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A Randomized Scheduling Algorithm for Energy Harvesting Wireless Sensor Networks Achieving Nearly 100% Throughput

Gul, Omer Melih; Uysal-Biyikoglu, Elif


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{
  "@context": "https://schema.org/", 
  "@id": 64079, 
  "@type": "ScholarlyArticle", 
  "creator": [
    {
      "@type": "Person", 
      "affiliation": "Middle East Tech Univ, Elect & Elect Engn, Ankara, Turkey", 
      "name": "Gul, Omer Melih"
    }, 
    {
      "@type": "Person", 
      "affiliation": "Middle East Tech Univ, Elect & Elect Engn, Ankara, Turkey", 
      "name": "Uysal-Biyikoglu, Elif"
    }
  ], 
  "datePublished": "2014-01-01", 
  "description": "This paper considers a single-hop wireless network where a fusion center (FC) collects data from a set of m energy harvesting (EH) sensors. In each time slot, k of m nodes can be scheduled by the FC for transmission over k communication channels. FC has no knowledge about the EH processes and current battery states of sensors; however, it knows the outcomes of previous transmission attempts. Also, battery leakage is ignored since it is very small. The objective is to find a low complexity scheduling policy that maximizes the total throughput of the data backlogged system for general case of EH process in finite or infinite horizon. A low-complexity and near optimal policy UROP (Uniformizing Random Ordered Policy) is proposed for a general case of EH process under infinite battery assumption. Simulations indicate that under a reasonable-sized finite battery assumption, there is almost no loss in throughput.", 
  "headline": "A Randomized Scheduling Algorithm for Energy Harvesting Wireless Sensor Networks Achieving Nearly 100% Throughput", 
  "identifier": 64079, 
  "image": "https://aperta.ulakbim.gov.tr/static/img/logo/aperta_logo_with_icon.svg", 
  "license": "http://www.opendefinition.org/licenses/cc-by", 
  "name": "A Randomized Scheduling Algorithm for Energy Harvesting Wireless Sensor Networks Achieving Nearly 100% Throughput", 
  "url": "https://aperta.ulakbim.gov.tr/record/64079"
}
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