TY - GEN
T1 - Non-myopic sensor scheduling for a centralized sensor network
AU - Shah, Himanshu
AU - Morrell, Darryl
PY - 2008/10/6
Y1 - 2008/10/6
N2 - When tracking a target in a sensor network with constrained resources, the target state estimate error can be significantly reduced using non-myopic sensor scheduling strategies. Integer non-linear programming has been used to obtain myopic sensor schedules [1]. In this paper, we apply it to a non-myopic sensor scheduling scenario consisting of a network of acoustic sensors in a centralized sensor network; there is one fusion center that combines measurements to update target belief. We cast this problem, which we call the Central Node Scheduling problem, as an integer non-linear programming problem with the objective of minimizing the total predicted tracking error over an M step planning horizon subject to sensor usage and start-up cost constraints. Using Monte Carlo simulations, we show the benefits of this approach for the centralized sensor network.
AB - When tracking a target in a sensor network with constrained resources, the target state estimate error can be significantly reduced using non-myopic sensor scheduling strategies. Integer non-linear programming has been used to obtain myopic sensor schedules [1]. In this paper, we apply it to a non-myopic sensor scheduling scenario consisting of a network of acoustic sensors in a centralized sensor network; there is one fusion center that combines measurements to update target belief. We cast this problem, which we call the Central Node Scheduling problem, as an integer non-linear programming problem with the objective of minimizing the total predicted tracking error over an M step planning horizon subject to sensor usage and start-up cost constraints. Using Monte Carlo simulations, we show the benefits of this approach for the centralized sensor network.
UR - http://www.scopus.com/inward/record.url?scp=52949133742&partnerID=8YFLogxK
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U2 - 10.1109/SAM.2008.4606871
DO - 10.1109/SAM.2008.4606871
M3 - Conference contribution
AN - SCOPUS:52949133742
SN - 9781424422418
T3 - SAM 2008 - 5th IEEE Sensor Array and Multichannel Signal Processing Workshop
SP - 275
EP - 278
BT - SAM 2008 - 5th IEEE Sensor Array and Multichannel Signal Processing Workshop
T2 - SAM 2008 - 5th IEEE Sensor Array and Multichannel Signal Processing Workshop
Y2 - 21 July 2008 through 23 July 2008
ER -