Game theory-based Routing for Wireless Sensor Networks: A Comparative Survey

Habib, Arafat; Moh, Sangman

doi:10.3390/app9142896

Cited by 26 publications

(10 citation statements)

References 69 publications

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“…At present, the application of game theory in WSNs is becoming more and more extensive, mainly being used in energy efficiency, communication security, power control, data acquisition, etc. [16][17][18][19][20]. In recent years, the application of game theory in WSN energy efficiency has achieved particularly remarkable results.…”

Section: Related Workmentioning

confidence: 99%

Game Theory-Based Energy-Efficient Clustering Algorithm for Wireless Sensor Networks

Xiao

Huang

Gan

et al. 2022

Sensors

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Energy efficiency is one of the critical challenges in wireless sensor networks (WSNs). WSNs collect and transmit data through sensor nodes. However, the energy carried by the sensor nodes is limited. The sensor nodes need to save energy as much as possible to prolong the network lifetime. This paper proposes a game theory-based energy-efficient clustering algorithm (GEC) for wireless sensor networks, where each sensor node is regarded as a player in the game. According to the length of idle listening time in the active state, the sensor node can adopt favorable strategies for itself, and then decide whether to sleep or not. In order to avoid the selfish behavior of sensor nodes, a penalty mechanism is introduced to force the sensor nodes to adopt cooperative strategies in future operations. The simulation results show that the use of game theory can effectively save the energy consumption of the sensor network and increase the amount of network data transmission, so as to achieve the purpose of prolonging the network lifetime.

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Section: Related Workmentioning

confidence: 99%

Game Theory-Based Energy-Efficient Clustering Algorithm for Wireless Sensor Networks

Xiao

Huang

Gan

et al. 2022

Sensors

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“…Researchers can divide the game model into the traditional game and Evolutionary Game through the following two key factors when using GT as a tool [16].…”

Section: Related Workmentioning

confidence: 99%

An Optimal Decision Method for Intrusion Detection System in Wireless Sensor Networks With Enhanced Cooperation Mechanism

Xia

et al. 2021

IEEE Access

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When it comes to selecting an optimal defense strategy for an intrusion detection system of a wireless sensor network, such challenges as those brought about by the diversification of the attack methods and the expanded database of the attack patterns have to be dealt with. To overcome those challenges, this paper combines realistic bounded rationality with the incomplete information of the attack-defense players by employing evolutionary game theory as a tool. Firstly, an attack-defense evolutionary game model considering three types of population, in which attackers are subdivided by the source of the threat into external attackers and selfish nodes, is proposed. The sets of player types and the game strategies in our model can be extended from 2× 2 to n× m × l. The sensitivity of the evolutionary population to similar strategies, which reflects the efficiency change in the multi-agent learning process, is depicted by a replicator dynamic equation especially optimized for this purpose by the introduction of an enhanced cooperation mechanism. In essence, an optimal defense strategy selection algorithm is provided by calculating the evolutionary stable equilibrium and a description of the evolutionary trajectory of the players over time is obtained. Moderate security and proactive defense in the form of support decisions have been provided by our method for wireless sensor networks. Experimental results have verified the validity of our method. Moreover, the optimized algorithm has solved the problem that an excessively large database of attack patterns affects the speed of switching to the optimal defense decision strategy and the learning efficiency of the evolutionary game replicator dynamic mechanism is not fast enough.

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“…Game theory has been used in solving various issues in WSNs. These are CH selection for transmitting data to BS, energy efficient route discovery by avoiding malicious nodes, facilitating addition of new member to a cluster, supporting energy imbalance of nodes of variant energy levels 32 . Game theory has been used in other areas in WSNs such as trust modeling, power control, MAC, coverage and topology control, data aggregation, security, and task allocation.…”

Section: Background Work and Motivationmentioning

confidence: 99%

Game theoretic application for energy efficient mobility handling in wireless sensor network

Maheshwari

Sharma

Verma

2020

Trans Emerging Tel Tech

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Wireless sensor network (WSN) are used to sense, process, and send important information relating to surrounding environment. In these network, one of the important issue is timely delivery of packets to destination and thus avoiding packet loss when sensor nodes are mobile. Most of the current research does not allow handling of packets of mobile sensor nodes till next Time‐division multiple access (TDMA) schedule. In this work, we investigate the problem of allocating reserved slots to mobile nodes which come in vicinity of new cluster head in currenTDMAschedule only. We model allocation of reserved slots to mobile nodes as cooperative game. We then propose cooperative coordination scheme to allow cooperation among mobile sensor nodes for accessing of reserved slots with the objective of avoiding unnecessary delay and packet loss in the network. We consider solution for both the cases when reserved slot is limited to 1 and when reserved slots are more than 1. We then propose evolutionary game theory‐based slot allocation scheme for calculation of probability by solving nash equilibrium point. This probability is used by mobile nodes to send data packets to new cluster head. Our scheme avoids end to end delay of packets and network congestion due to buffer overflows. We then present extensive simulation results comparing our scheme with existing techniques. The results show higher performance in terms of average residual energy, network lifetime and packet delivery ratio etc.

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Game theory-based Routing for Wireless Sensor Networks: A Comparative Survey

Cited by 26 publications

References 69 publications

Game Theory-Based Energy-Efficient Clustering Algorithm for Wireless Sensor Networks

Game Theory-Based Energy-Efficient Clustering Algorithm for Wireless Sensor Networks

An Optimal Decision Method for Intrusion Detection System in Wireless Sensor Networks With Enhanced Cooperation Mechanism

Game theoretic application for energy efficient mobility handling in wireless sensor network

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