Abstract
There are very few studies using the multi agent concept as an alternative and efficient approach for bandwidth management. The goal of the paper is to propose a novel modelling methodology of wireless network services exploiting multi-agent technology and investigating in depth critical implementation issues of multi-threading techniques focused on network agents. Moreover, it is claimed that an advanced negotiation scheme between network service agents can lead to better model network performance. Thus, the multi agent concept seems a suitable solution for modelling and implementing cellular services simulation. The proposed agent based modelling as well as the proposed implementation methodology of the wireless services are herein presented in three levels; (a) multi agent modelling of the wireless services, (b) developing an advanced negotiation scheme based on current status and curve statistics of network performance and (c) investigating critical multi threading based implementation issues of the suggested multi agent modelling. Finally, simulation results show the effectiveness of the proposed multi agent approach as well as of the proposed negotiation scheme based on blocking and dropping probability curve statistics.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Zhang, M., Yum, T.S.: Comparisons of Channel Assignment Strategies in Cellular Mobile Telephone Systems. IEEE Tran. Vehicular Technology 38(4), 211–215 (1989)
Lai, W.K., Coghill, G.C.: Channel Assignment through Evolutionary Optimization. IEEE Tran. Vehicular Technology 45(1), 91–96 (1996)
MacDonald, V.H.: The cellular Concepts. The Bell System Tech. Journal 58, 15–42 (1979)
Elnoubi, S.M., Singh, R., et al.: A New Frequency Channel Assignment Algorithm in High Capacity Mobile Communication Systems. IEEE Tran. Vehicular Tech. VT-21(3), 125–131 (1982)
Xu, Z., Mirchandani, P.B.: Virtually Fixed Channel Assignment for Cellular Radio-Telephone Systems: A Model and Evaluation. In: IEEE Int. Conf. Communications, ICC 1992, vol. 2, pp. 1037–1041 (1992)
Cimini, L.J., Foschini, G.J.: Distributed Algorithms for Dynamic Channel Allocation in Microcellular Systems. In: IEEE Vehicular Technology Conference, pp. 641–644 (1992)
Cox, D.C., Reudink, D.O.: Increasing Channel Occupancy in Large Scale Mobile Radio Systems: Dynamic Channel Reassignment. IEEE Tran. Vehicular Tech. VT-22, 218–222 (1973)
Del Re, E., Fantacci, R., et al.: A Dynamic Channel Allocation Technique based on Hopfield Neural Networks. IEEE Tran. Vehicular Technology VT-45(1), 26–32 (1996)
Sivarajan, K.N., McEliece, R.J., Ketchum, J.W.: Dynamic Channel Assignment in Cellular Radio. In: IEEE 40th Vehicular Technology Conference, pp. 631–637 (1990)
Kahwa, T.J., Georgans, N.D.: A Hybrid Channel Assignment Schemes in Large-Scale, Cellular Structured Mobile Communication Systems. IEEE Tran. Comm. 26, 432–438 (1978)
Splunter, S., Wijngaards, N., et al.: Structuring Agents for Adaptation. In: Alonso, E., Kudenko, D., Kazakov, D. (eds.) AAMAS 2000 and AAMAS 2002. LNCS (LNAI), vol. 2636, pp. 174–186. Springer, Heidelberg (2003)
Russell, S., Norvig, P.: Artificial Intelligence: A Modern Approach, 2nd edn. Prentice-Hall, Englewood Cliffs (2002)
Huhns, M., Singh, M. (eds.): Agents and Multiagent Systems: Themes, Approaches, and Challenges. Readings in Agents, ch. 1, pp. 1–23. Morgan Kaufmann Publishers, San Francisco (1998)
Norman, T., Long, D.: Goal Creation in Motivated Agents. In: Wooldridge, M.J., Jennings, N.R. (eds.) ECAI 1994 and ATAL 1994. LNCS, vol. 890, Springer, Heidelberg (1995)
Ekdahl, B.: How Autonomous is an Autonomous Agent? In: SCI 2001, July 22-25, 2001, Orlando (2001)
Hayzelden, A., et al.: S/W Agents for Future Communication Systems. Springer, Heidelberg (1999)
Iraqi, Y., Boutaba, R.: A Multi-agent System for Resource Management. In: Ambler, A.P., Calo, S.B., Kar, G. (eds.) DSOM 2000. LNCS, vol. 1960, pp. 218–229. Springer, Heidelberg (2000)
Bigham, J., Du, L.: Cooperative Negotiation in a MultiAgent System for Real Time Load Balancing of a Mobile Cellular Network. In: AAMAS 2003, July 14–18 (2003)
Bodanese, E.L.: A Distributed Channel Allocation Scheme for Cellular Networks using Intelligent Software Agents, PhD thesis, University of London (2000)
Oaks, S., et al.: Java Threads, 3rd edn. O’Reilly, Sebastopol (2004)
Kramer, J.M.: Concurrency: State Models & Java Programs, 2nd edn. John Wiley & Sons, Chichester (2006)
Lindsey, C.S., et al.: An Introduction to Scientific and Technical Computing with java. Cambridge University Press, Cambridge (2005)
Papazoglou, P.M., Karras, D.A., et al.: A Multi-agent Architecture for Designing and Simulating Large Scale Wireless Systems Resource Allocation. In: Nguyen, N.T., Grzech, A., Howlett, R.J., Jain, L.C. (eds.) KES-AMSTA 2007. LNCS (LNAI), vol. 4496, pp. 405–415. Springer, Heidelberg (2007)
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2008 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Papazoglou, P.M., Karras, D.A., Papademetriou, R.C. (2008). On the Multi-threading Approach of Efficient Multi-agent Methodology for Modelling Cellular Communications Bandwidth Management. In: Nguyen, N.T., Jo, G.S., Howlett, R.J., Jain, L.C. (eds) Agent and Multi-Agent Systems: Technologies and Applications. KES-AMSTA 2008. Lecture Notes in Computer Science(), vol 4953. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-78582-8_44
Download citation
DOI: https://doi.org/10.1007/978-3-540-78582-8_44
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-78581-1
Online ISBN: 978-3-540-78582-8
eBook Packages: Computer ScienceComputer Science (R0)