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c8c481671f979b2add66 · Distributed Sensor Location through Linear Programming with Triangle Inequality Constraints

Distributed Sensor Location through Linear Programming with Triangle Inequality Constraints

Interest in dense sensor networks due to falling prices and reduced size has motivated research in sensor location in recent years. To our knowledge, the algorithm which achieves the best performance in sensor location solves an optimization program by

Официальный источник · 2006-06-01

Полные импортированные сведения карточки
{
  "title_en": "Distributed Sensor Location through Linear Programming with Triangle Inequality Constraints",
  "designation": "",
  "series": "",
  "status": "",
  "date": "2006-06-01",
  "date_original": "June 1, 2006",
  "url": "https://www.nist.gov/publications/distributed-sensor-location-through-linear-programming-triangle-inequality-0",
  "source": "NIST Publications",
  "display_en": "",
  "authors_en": "Camillo A. Gentile",
  "abstract_excerpt_en": "Interest in dense sensor networks due to falling prices and reduced size has motivated research in sensor location in recent years. To our knowledge, the algorithm which achieves the best performance in sensor location solves an optimization program by",
  "id": "c8c481671f979b2add66",
  "sources": [
    "NIST Publications"
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    {
      "title_en": "Distributed Sensor Location through Linear Programming with Triangle Inequality Constraints",
      "designation": "",
      "series": "",
      "status": "",
      "date": "2006-06-01",
      "date_original": "June 1, 2006",
      "url": "https://www.nist.gov/publications/distributed-sensor-location-through-linear-programming-triangle-inequality-0",
      "source": "NIST Publications",
      "display_en": "",
      "authors_en": "Camillo A. Gentile",
      "abstract_excerpt_en": "Interest in dense sensor networks due to falling prices and reduced size has motivated research in sensor location in recent years. To our knowledge, the algorithm which achieves the best performance in sensor location solves an optimization program by"
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