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Development of Game Theory Strategy for Estimating Mobility Variety in Approaching Wireless Networks

  1. Ancy.M Dr. M.G.R. Educational and Research institute
  2. Vijayaprabhu A. , Sri Venkateswara College of engineering and technology
  3. Gopalakrishnan S Siddhartha Institute of Technology and Sciences

Abstract

Game theory designed with a set of structured tools with an evaluation tool for the tedious interaction among logical players. This theory approaches for analyzing of communication networks, which functions with autonomous structured networks and the designed network devices can take rational decisions according to network congestion. The proposed structure consists of mixture frame for channel allocation for random probability for accessing channel. The main objective of this work is to reduce the cost of wireless access while satisfying the quality-of-service requirements thereby developing a game theoretic model and also to estimate both the stable coalitional structure and the optimal channel access policy from the game model. Then the average cost of optimal and stable coalitional structure is compared with the dominant coalitional structures which achieves the lowest average cost.

Keywords

References (24)

  1. Islam KY, Ahmad I, Habibi D, Waqar A. A survey on energy efficiency in underwater wireless communications. Journal of Network and Computer Applications. 2022;198:103295. doi:10.1016/j.jnca.2021.103295
  2. Fahad A. Rida J. WITHDRAWN: Development of a remote health care wireless sensor network based on wireless spread spectrum communication networks. Materials Today: Proceedings. 2021. doi:10.1016/j.matpr.2021.02.534
  3. Ahmed MM, Ganguly A, Vashist A, Pudukotai Dinakarrao SM. AWARe-Wi: A jamming-aware reconfigurable wireless interconnection using adversarial learning for multichip systems. Sustainable Computing: Informatics and Systems. 2021;29:100470. doi:10.1016/j.suscom.2020.100470
  4. Ometov A, Shubina V, Klus L, Skibińska J, Saafi S, Pascacio P, et al. A Survey on Wearable Technology: History, State-of-the-Art and Current Challenges. Computer Networks. 2021;193:108074. doi:10.1016/j.comnet.2021.108074
  5. Abbasi M, Shahraki A, Jalil Piran M, Taherkordi A. Deep Reinforcement Learning for QoS provisioning at the MAC layer: A Survey. Engineering Applications of Artificial Intelligence. 2021;102:104234. doi:10.1016/j.engappai.2021.104234
  6. Memon SK, Sarkar NI, Al-Anbuky A, Hossain MA. Preemptive admission control mechanism for strict QoS guarantee to life-saving emergency traffic in wireless LANs. Journal of Network and Computer Applications. 2022;199:103318. doi:10.1016/j.jnca.2021.103318
  7. Sahin B, Yazir D, Soylu A, Yip TL. Improved fuzzy AHP based game-theoretic model for shipyard selection. Ocean Engineering. 2021;233:109060. doi:10.1016/j.oceaneng.2021.109060
  8. Abid K, Lakhlef H, Bouabdallah A. A survey on recent contention-free MAC protocols for static and mobile wireless decentralized networks in IoT. Computer Networks. 2021;201:108583. doi:10.1016/j.comnet.2021.108583
  9. Al-Sharaeh SH. Dynamic rate-based borrowing scheme for QoS provisioning in high speed multimedia wireless cellular networks. Applied Mathematics and Computation. 2006;179(2):714-724. doi:10.1016/j.amc.2005.11.119
  10. Ghasemi P, Goodarzian F, Muñuzuri J, Abraham A. A cooperative game theory approach for location-routing-inventory decisions in humanitarian relief chain incorporating stochastic planning. Applied Mathematical Modelling. 2022;104:750-781. doi:10.1016/j.apm.2021.12.023
  11. Alizadeh Bidgoli M, Ahmadian A. Multi-stage optimal scheduling of multi-microgrids using deep-learning artificial neural network and cooperative game approach. Energy. 2022;239:122036. doi:10.1016/j.energy.2021.122036
  12. Pourpeighambar B, Dehghan M, Sabaei M. Non-cooperative reinforcement learning based routing in cognitive radio networks. Computer Communications. 2017;106:11-23. doi:10.1016/j.comcom.2017.02.013
  13. Wang H, Zhang C, Li K, Ma X. Game theory-based multi-agent capacity optimization for integrated energy systems with compressed air energy storage. Energy. 2021;221:119777. doi:10.1016/j.energy.2021.119777
  14. Noura M, Nordin R. A survey on interference management for Device-to-Device (D2D) communication and its challenges in 5G networks. Journal of Network and Computer Applications. 2016;71:130-150. doi:10.1016/j.jnca.2016.04.021
  15. Basso F, Basso LJ, Rönnqvist M, Weintraub A. Coalition formation in collaborative production and transportation with competing firms. European Journal of Operational Research. 2021;289(2):569-581. doi:10.1016/j.ejor.2020.07.039
  16. Tushar W, Saha TK, Yuen C, Morstyn T, McCulloch MD, Poor HV, et al. A motivational game-theoretic approach for peer-to-peer energy trading in the smart grid. Applied Energy. 2019;243:10-20. doi:10.1016/j.apenergy.2019.03.111
  17. Delaram J, Houshamand M, Ashtiani F, Fatahi Valilai O. A utility-based matching mechanism for stable and optimal resource allocation in cloud manufacturing platforms using deferred acceptance algorithm. Journal of Manufacturing Systems. 2021;60:569-584. doi:10.1016/j.jmsy.2021.07.012
  18. Ishida Y, Ikeno S. Asymmetry of Strategies in Proposal: Gale-Shapley Algorithm on Diagrams. Procedia Computer Science. 2016;96:1730-1739. doi:10.1016/j.procs.2016.08.221
  19. V Varagapriya, Singh VV, Lisser A. Constrained Markov decision processes with uncertain costs. Operations Research Letters. 2022;50(2):218-223. doi:10.1016/j.orl.2022.02.001
  20. Melo Moreira DA, Valdivia Delgado K, Nunes de Barros L, Deratani Mauá D. Efficient algorithms for Risk-Sensitive Markov Decision Processes with limited budget. International Journal of Approximate Reasoning. 2021;139:143-165. doi:10.1016/j.ijar.2021.09.003
  21. Iftikhar M, Landfeldt B, Zeadally S, Zomaya A. Service level agreements (SLAs) parameter negotiation between heterogeneous 4G wireless network operators. Pervasive and Mobile Computing. 2011;7(5):525-544. doi:10.1016/j.pmcj.2011.02.008
  22. Sikeridis D, Tsiropoulou EE, Devetsikiotis M, Papavassiliou S. Wireless powered Public Safety IoT: A UAV-assisted adaptive-learning approach towards energy efficiency. Journal of Network and Computer Applications. 2018;123:69-79. doi:10.1016/j.jnca.2018.09.003
  23. Roy A, Sarma N. A synchronous duty-cycled reservation based MAC protocol for underwater wireless sensor networks. Digital Communications and Networks. 2021;7(3):385-398. doi:10.1016/j.dcan.2020.09.002
  24. Pianini D, Casadei R, Viroli M, Natali A. Partitioned integration and coordination via the self-organising coordination regions pattern. Future Generation Computer Systems. 2021;114:44-68. doi:10.1016/j.future.2020.07.032
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