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Agent negotiation of target distribution enhancing system survivability
KTH, School of Computer Science and Communication (CSC), Centres, Centre for Autonomous Systems, CAS.
KTH, School of Computer Science and Communication (CSC), Numerical Analysis and Computer Science, NADA. KTH, School of Computer Science and Communication (CSC), Centres, Centre for Autonomous Systems, CAS.
2007 (English)In: International Journal of Intelligent Systems, ISSN 0884-8173, E-ISSN 1098-111X, Vol. 22, no 12, 1251-1269 p.Article in journal (Refereed) Published
Abstract [en]

This article proposes an agent negotiation model for target distribution across a set of geographically dispersed sensors. The key idea is to consider sensors as autonomous agents that negotiate over the division of tasks among them for obtaining better payoffs. The negotiation strategies for agents are established based upon the concept of subgame perfect equilibrium from game theory. Using such negotiation leads to not only superior measuring performance from a global perspective but also possibly balanced allocations of tasks to sensors, benefiting system robustness and survivability. A simulation test and results are given to demonstrate the ability of our approach in improving system security while keeping overall measuring performance near optimal.

Place, publisher, year, edition, pages
2007. Vol. 22, no 12, 1251-1269 p.
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:kth:diva-37314DOI: 10.1002/int.7006ISI: 000250674200002Scopus ID: 2-s2.0-36749082252OAI: oai:DiVA.org:kth-37314DiVA: diva2:433052
Available from: 2011-08-08 Created: 2011-08-08 Last updated: 2017-12-08Bibliographically approved

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