Main Article Content

Abstract

Cognitive Radio (CR) technology is imagined to solve the problems in Wireless Ad-hoc NETworks (WANET) resulting from the limited available spectrum and the inefficiency in the spectrum usage by exploiting the existing wireless spectrum opportunistically. Game theory is a process to analyze multi-person decision making situation, where each decision maker tries to maximize his own utility. In this paper, we illustrates how various interactions in Cognitive Radio Ad Hoc Network (CRAHN) can be modeled as a game. It also illustrates a problem with solution approach that uses intelligent game theory technique in CRAHN.

Keywords

Cognitive radio Cognitive radio ad-hoc network Game theory Players

Article Details

How to Cite
Kumar, A., Kumar, A., & Burnwal, A. P. (2017). APPLICATION OF INTELLIGENT GAME THEORY APPROACH IN COGNITIVE RADIO AD HOC NETWORKS. International Journal of Students’ Research in Technology & Management, 5(4), 66–71. https://doi.org/10.18510/ijsrtm.2017.549

References

    [1] A. Kumar, R. K. Sharma, and A. Burnwal, “Energy Consumption Model in Wireless Ad-hoc Networks using Fuzzy Set Theory,” Global Journal of Advanced Research, 2015, vol. 2, no. 2, pp. 419-426.
    [2] S. K. Das, A. Kumar, B. Das, and A. Burnwal, “Ethics of reducing power consumption in wireless sensor networks using soft computing techniques,” International Journal of Advanced Computer Research, 2013, vol. 3, no. 1, pp. 301-304.
    [3] S. K. Das, B. Das, and A. Burnwal, “Intelligent energy competency routing scheme for wireless sensor networks”, International Journal of Research in Computer Applications and Robotics (IJRCAR), 2014, vol. 2, no. 3, pp. 79-84.
    [4] S. K. Das, S. Tripathi, and A. Burnwal, “Design of fuzzy based intelligent energy efficient routing protocol for WANET,” in Computer, Communication, Control and Information Technology (C3IT), 2015 Third International Conference on, IEEE, 2015, pp. 1-4, DOI: 10.1109/C3IT.2015.7060201.
    [5] S. K. Das, S. Tripathi, and A. Burnwal, “Intelligent energy competency multipath routing in wanet,” in Information Systems Design and Intelligent Applications, Springer, 2015, pp. 535-543, DOI: 10.1007/978-81-322-2250-7_53.
    [6] S. K. Das, A. Kumar, B. Das, and A. Burnwal, “Ethics of E-Commerce in Information and Communications Technologies,” International Journal of Advanced Computer Research, 2013, vol. 3, no. 1, pp. 122-124, doi=10.1.1.300.9397.
    [7] A. Burnwal, A. Kumar, and S. K. Das, “Assessment of mathematical modeling in different areas,” International Journal of Advanced Technology & Engineering Research, 2013, vol. 3, no. 3, pp. 23–26.
    [8] A. Burnwal, A. Kumar, and S. K. Das, “Survey on application of artificial intelligence techniques,” International Journal of Engineering Research & Management, 2014, vol. 1, no. 5, pp. 215–219.
    [9] J. Barbancho, C. Leon,´ F. J. Molina, and A. Barbancho, “Using artificial intelligence in routing schemes for wireless networks,” Computer Communications, 2007, vol. 30, no. 14, pp. 2802–2811.
    [10] S. K. Das, S. Tripathi, and A. Burnwal, “Some relevance fields of soft computing methodology,” International Journal of Research in Computer Applications and Robotics, 2014, vol. 2, pp. 1-6.
    [11] S. K. Das, A. Kumar, B. Das, and A. Burnwal, “On soft computing techniques in various areas,” Computer Science & Information Technology (CS & IT), 2013, vol. 3, pp. 59-68, DOI : 10.5121/csit.2013.3206.
    [12] S. Sharma, S. Kumar, and B. Singh, “Routing in wireless mesh networks: Two soft computing based approaches,” arXiv preprint arXiv:1307.3004, 2013.
    [13] A. Burnwal, A. Kumar, and S. K. Das, “Assessment of fuzzy set theory in different paradigm,” International Journal of Advanced Technology & Engineering Research, 2013, vol. 3, no. 3, pp. 16–22.
    [14] S. K. Das and S. Tripathi, “Energy Efficient Routing Protocol for MANET Using Vague Set,” in Proceedings of Fifth International Conference on Soft Computing for Problem Solving, Springer, 2016, pp. 235-245, DOI: 10.1007/978-981-10-0448-3_19.
    [15] B. K. Mishra, B. Yadav, S. Jha, and A. Burnwal, “Fuzzy set theory approach to model super abrasive grinding process using weighted compensatory operator,” International Journal of Research in Computer Applications and Robotics, 2015, Vol. 3, no. 5, pp. 62-68.
    [16] A. Burnwal, S. Mukherjee, and D. Singh, “An additive model of fuzzy geometric programming,” Mathematics Education India, 2000, vol. 34, no. 1, pp. 25–29.
    [17] C. Mart´ınez-Cruz, J. M. Noguera, and M. A. Vila, “Flexible queries on relational databases using fuzzy logic and ontologies,” Information Sciences, 2016, vol. 366, pp. 150–164.
    [18] S. Murmu, S. Jha, A. Burnwal, and V. Kumar, “A proposed fuzzy logic based system for predicting surface roughness when turning hard faced components,” International Journal of Computer Applications, 2015, vol. 125, no. 4.
    [19] S. K. Das, S. Tripathi, and A. Burnwal, “Fuzzy based energy efficient multicast routing for ad-hoc network,” in Computer, Communication, Control and Information Technology (C3IT), 2015 Third International Conference on, IEEE, 2015, pp. 1-5, DOI: 10.1109/C3IT.2015.7060126.
    [20] S. K. Das and S. Tripathi, “Energy efficient routing protocol for manet based on vague set measurement technique,” Procedia Computer Science, 2015, vol. 58, pp. 348-355, doi:10.1016/j.procs.2015.08.030.
    [21] S. K. Das, A. K. Yadav and S. Tripathi, “IE2M: Design of intellectual energy efficient multicast routing protocol for ad-hoc network,” Peer-to-Peer Networking and Applications, 2016, pp. 1-18, DOI 10.1007/s12083-016-0532-6.
    [22] S. K. Das and S. Tripathi, “Intelligent energy-aware efficient routing for MANET,” Wireless Networks, 2016, pp. 1-21, DOI 10.1007/s11276-016-1388-7.

Most read articles by the same author(s)

1 2 > >>