TY - GEN
T1 - Cluster based sensor scheduling in a target tracking application with particle filtering
AU - Özfidan, Özgür
AU - Bayazit, Uluǧ
AU - Çirpan, Hakan A.
PY - 2007
Y1 - 2007
N2 - In multi-sensor applications management of sensors is necessary for the classification of data they produce and for the efficient use of sensors as well. One of the important aspects in sensor management is the sensor scheduling. By scheduling the sensors, serious reductions can be achieved in the cost of bandwidth, power, and computation. In this work a simple solution for the problem of sensor scheduling in a multi-sensor target tracking application is presented. Due to non-linearity of the problem itself, proposed solution is presented in the framework of non-linear Bayesian estimation.
AB - In multi-sensor applications management of sensors is necessary for the classification of data they produce and for the efficient use of sensors as well. One of the important aspects in sensor management is the sensor scheduling. By scheduling the sensors, serious reductions can be achieved in the cost of bandwidth, power, and computation. In this work a simple solution for the problem of sensor scheduling in a multi-sensor target tracking application is presented. Due to non-linearity of the problem itself, proposed solution is presented in the framework of non-linear Bayesian estimation.
UR - http://www.scopus.com/inward/record.url?scp=50049097498&partnerID=8YFLogxK
U2 - 10.1109/ISIE.2007.4374868
DO - 10.1109/ISIE.2007.4374868
M3 - Conference contribution
AN - SCOPUS:50049097498
SN - 1424407559
SN - 9781424407552
T3 - IEEE International Symposium on Industrial Electronics
SP - 1741
EP - 1746
BT - 2007 IEEE International Symposium on Industrial Electronics, ISIE 2007, Proceedings
T2 - 2007 IEEE International Symposium on Industrial Electronics, ISIE 2007
Y2 - 4 June 2007 through 7 June 2007
ER -