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A Proportional Time Allocation Algorithm to Transmit Binary Sensor Decisions for Target Tracking in a Wireless Sensor Network

机译:无线传感器网络中用于跟踪目标的二进制传感器决策的比例时间分配算法

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In this paper, we study the target tracking problem in a wireless sensor network. A sensor receives a measurement from an energy emitting target and employs binary quantization to the received measurement to generate its decision. A sinusoidal waveform with a certain duration is then used to transmit the sensor decision to the fusion center (FC). All sensor decisions are transmitted to the FC over erroneous wireless channels based on a time division multiple access scheme. We introduce the proportional time allocation (PTA) algorithm where at each time step of tracking, PTA jointly determines the sensors binary quantization thresholds and their time allocations devoted for the transmissions of binary sensor decisions. Simulation results show that, PTA optimally and dynamically distributes the available transmission time among the sensors near the target so that the decisions of such sensors become less subject to channel errors, and turns off the non-informative sensors located far away from the target. Hence, PTA both saves from the number of sensors transmitting to the FC and provides better estimation performance as compared to ad hoc equal time allocation approaches.
机译:在本文中,我们研究了无线传感器网络中的目标跟踪问题。传感器从能量发射目标接收测量值,并对接收到的测量值进行二进制量化以生成其决策。然后使用具有一定持续时间的正弦波形将传感器决策传输到融合中心(FC)。基于时分多址方案,所有传感器决策都会通过错误的无线信道传输到FC。我们介绍了比例时间分配(PTA)算法,其中在跟踪的每个时间步中,PTA共同确定传感器的二进制量化阈值及其用于二进制传感器决策传输的时间分配。仿真结果表明,PTA可以在目标附近的传感器之间最佳地动态分配可用的传输时间,从而使此类传感器的决策受到信道误差的影响较小,并关闭远离目标的非信息传感器。因此,与临时等时分配方法相比,PTA既节省了发送到FC的传感器数量,又提供了更好的估计性能。

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