor networks, a routing approach is proposed. In this approach, the factors of reputation, remaining energy, and the distance to the destination are taken into considered while searching a routing path from an original sender node to the destination. A reputation-based mechanism is also proposed, and a node’s reputation depends on its behaviors. The malicious behaviors nodes will be punished and isolated, and the cooperative ones will be rewarded. Simulation results show that our proposed routing scheme can prolong the lifetime of the network and can offers a relatively high throughput than other routing protocols even when there are malicious nodes in the networks.

scholarly journals An energy-balance and game-theory-based cluster formation method for wireless sensor networks

2017 ◽  
Vol 13 (8) ◽  
pp. 155014771772079 ◽  
Author(s):  
Xuegang Wu ◽  
Xiaoping Zeng ◽  
Bin Fang ◽  
Liu Yang ◽  
Wei Zhang
Keyword(s):  
Game Theory ◽  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Energy Balance ◽  
Routing Protocols ◽  
Clustering Algorithm ◽  
Wireless Sensor ◽  
Theory Approach ◽  
Cluster Heads ◽  
Cluster Based Routing

Clustering techniques in wireless sensor networks have been widely utilized for their good performance in reducing energy dissipation and prolonging network lifetime. Once the cluster heads have been decided, the allocation of member nodes in the cross coverages formed by two or more clusters is critical to keep an energy balance on the cluster heads. In earlier studies, however, the allocation of member nodes simply depends on the distance or degree (the node number within the cluster heads’ communication radius) and, therefore, could cause imbalance to the cluster heads’ load and further degrade the whole wireless sensor network. To maintain the load balance of the cluster heads, in this article, game theory is introduced into the allocation problem of the member nodes. Before using the game theory approach, the number and distribution of cluster heads are first checked. If the cover rate of the cluster heads is low, then the node(s) uncovered by any cluster are randomly selected as new cluster head(s) to attain the cover rate required in the article. Furthermore, the number of cluster heads in a monitoring region is restricted. Finally, a game-based, energy-balance method is proposed and applied in the cluster-based routing protocols to improve their performance. For verification, the proposed method is embedded into the localized game theoretical clustering algorithm and hybrid, game theory–based and distributed clustering algorithm, which are two game theory and typical cluster-based routing protocols. The experimental results show that both of the improved protocols do balance the loads of the cluster heads and achieve better performance than their original versions in spanning the lifetime and balancing the energy in wireless sensor networks.

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