ACM Home Page
Please provide us with feedback. Feedback
Handling interdependent values in an auction mechanism for bandwidth allocation in tactical data networks
Full text PdfPdf (166 KB)
Source
Applications, Technologies, Architectures, and Protocols for Computer Communication archive
Proceedings of the 3rd international workshop on Economics of networked systems table of contents
Seattle, WA, USA
SESSION: Session 4 table of contents
Pages 73-78  
Year of Publication: 2008
ISBN:978-1-60558-179-8
Authors
Mark Klein  Carnegie Mellon University, Pittsburgh, PA, USA
Gabriel A. Moreno  Carnegie Mellon University, Pittsburgh, PA, USA
David C. Parkes  Harvard University, Cambridge, MA, USA
Daniel Plakosh  Carnegie Mellon University, Pittsburgh, PA, USA
Sven Seuken  Harvard University, Cambridge, MA, USA
Kurt Wallnau  Harvard University, Pittsburgh, PA, USA
Sponsors
ACM: Association for Computing Machinery
SIGCOMM: ACM Special Interest Group on Data Communication
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 2,   Downloads (12 Months): 31,   Citation Count: 0
Additional Information:

abstract   references   index terms   collaborative colleagues  

Tools and Actions: Request Permissions Request Permissions    Review this Article  
DOI Bookmark: Use this link to bookmark this Article: http://doi.acm.org/10.1145/1403027.1403044
What is a DOI?

ABSTRACT

We consider a tactical data network with limited bandwidth, in which each agent is tracking objects and may have value for receiving data from other agents. The agents are self-interested and would prefer to receive data than share data. Each agent has private information about the quality of its data and can misreport this quality and degrade or otherwise decline to share its data. The problem is one of interdependent value mechanism design because the value to one agent for the broadcast of data on an object depends on the quality of the data, which is privately known to the sender. A recent two-stage mechanism due to Mezzetti (2004) can be modified to our setting. Our mechanism achieves efficient bandwidth allocation and provides incentive compatibility by conditioning payments on the realized value for data shared between agents.


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
 
2
P. Dasgupta and E. S. Maskin. Efficient auctions. Quarterly Journal of Economics, 115:341--388, 2000.
 
3
R. Dash, A. Rogers, S. Reece, S. Roberts, and N. R. Jennings. Constrained bandwidth allocation in multi-sensor information fusion: a mechanism design approach. In Proc. of the 8th Int. Conf. on Information Fusion, July 2005.
 
4
J. Feigenbaum, M. Schapira, and S. Shenker. Distributed Algorithmic Mechanism Design. In Algorithmic Game Theory, Noam Nisan, Tim Roughgarden, Eva Tardos, and Vijay Vazirani (eds.), Cambridge University Press, 2007.
 
5
J. Golliday, C. Leslie. Data link communications in tactical air command and control systems. IEEE Journal on Selected Areas in Communication, 3(5):779--791, 1985.
 
6
T. Groves. Incentives in teams. Econometrica, 41:617--631, 1973.
7
 
8
P. Jehiel and B. Moldovanu. Efficient design with interdependent valuations. Econometrica, 69:1237--1259, 2001.
 
9
M. Klein, D. Plakosh, and K. Wallnau. Using the Vickrey-Clarke-Groves auction mechnanism for enhanced bandwidth allocation in tactical data networks. Technical report CMU/SEI-2008-TR-004, CMU Software Engineering Institute, 2008.
 
10
V. Krishna. Auction Theory. Academic Press, 2002.
 
11
C. Mezzetti. Mechanism design with interdependent valuations: Efficiency. Econometrica, pages 1617--1626, 2004.
 
12
D. C. Parkes. Online Mechanisms. In Algorithmic Game Theory, Noam Nisan, Tim Roughgarden, Eva Tardos, and Vijay Vazirani (eds.), Cambridge University Press, 2007.
 
13
A. Rogers, R. K. Dash, N. R. Jennings, S. Reece, and S. Roberts. Computational mechanism design for information fusion within sensor networks. In Proc. of the 9th Int. Conf. on Information Fusion, July 2006.
14
 
15
C. Wilson. Network centric warfare: Background and oversight issues for congress. CRS Report RL32411, The Library of Congress, June 2004.

Collaborative Colleagues:
Mark Klein: colleagues
Gabriel A. Moreno: colleagues
David C. Parkes: colleagues
Daniel Plakosh: colleagues
Sven Seuken: colleagues
Kurt Wallnau: colleagues