The Reliable Energy Efficient Routing Protocol Based on Cooperative and Non-Cooperative Repeated Game Theory in Wireless Sensor Networks

Authors(2) :-Dr. V. Vinoba, S. Sridevi

Game theory is a field of applied mathematics for analysing complex interactions among entities. It is basically a collection of analytic tools that enables distributed decision process. Game theory (GT) provides insights into any economic, political, or social situation that involves individuals with different preferences. GT is used in economics, political science and biology to model competition and cooperation among entities, and the role of threats/penalties in long term relations. Contemporary social science is based on game theory, economics, and psychology in which mathematical logic is applied. The formation of coalitions and non-coalitional or alliances is omnipresent in many applications. For example, in political games, parties, or individuals can form coalitions and non-coalitional for improving their voting power. Recently, computer science and engineering have been added to the list of scientific areas applying GT. While in optimization theory the goal is to optimize a single objective over one decision variable, game theory studies multi-agent decision problems. In social sciences and economics, the focus of game is the design of right motivations/payoffs; in engineering it comes to efficiency – how to design efficient decentralized schemes that take into account incentives. However, there are still similarities when applying game theory to different disciplines

Authors and Affiliations

Dr. V. Vinoba
Department of Mathematics, K.N. Government Arts College, Thanjavur, Tamil Nadu, India
S. Sridevi
Department of Mathematics, K.N. Government Arts College, Thanjavur, Tamil Nadu, India

Game theory, transferable utility, non-transferable utility, TU, Saad, NTU

  1. Agah A and Das S K (2007), "Preventing DoS Attacks in Wireless Sensor Networks: A Repeated Game Theory Approach”, I. J. Network Security, Vol. 5, pp. 145-153.
  2. Akyildiz I F, Su W, Sankarasubramaniam Y and Cayirci E (2002), "A Survey on Sensor Networks”, Communications M a g a zi n e , I E E E , Vo l . 4 0 , N o . 8 , pp. 102-114.
  3. Chen X, Yin Y and Xu Z (2013), "A Game-T h e o re t ic A p p ro a ch f o r E ff icie n t Clustering in Wireless  Sensor Networks in Co m p ut a t ion a l a nd I n f o r m a t io n Sciences (ICCIS)”, 5 th International Conference, IEEE, pp. 1663-1666.
  4. Kansal, J. Hsu, S. Zahedi and M. Srivastava, "Power Management in Energy Harvesting Sensor Networks”, in ACM Trans. on Embedded
  5. Computing Systems, Vol. 6, No. 4, 2007.
  6. Deshpande, C. Guestrin, S. Madden, J. M. Hellerstein and W. Hong,"Model-Driven Data Acquisition in Sensor Networks, in Proc.
  7. Internat. Conf. on Very Large Data Bases (VLDB), Toronto, Canada, 29 Aug.-3 Sept. 2004.
  8. B. Gedik, L. Liu and P. S. Yu, "ASAP: An Adaptive Sampling Approach to Data Collection in Sensor Networks, in IEEE Trans. Parallel
  9. Distributed Systems, Vol. 18, No. 12, Dec. 2007.
  10. Strauss, R.; Abedi, A. Game theoretic power allocation in sparsely distributed clusters of wireless
  11. sensors (GPAS). In Proceedings of the 2009 International Conference on Wireless Communications and Mobile Computing: Connecting the World Wirelessly, Leipzig, Germany, 21-24 June 2009; pp. 1454-1458.
  12. Minh Hanh, N.; Krishnamurthy, V. Game theoretic optimal transmission strategies in multipacket reception sensor networks. In Proceedings of 2005 39th Asilomar Conference on Signals, Systems and Computer, Pacific Grove, CA, USA, 30 October-2 November 2005.
  13. Sengupta, S.; Chatterjee, M. Distributed power control in sensor networks: A game theoretic approach. In Proceedings of 2004 6th International Workshop on Distributed Computing, Kolkata, India, 27-30 December 2004.
  14. Chen, J.; Du, R. Fault tolerance and security in forwarding packets using game theory. In Proceedings of the 2009 International Conference on Multimedia Information Networking and Security (MINES 2009), Hubei, China, 17-20 November 2009.
  15. Behzadan, A.; Anpalagan, A.; Ma, B. Prolonging network lifetime via nodal energy balancing in heterogeneous wireless sensor networks. In Proceedings of 2011 IEEE International Conference on Communications, Kyoto, Japan, 5-9 June 2011.

Publication Details

Published in : Volume 2 | Issue 4 | July-August 2017
Date of Publication : 2017-08-31
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 658-666
Manuscript Number : CSEIT1724173
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Dr. V. Vinoba, S. Sridevi, "The Reliable Energy Efficient Routing Protocol Based on Cooperative and Non-Cooperative Repeated Game Theory in Wireless Sensor Networks ", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 2, Issue 4, pp.658-666, July-August-2017.
Journal URL : http://ijsrcseit.com/CSEIT1724173

Article Preview

Follow Us

Contact Us