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Transactions: WSEAS TRANSACTIONS ON COMMUNICATIONS
Transactions ID Number: 42-303
Full Name: Yan Zhou
Position: Doctor (Researcher)
Age: ON
Sex: Male
Address: A0603291, Shanghai Jiao Tong University
Country: CHINA
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E-mail address: yanzhou@sjtu.edu.cn
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Title of the Paper: Cross-Layer Design of Quantized-Innovation-Based Target Tracking in Wireless Sensor Networks
Authors as they appear in the Paper: Yan Zhou, Jianxun Li
Email addresses of all the authors: yanzhou@sjtu.edu.cn,lijianxun@sjtu.edu.cn
Number of paper pages: 14
Abstract: In this paper, the problem of target tracking in wireless sensor networks (WSNs) using quantized innovations is investigated from the perspective of cross-layer design. Unlike previous work that designs the tracking algorithm in a single layer, e.g. the application layer, we design the tracking algorithm incorporating the channel statistics in the application layer, and exporting to the link layer to schedule the sensors. The motivation for this study is twofold, incorporating the channel statistics to improve the tracking accuracy and scheduling the sensor nodes to reduce power consumption. Specifically, activated sensors first report their quantized innovations to a fusion center (FC) over noisy wireless channels that modeled as binary symmetric channels (BSCs). The FC estimates the target state in terms of the noisy-corrupted quantized innovations from local sensors based on sequential importance resampling (SIR) particle filtering. The imperfection of the wirel!
ess channels between the sensors and the FC are incorporated in the tracking algorithm, for which the posterior Cram¨¦r-Rao lower bounds (CRLBs) are derived. Then, an energy-efficient sensor scheduling strategy is proposed based on an optimization problem that minimizing the derived posterior CRLBs with a constraint on the total energy consumption. Simulation results are presented to demonstrate that the proposed algorithm outperforms the traditional algorithm significantly with reduced energy consumption.
Keywords: Cross-layer design, Target tracking, Wireless sensor network, Posterior Cram¨¦r-Rao lower bound, Sensor scheduling, Binary symmetric channel
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