Constrained Bandwidth Allocation in Multi-Sensor Information Fusion: A Mechanism Design Approach
OA Location
Author(s)
Dash, Rajdeep
Rogers, Alex
Reece, Steve
Roberts, Stephen
Jennings, NR
Type
Conference Paper
Abstract
Sensor networks are increasingly seen as a solution for a large number of environmental, security and military monitoring tasks. Typically, in these networks, noisy data from a number of local sensors is fused to reduce the uncertainty in the global picture. A central issue in this information fusion is the decision of what data should be shared between sensors, in order to maximise the global gain in information, when the bandwidth of the communication network is limited. In this paper, we study the problem from a selfish agent perspective. We show how the uncertainty in the measurement of an event can be cast as a utility function derived from the Kalman filter. We then use the tools of mechanism design to engineer an incentivecompatible mechanism that allows rational selfish agents to individually maximise their own utility, whilst ensuring that the overall utility of the system is also maximised. We apply the mechanism to multi-sensor target detection and consider the complexity of finding an efficient solution with broadcast communication protocols.
Date Issued
2005
Citation
2005
Identifier
http://eprints.soton.ac.uk/260866/
Source
The Eighth International Conference on Information Fusion (Fusion 2005)
Subjects
Science & Technology
Technology
Computer Science, Artificial Intelligence
Computer Science, Information Systems
Imaging Science & Photographic Technology
Computer Science
Notes
Event Dates: July 2005
Publication Status
Unpublished