Application of Game Theory Principles for Opportunistic Routing in MANETS

Year : 2024 | Volume :02 | Issue : 01 | Page : 1-8
By

Mangadevi Atti

Manas Kumar Yogi

  1. Assistant Professor Information Technology Department, Pragati Engineering College (Autonomous), Surampalem Andhra Pradesh India
  2. Assistant Professor Computer Science and Engineering Department, Pragati Engineering College (Autonomous), Surampalem Andhra Pradesh India

Abstract

This article explores the application of game theory principles to enhance opportunistic routing in mobile ad hoc networks (MANETs). MANETs are characterized by their dynamic topology, limited resources, and lack of infrastructure, making traditional routing protocols less efficient. Opportunistic routing leverages the mobility of nodes and the broadcast nature of wireless communication to achieve reliable message delivery. However, existing opportunistic routing algorithms may suffer from challenges such as high message loss rates and excessive overhead. By incorporating game theory principles, such as strategic decision-making and incentive mechanisms, into the routing process, this research aims to improve the performance and efficiency of opportunistic routing in MANETs. The proposed approach enables nodes to strategically decide when and where to forward messages based on their own utility functions, network conditions, and interactions with other nodes. Through simulation studies and performance evaluations, the effectiveness of the game theory–based opportunistic routing algorithm is demonstrated in terms of packet delivery ratio, end-to-end latency, and overhead reduction. The results highlight the potential of game theory to address the inherent uncertainties and dynamics of MANETs, leading to more robust and adaptive routing solutions.

Keywords: Game theory, mobile ad hoc networks (MANETs), routing, congestion, network traffic

[This article belongs to International Journal of Mobile Computing Technology(ijmct)]

How to cite this article: Mangadevi Atti, Manas Kumar Yogi. Application of Game Theory Principles for Opportunistic Routing in MANETS. International Journal of Mobile Computing Technology. 2024; 02(01):1-8.
How to cite this URL: Mangadevi Atti, Manas Kumar Yogi. Application of Game Theory Principles for Opportunistic Routing in MANETS. International Journal of Mobile Computing Technology. 2024; 02(01):1-8. Available from: https://journals.stmjournals.com/ijmct/article=2024/view=145517

References

  1. Li L, Wang H, Liu Z, Ye H. GIR: an opportunistic network routing algorithm based on game theory. IEEE Access. 2020; 8: 201158–201172.
  2. Khan BUI, Anwar F, Olanrewaju RF, Pampori BR, Mir RN. A game theory-based strategic approach to ensure reliable data transmission with optimized network operations in futuristic mobile adhoc networks. IEEE Access. 2020; 8: 124097–124109.
  3. Habib MA, Moh S. Game theory-based routing for wireless sensor networks: a comparative survey. Appl Sci. 2019; 9 (14): 2896.
  4. Tran TN, Nguyen T-V, Shim K, An B. A game theory based clustering protocol to support multicast routing in cognitive radio mobile ad hoc networks. IEEE Access. 2020; 8: 141310–141330.
  5. Khan BUI, Anwar F, Olanrewaju RF, Kiah MLBM, Mir RN. Game theory analysis and modeling of sophisticated multi-collusion attack in MANETs. IEEE Access. 2021; 2021: 61778–61792.
  6. Ryu J, Kim S. Reputation-based opportunistic routing protocol using Q-learning for MANET attacked by malicious nodes. IEEE Access. 2023; 11: 47701–47711.
  7. Chakchouk N. A survey on opportunistic routing in wireless communication networks. IEEE Commun Surv Tutorials. 2015; 17 (4): 2214–2241.
  8. Li Y, Wang Z, Wang Q, Fan Q. A new adaptive multipath routing algorithm based on game theory for ad hoc networks. J High Speed Netw. 2018; 24 (4): 297–310.
  9. Mumtaz S, Gameiro A. Game theory in wireless ad-hoc opportunistic radios. In: Huang Q, editor. Game Theory. London, UK: IntechOpen Ltd; 2010. pp. 41–49.
  10. Wu D, Cao J, Ling Y, Liu J, Sun L. Routing algorithm based on multi-community evolutionary game for VANET. J Netw. 2012; 7 (7): 1106–1115.
  11. Dalal R, Khari M, Anzola JP, García-Díaz V. Proliferation of opportunistic routing: a systematic review. IEEE Access. 2021; 10: 5855–5883.
  12. Saifullah ZR Ren D. PR-BBGT: a probabilistic routing protocol based on bilateral bargaining game theory for oppnets. In: Proceedings of the 5th International Conference on Communication and Information Processing, Chongqing, China, November 15–17, 2019. pp. 49–53.
  13. Sobin CC, Raychoudhury V, Saha S. An incentive-based scheme for mitigating node selfishness in smart opportunistic mobile networks. Wireless Pers Commun. 2017; 96: 3533–3551.
  14. Xu Y, Liu J, Shen Y, Liu J, Jiang X, Taleb T. Incentive jamming-based secure routing in decentralized internet of things. IEEE Internet Things J. 2020; 8 (4): 3000–3013.

Regular Issue Subscription Review Article
Volume 02
Issue 01
Received March 4, 2024
Accepted March 19, 2024
Published May 8, 2024