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

MAŞAZADE E., Kose A.

IEEE TRANSACTIONS ON SIGNAL PROCESSING, cilt.66, sa.1, ss.86-100, 2018 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 66 Sayı: 1
  • Basım Tarihi: 2018
  • Doi Numarası: 10.1109/tsp.2017.2759080
  • Dergi Adı: IEEE TRANSACTIONS ON SIGNAL PROCESSING
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.86-100
  • Anahtar Kelimeler: Wireless sensor network, adaptive sensor management, time division multiple access, binary quantizer design, fading channels, target tracking, CRAMER-RAO BOUNDS, QUANTIZER DESIGN, DECENTRALIZED DETECTION, DISTRIBUTED DETECTION, SOURCE LOCALIZATION, BAYESIAN-ESTIMATION, MAC PROTOCOLS, SELECTION, COMMUNICATION, INFORMATION
  • Abdullah Gül Üniversitesi Adresli: Hayır

Özet

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.