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Quality of routing congestion games in wireless sensor networks
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Proceedings of the 4th Annual International Conference on Wireless Internet table of contents
Maui, Hawaii
SESSION: Game theoretic models for wireless networks table of contents
Article No. 71  
Year of Publication: 2008
ISBN:978-963-9799-36-3
Authors
Costas Busch  Louisiana State University, Baton Rouge, LA
Rajgopal Kannan  Louisiana State University, Baton Rouge, LA
Athanasios V. Vasilakos  University of Western, Macedonia, Greece
Sponsors
: ICST
: Intel
: XIRRUS
Publisher
Bibliometrics
Downloads (6 Weeks): 9,   Downloads (12 Months): 35,   Citation Count: 1
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ABSTRACT

We consider congestion games in wireless sensor networks that offer quantitatively distinct classes of routing paths. Each routing class is characterized by a service cost. Within a routing class, the maximum link congestion is also an important metric for measuring the quality of the paths. Here, we study routing games where each player i selfishly selects a path with a respective routing class that simultaneously minimizes its maximum edge congestion Ci and service cost Si, in other words minimizes Ci + Si. We examine the quality of Nash-equilibria and prove that the price of stability is 1. The price of anarchy is bounded above by min(C*, S*) · m log n, where m is the number of routing classes, n is the size of the graph, and C* and S* are the optimal coordinated congestion and service costs. Thus, under certain circumstances, the player's selfishness does not hurt the social welfare and actually the equilibria can give good approximations for the coordinated optimal social cost.


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.

 
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Collaborative Colleagues:
Costas Busch: colleagues
Rajgopal Kannan: colleagues
Athanasios V. Vasilakos: colleagues