Abstract
In order to provide more comprehensive network services, a concept of integrated heterogeneous network system was introduced. Until now, lots of researchers have focused on how to efficiently integrate different types of wireless and mobile networks. To exploit the heterogeneous network system operation, an important issue is how to properly manage the network bandwidth. In this study, a new bandwidth management scheme has been proposed by employing the principal-agent game model. Among heterogeneous networks, we have analyzed the asymmetric information situation and developed an effective bandwidth allocation algorithm. Under diverse network condition changes, our principal-agent game approach is essential to provide a suitable tradeoff between conflicting requirements. Simulation results demonstrate that the proposed scheme can obtain a better network performance and bandwidth efficiency than other existing schemes.
Similar content being viewed by others
References
Shen, W., & Zeng, Q.-A. (2008). Resource management schemes for multiple traffic in integrated heterogeneous wireless and mobile networks. In IEEE ICCCN’08, pp. 1–6.
Xue, P., Gong, P., Park, J. H., Park, D., & Kim, D. K. (2012). Radio resource management with proportional rate constraint in the heterogeneous networks. IEEE Transactions on Wireless Communications, 11(3), 1066–1075.
Kim, Kwang Sik, Uno, Shintaro, & Kim, Moo Wan. (2010). Adaptive QoS mechanism for wireless mobile network. JCSE, 4(2), 153–172.
Ferri, F., Grifoni, P., Kondratova, I., D’Ulizia, A., & Caschera, M. C. (2010). Preface for the special issue on mobile and networking technologies for modelling social applications and services. JCSE, 4(1), 52.
Kim, S. (2014). Game theory applications in network design. Hershey: IGI Global.
Kathleen, M. (1989). Eisenhardt, “Agency theory: An assessment and review”. Academy of Management Review, 14, 57–74.
Haptonstahl, S. Competing solutions to the principal-agent model. Working paper. Saint Louis: Washington University, http://www.polmeth.wustl.edu/media/Paper/Haptonstahl2009_PrincipalAgentStatisticalModel.pdf.
Lopez-Benitez, M., & Gozalvez, J. (2011). Common radio resource management algorithms for multimedia heterogeneous wireless networks. IEEE Transactions on Mobile Computing, 10(9), 1201–1213.
Xue, P., Gong, P., Park, J. H., Park, D., & Kim, D. K. (2012). Radio resource management with proportional rate constraint in the heterogeneous networks. IEEE Transactions on Wireless Communications, 11(3), 1066–1075.
Li, L., Li, S., & Zhao, S. (2014). QoS-aware scheduling of services-oriented internet of things. IEEE Transactions on Industrial Informatics, 10(2), 1497–1505.
Zhang, H., Jiang, C., Beaulieu, N. C., Chu, X., Wen, X., & Tao, M. (2014). Resource allocation in spectrum-sharing OFDMA femtocells with heterogeneous services. IEEE Transactions on Communications, 62(7), 2366–2377.
Zhang, H., Jiang, C., Beaulieu, N., Chu, X., Wang, X., & Quek, T. (2015). Resource allocation for cognitive small cell networks: A cooperative bargaining game theoretic approach. IEEE Transactions on Wireless Communications, 14(6), 3481–3493.
Jin, X., Chun, S., Jung, J., & Lee, K.-H. (2014). IoT service selection based on physical service model and absolute dominance relationship. In IEEE SOCA’2014, pp. 65–72.
Lohi, M., Weerakoon, D., & Aghvami, A. H. (1999). Trends in multi-layer cellular system design and handover design. In IEEE wireless communications and networking conference, pp. 898–902.
Ning, G., Zhu, G., Li, Q., & Wu, R. (2006). Dynamic load balancing based on sojourn time in multitier cellular systems. In IEEE vehicular technology conference, pp. 111–116.
Yuan-xiang, J., & Hong-lian, G. (2013). The principal-agent game analysis among accounting firm, enterprise customer and government. In IEEE ICSSSM’2013, pp. 623–627.
Liu, Y. (2010). The game model of logistics finance based on the principal-agent theory. In IEEE ICEEE’2010, pp. 1–4.
Alnwaimi, G., Vahid, S., & Moessner, K. (2015). Dynamic heterogeneous learning games for opportunistic access in lte-based macro/femtocell deployments. IEEE Transactions on Wireless Communications, 14(4), 2294–2308.
Acknowledgments
This research was supported by the MSIP (Ministry of Science, ICT and Future Planning), Korea, under the ITRC (Information Technology Research Center) support program (IITP-2015-H8501-15-1018) supervised by the IITP (Institute for Information & Communications Technology Promotion).
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Kim, S. Heterogeneous network bandwidth management scheme based on the principal-agent game model. Wireless Netw 23, 279–287 (2017). https://doi.org/10.1007/s11276-015-1167-x
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11276-015-1167-x