Abstract
In this paper, sensor management is divided into two processes: sensor deployment and sensor scheduling, after which a multi-mode sensor management approach based on risk theory is proposed. Firstly, the definition of risk is provided, on the basis of which the target detecting risk and the target tracking risk are separately presented, along with their computing methods. Secondly, when deploying sensors, the objective is to obtain the minimum target detecting risk. Similarly, when scheduling sensors, the objective is to obtain the minimal sum of target detecting risk and target tracking risk. Furthermore, to obtain sensor management schemes according to the objective functions, the improved bee colony algorithm based on double-probability and in combination with the particle swarm optimization algorithm is proposed. Finally, simulations are conducted, which indicate that the models and the algorithm in the paper possess some advantages over existing ones.
Highlights
Sensor networks are applied in both military and civilian domains to acquire information.Especially in combat, they play an important role in target detecting and tracking
To solve the problems mentioned above, the sensor management approach combining target detecting and target tracking is studied based on risk theory
A sensor can work in two modes, namely ‘target detecting’ and ‘target tracking’, but the sensor can operate in only one working mode at a certain moment
Summary
Sensor networks are applied in both military and civilian domains to acquire information. With new targets appearing and acquired targets disappearing, different kinds of missions emerge at the same time, which means that a sensor network must detect targets and track targets simultaneously. At this point, the sensor management model is totally different from those only considering one type of combat mission. To solve the problems mentioned above, the sensor management approach (supposing that the sensor is a radar and the target is an aircraft) combining target detecting and target tracking is studied based on risk theory.
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