|
ABSTRACT
A “Smart Spaces System”, called MITOS, for improved user connectivity in large wireless LAN installations is proposed. MITOS extends the scope of resource management to the dynamic relocation of nomadic users: the system suggests to a user the best location to move to for obtaining a satisfactory quality of service level, when the controlling access point of its current location becomes congested. The system monitors the traffic and user location across the network, and formulates the appropriate relocation proposal urging specific users to move to better locations at reasonable distances. Two enhancements to the basic MITOS system are introduced for maintaining an almost uniform load level across the considered infrastructure: the first uses microeconomic concepts, while the second borrows game theoretic mechanisms from the Santa Fe Bar problem. Simulation results on the efficiency of the proposed schemes are provided.
REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
| |
1
|
Arthur, W. B. 1994. Inductive reasoning and bounded rationality (the El Farol Problem). The American Econ. Rev. 84, 2, 406--411.
|
| |
2
|
Agere Systems. 2001. Firmware Update for ORINOCO PC Cards v7.28 -- Spring 2001 release.
|
| |
3
|
|
| |
4
|
Alyfantis, G., Hadjieftymiades, S., and Merakos, L. 2004. MITOS: A smart spaces system for pervasive computing. In Proceedings of the EDBT Pervasive Information Management Workshop. 376--384.
|
| |
5
|
|
| |
6
|
Bahl, P. and Padmanabhan, V. N. 2000. RADAR: An in-building RF-based user location and tracking system. In Proceedings of the Annual Joint Conference of the IEEE Computer and Communications Societies INFOCOM, 775--784.
|
 |
7
|
|
| |
8
|
|
| |
9
|
Paul Castro , Patrick Chiu , Ted Kremenek , Richard R. Muntz, A Probabilistic Room Location Service for Wireless Networked Environments, Proceedings of the 3rd international conference on Ubiquitous Computing, p.18-34, September 30-October 02, 2001, Atlanta, Georgia, USA
|
| |
10
|
Courcoubetis, C. and Weber, R. 2003. Pricing Telecommunication Networks. Wiley
|
| |
11
|
Ferguson, D. F., Yemini, Y., and Nikolaou, C. 1988. Microeconomic algorithms for load balancing in distributed systems. In Proceedings of the International Conference on Distributed Systems (ICDCS), 491--499.
|
| |
12
|
Farago, J., Greenwald, A., and Hall, K. 2002. Fair and efficient solutions to the Santa Fe Problem. In Proceedings of the Grace Hopper Celebration of Women in Computing, Vancouver.
|
| |
13
|
Greenwald, A., Mishra, B., and Parikh, R. 1998. The Santa Fe bar problem revisited: Theoretical and practical implications. In Proceedings of the Stonybrook Festival on Game Theory: Interactive Dynamics and Learning.
|
| |
14
|
Trond Grenager , Rob Powers , Yoav Shoham, Dispersion games: general definitions and some specific learning results, Eighteenth national conference on Artificial intelligence, p.398-403, July 28-August 01, 2002, Edmonton, Alberta, Canada
|
| |
15
|
|
| |
16
|
Johnson N. F., Jarvis, S., Jonson, R., Cheung, P., Kwong, Y. R., and Hui, P. M. 1998. Volatility and agent adaptability in a self-organizing market. Physica A, 258, 1, 230--236.
|
| |
17
|
Kontogiannis, S. and Spirakis, P. 2005. Atomic selfish routing in networks: A survey. In Proceedings of the Workshop on Internet and Network Economics, 989--1002.
|
| |
18
|
|
 |
19
|
|
| |
20
|
Krishna, V. 2002. Auction Theory, Academic Press.
|
| |
21
|
Luce, R. D. and Raiffa, H. 1957. Games and Decisions: Introduction and Critical Survey. John Wiley and Sons.
|
| |
22
|
Liu, J. and Issarny, V. 2004. Service allocation in selfish mobile ad hoc networks using Vickrey auction. In Proceedings of the EDBT Pervasive Information Management Workshop. Crete, Greece, 385--394.
|
| |
23
|
Matsunaga, Y. and Katz, R. H. 2004. Inter-domain radio resource management for wireless LANs. In Proceedings of Wireless Communications and Networks Conference (WCNC), 2183--2188.
|
| |
24
|
Network Monitoring Tools. http://www.slac.stanford.edu/xorg/nmtf/nmtf-tools.html
|
| |
25
|
|
| |
26
|
Parkes, D. C. and Steinig, D. The Santa Fe bar problem: A study in multiagent learning, Discussion paper, U. of Penn.
|
| |
27
|
Roos, T., Myllymaki, P., Tirri, H., Misikangas, P., and Sievanen, J. 2002. A probabilistic approach to WLAN user location estimation. International Journal on Wireless Information Networks 9, 3, 155--164.
|
| |
28
|
Satyanarayanan, M. 2001. Pervasive computing: Vision and challenges. IEEE Person. Comm. 8, 4, 10--17.
|
| |
29
|
Sun, G., Chen, J., Guo, W., and Liu, K. J. R. 2005. Signal processing techniques in network-aided positioning. IEEE Signal Proc. Mag. 22, 4, 12--23.
|
| |
30
|
Sandholm, T. 1996. Limitations of the Vickrey auction in computational multiagent systems. In Proceedings of the International Conference on Multi-agent Systems (ICMAS). 299--306.
|
| |
31
|
|
 |
32
|
|
| |
33
|
|
| |
34
|
Weiser, M. 1991. The computer for the twenty-first century. Scient. Am. 265, 3, 94--104.
|
| |
35
|
Wolf, T. D. and Holvoet, T. 2003. Towards autonomic computing: Agent-based modelling, dynamical systems analysis, and decentralised control. In Proceedings of the International Workshop on Autonomic.
|
| |
36
|
Walsh, W. E., Wellman, M. P., Wurman, P. R., and MacKie-Mason, J. K. 1998. Auction protocols for decentralized scheduling. Games Econ. Behav. 35, 1, 271--303.
|
| |
37
|
Wang, Y., Cuthbert, L. G., and Bigham, J. 2004. Intelligent radio resource management for IEEE 802.11 WLAN. In Proceedings of Wireless Communications and Networks Conference (WCNC'04), 1365--1370.
|
| |
38
|
|
| |
39
|
Yu, M., Luo, H., and Leung, K. K. 2006. Dynamic radio resource management technique for multiple APs in WLANs. IEEE Trans. Wirel. Comm. 5, 7, 1910--1919.
|
|