TY - GEN
T1 - Average Consensus-Based Data Fusion in Networked Sensor Systems for Target Tracking
AU - Azam, Md Ali
AU - Dey, Shawon
AU - Mittelmann, Hans D.
AU - Ragi, Shankarachary
N1 - Funding Information:
This work was supported in part by Air Force Office of Scientific Research under grant FA9550-19-1-0070.
Publisher Copyright:
© 2020 IEEE.
PY - 2020/1
Y1 - 2020/1
N2 - Decentralized and distributed autonomous sensing over networked sensor systems has many applications in surveillance, Internet of Things (IoT), autonomous cars, and UAV swarms tactics. In this study, we develop an average consensus-based decentralized data fusion approach for a target tracking application. Specifically, we extend the standard average consensus algorithm to merge the local state estimate information with that of the neighbors. We test the performance of our consensus based data fusion approach for various network configurations. We also perform numerical studies to compare the performance of our approach against the standard Bayesian data fusion approach.
AB - Decentralized and distributed autonomous sensing over networked sensor systems has many applications in surveillance, Internet of Things (IoT), autonomous cars, and UAV swarms tactics. In this study, we develop an average consensus-based decentralized data fusion approach for a target tracking application. Specifically, we extend the standard average consensus algorithm to merge the local state estimate information with that of the neighbors. We test the performance of our consensus based data fusion approach for various network configurations. We also perform numerical studies to compare the performance of our approach against the standard Bayesian data fusion approach.
KW - Decentralized average consensus
KW - Networked sensor systems
KW - Sensor data fusion
KW - Target tracking
UR - http://www.scopus.com/inward/record.url?scp=85083078460&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85083078460&partnerID=8YFLogxK
U2 - 10.1109/CCWC47524.2020.9031250
DO - 10.1109/CCWC47524.2020.9031250
M3 - Conference contribution
AN - SCOPUS:85083078460
T3 - 2020 10th Annual Computing and Communication Workshop and Conference, CCWC 2020
SP - 964
EP - 969
BT - 2020 10th Annual Computing and Communication Workshop and Conference, CCWC 2020
A2 - Chakrabarti, Satyajit
A2 - Paul, Rajashree
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 10th Annual Computing and Communication Workshop and Conference, CCWC 2020
Y2 - 6 January 2020 through 8 January 2020
ER -