title: Model-Based Design of Tree WSNs for Decentralized Detection.
abstract: The classical decentralized detection problem of finding the optimal decision rules at the sensor and fusion center, as well as variants that introduce physical channel impairments have been studied extensively in the literature. The deployment of WSNs in decentralized detection applications brings new challenges to the field. Protocols for different communication layers have to be co-designed to optimize the detection performance. In this paper, we consider the communication network design problem for a tree WSN. We pursue a system-level approach where a complete model for the system is developed that captures the interactions between different layers, as well as different sensor quality measures. For network optimization, we propose a hierarchical optimization algorithm that lends itself to the tree structure, requiring only local network information. The proposed design approach shows superior performance over several contentionless and contention-based network design approaches.
authors: RasGas Company Limited, Doha 24200, Qatar. ashraf.tantawy@gmail.com.
authors: Ashraf
authors: A
authors: Tantawy
authors: Institute for Software Integrated Systems, Department of Electrical Engineering and Computer Science, Vanderbilt University, Nashville, TN 37235, USA. xenofon.koutsoukos@vanderbilt.edu.
authors: Xenofon
authors: X
authors: Koutsoukos
authors: Institute for Software Integrated Systems, Department of Electrical Engineering and Computer Science, Vanderbilt University, Nashville, TN 37235, USA. gautam.biswas@vanderbilt.edu.
authors: Gautam
authors: G
authors: Biswas
keywords: cyber-physical systems; decentralized detection; modeling; multiaccess communication; networked information fusion; optimization; simulation; transmission control policy; tree sensor networks; wireless sensor network