Energy-Aware Sensor Selection in Field Reconstruction

Liu S., Vempaty A., Fardad M., MAŞAZADE E., Varshney P. K.

IEEE SIGNAL PROCESSING LETTERS, cilt.21, sa.12, ss.1476-1480, 2014 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 21 Sayı: 12
  • Basım Tarihi: 2014
  • Doi Numarası: 10.1109/lsp.2014.2342198
  • Dergi Adı: IEEE SIGNAL PROCESSING LETTERS
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.1476-1480
  • Anahtar Kelimeler: Alternating direction method of multipliers, convex relaxation, field reconstruction, proximal gradient method, reweighted l(1), sensor selection, sparsity, SPARSITY
  • Marmara Üniversitesi Adresli: Hayır

Özet

In this letter, a new sparsity-promoting penalty function is introduced for sensor selection problems in field reconstruction, which has the property of avoiding scenarios where the same sensors are successively selected. Using a reweighted l(1) relaxation of the norm, the sensor selection problem is reformulated as a convex quadratic program. In order to handle large-scale problems, we also present two fast algorithms: accelerated proximal gradient method and alternating direction method of multipliers. Numerical results are provided to demonstrate the effectiveness of our approaches.