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Computational Mechanism Design for Information Fusion within Sensor Networks

Computational Mechanism Design for Information Fusion within Sensor Networks
Computational Mechanism Design for Information Fusion within Sensor Networks
Conventional centralised information fusion and control architectures will be challenged by developments in sensor networks that allow sophisticated autonomous sensors, owned by different stakeholders with individual goals, to interact and share information. Given this, we advocate the use of tools and techniques from computational mechanism design (CMD), a field at the intersection of computer science, game theory and economics, to address the challenges posed by these networks. In particular, CMD allows us to engineer networks with desirable system-wide properties, in which sensors act as rational selfish agents, each attempting to fulfill their own individuals goals through the exchange of observations and information. In this paper, we present our work developing such networks. Specifically, we discuss our development of a generic and principled information valuation metric for sensor networks and we report our experiences applying it within a real world information fusion sensor network scenario.
Rogers, Alex
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Dash, Rajdeep K.
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Jennings, N. R.
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Reece, Steve
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Roberts, Stephen
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Rogers, Alex
f9130bc6-da32-474e-9fab-6c6cb8077fdc
Dash, Rajdeep K.
589f704a-00dd-4921-b4f4-e47362cc552f
Jennings, N. R.
ab3d94cc-247c-4545-9d1e-65873d6cdb30
Reece, Steve
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Roberts, Stephen
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Rogers, Alex, Dash, Rajdeep K., Jennings, N. R., Reece, Steve and Roberts, Stephen (2006) Computational Mechanism Design for Information Fusion within Sensor Networks. Ninth International Conference on Information Fusion (Fusion 2006), Italy.

Record type: Conference or Workshop Item (Paper)

Abstract

Conventional centralised information fusion and control architectures will be challenged by developments in sensor networks that allow sophisticated autonomous sensors, owned by different stakeholders with individual goals, to interact and share information. Given this, we advocate the use of tools and techniques from computational mechanism design (CMD), a field at the intersection of computer science, game theory and economics, to address the challenges posed by these networks. In particular, CMD allows us to engineer networks with desirable system-wide properties, in which sensors act as rational selfish agents, each attempting to fulfill their own individuals goals through the exchange of observations and information. In this paper, we present our work developing such networks. Specifically, we discuss our development of a generic and principled information valuation metric for sensor networks and we report our experiences applying it within a real world information fusion sensor network scenario.

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Published date: 2006
Additional Information: Event Dates: July 2006
Venue - Dates: Ninth International Conference on Information Fusion (Fusion 2006), Italy, 2006-07-01
Organisations: Agents, Interactions & Complexity

Identifiers

Local EPrints ID: 262247
URI: https://eprints.soton.ac.uk/id/eprint/262247
PURE UUID: 82524ca3-b9aa-4d57-a64a-4f2f2d983a9d

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Date deposited: 04 Apr 2006
Last modified: 23 Sep 2019 19:00

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Contributors

Author: Alex Rogers
Author: Rajdeep K. Dash
Author: N. R. Jennings
Author: Steve Reece
Author: Stephen Roberts

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