TY - GEN
T1 - Efficient control of information flow for distributed multisensor fusion using Markov decision processes
AU - Akselrod, D.
AU - Sinha, A.
AU - Goldman, C. V.
AU - Kirubarajan, T.
PY - 2006/12/1
Y1 - 2006/12/1
N2 - Network-centric multisensor-multitaryet tracking has numerous advantages over single-sensor or single-platform trucking. In this paper, we present a solution to one of the main problems of network-centric tracking, namely, decentralized information sharing among the platforms participating in the distributed data fusion. This paper presents a decision mechanism that provides each platform with the required data for the distributed data fusion process while reducing redundancy in the information flow in the overall system. We consider a distributed data fusion system consisting of platforms that are decentralized, heterogenous, and potentially unreliable. The proposed approach, which is based on Markov decision processes and decentralized lookup substrate, will control the information exchange process based, among the other parameters, on tracking performance metrics of individual platforms, thereby enhancing the whole distributed system's reliability as well as that of each participating platform. Simulation examples demonstrate the operation and the performance results of the system.
AB - Network-centric multisensor-multitaryet tracking has numerous advantages over single-sensor or single-platform trucking. In this paper, we present a solution to one of the main problems of network-centric tracking, namely, decentralized information sharing among the platforms participating in the distributed data fusion. This paper presents a decision mechanism that provides each platform with the required data for the distributed data fusion process while reducing redundancy in the information flow in the overall system. We consider a distributed data fusion system consisting of platforms that are decentralized, heterogenous, and potentially unreliable. The proposed approach, which is based on Markov decision processes and decentralized lookup substrate, will control the information exchange process based, among the other parameters, on tracking performance metrics of individual platforms, thereby enhancing the whole distributed system's reliability as well as that of each participating platform. Simulation examples demonstrate the operation and the performance results of the system.
KW - Communication management
KW - Control of information flow
KW - Distributed data fusion
KW - Markov decision process
KW - Multisensor-multitarget tracking
UR - http://www.scopus.com/inward/record.url?scp=50149101765&partnerID=8YFLogxK
U2 - 10.1109/ICIF.2006.301722
DO - 10.1109/ICIF.2006.301722
M3 - Conference contribution
AN - SCOPUS:50149101765
SN - 1424409535
SN - 9781424409532
T3 - 2006 9th International Conference on Information Fusion, FUSION
BT - 2006 9th International Conference on Information Fusion, FUSION
T2 - 2006 9th International Conference on Information Fusion, FUSION
Y2 - 10 July 2006 through 13 July 2006
ER -