Repeated Game for Distributed Estimation in Autonomous Clustered Wireless Sensor Networks

A commonly encountered problem in wireless sensor networks (WSNs) applications is to reconstruct the state of nature, that is, distributed estimation of a parameter of interest through WSNs' observations. However, the distributed estimation in autonomous clustered WSNs faces a vital problem of sensors' selfishness. Each sensor autonomously decides whether or not to transmit its observations to the fusion center (FC) and not be controlled by the fusion center (FC) any more. Thus, to encourage cooperation within selfish sensors, infinitely and finitely repeated games are firstly modeled to depict sensors' behaviors. Then, the existences of Nash equilibriums for infinitely and finitely repeated games are discussed. Finally, simulation results show that the proposed Nash equilibrium strategies are effective.

[1]  Zhu Han,et al.  Cooperation enforcement and learning for optimizing packet forwarding in autonomous wireless networks , 2008, IEEE Transactions on Wireless Communications.

[2]  Jiming Chen,et al.  Cross-Layer Optimization of Correlated Data Gathering in Wireless Sensor Networks , 2010, 2010 7th Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks (SECON).

[3]  Martin J. Osborne,et al.  An Introduction to Game Theory , 2003 .

[4]  Jiming Chen,et al.  Novel Deployment Schemes for Mobile Sensor Networks , 2007, Sensors.

[5]  Hongbin Chen,et al.  Decentralized estimation over noisy channels in cluster-based wireless sensor networks , 2012, Int. J. Commun. Syst..

[6]  Jiming Chen,et al.  Mobility and Intruder Prior Information Improving the Barrier Coverage of Sparse Sensor Networks , 2014, IEEE Transactions on Mobile Computing.

[7]  Bugong Xu,et al.  Energy-efficient scheduling of distributed estimation with convolutional coding and rate-compatible punctured convolutional coding , 2011, IET Commun..

[8]  Alejandro Ribeiro,et al.  Bandwidth-constrained distributed estimation for wireless sensor Networks-part I: Gaussian case , 2006, IEEE Transactions on Signal Processing.

[9]  Vikram Srinivasan,et al.  Cooperation in wireless ad hoc networks , 2003, IEEE INFOCOM 2003. Twenty-second Annual Joint Conference of the IEEE Computer and Communications Societies (IEEE Cat. No.03CH37428).

[10]  Jiming Chen,et al.  Maintaining Quality of Sensing with Actors in Wireless Sensor Networks , 2012, IEEE Transactions on Parallel and Distributed Systems.

[11]  Liang Xiao,et al.  On Selfish Behavior in Wireless Sensor Networks: A Game Theoretic Case Study , 2011, 2011 Third International Conference on Measuring Technology and Mechatronics Automation.

[12]  Lei Shu,et al.  Position-based adaptive quantization for target location estimation in wireless sensor networks using one-bit data , 2016, Wirel. Commun. Mob. Comput..

[13]  Mohamed-Slim Alouini,et al.  Distributed Estimation Based on Observations Prediction in Wireless Sensor Networks , 2015, IEEE Signal Processing Letters.

[14]  Yuxin Liu,et al.  Analysis and Improvement of Send-and-Wait Automatic Repeat-reQuest Protocols for Wireless Sensor Networks , 2015, Wirel. Pers. Commun..

[15]  Hua Liu,et al.  Adaptive Quantization for Distributed Estimation in Energy-Harvesting Wireless Sensor Networks: A Game-Theoretic Approach , 2014, Int. J. Distributed Sens. Networks.

[16]  Yonggui Liu,et al.  Distributed estimation based on game theory in energy harvesting wireless sensor networks , 2014, CCC 2014.

[17]  Anfeng Liu,et al.  A novel joint logging and migrating traceback scheme for achieving low storage requirement and long lifetime in WSNs , 2015 .

[18]  Rick S. Blum,et al.  Asymptotically Optimum Distributed Estimation in the Presence of Attacks , 2015, IEEE Transactions on Signal Processing.

[19]  Andrea J. Goldsmith,et al.  Power scheduling of universal decentralized estimation in sensor networks , 2006, IEEE Transactions on Signal Processing.

[20]  Jiming Chen,et al.  Energy-Efficient Probabilistic Area Coverage in Wireless Sensor Networks , 2015, IEEE Transactions on Vehicular Technology.

[21]  Ariel Rubinstein,et al.  A Course in Game Theory , 1995 .

[22]  Hongbin Chen,et al.  Adaptive quantization for distributed estimation in cluster-based wireless sensor networks , 2014 .