1 Ocak 2014 Konferans bildirisi Açık Erişim

Gul, Omer Melih; Uysal-Biyikoglu, Elif

Dublin Core

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  <dc:creator>Gul, Omer Melih</dc:creator>
  <dc:creator>Uysal-Biyikoglu, Elif</dc:creator>
  <dc:date>2014-01-01</dc:date>
  <dc: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.</dc:description>
  <dc:identifier>https://aperta.ulakbim.gov.trrecord/64079</dc:identifier>
  <dc:identifier>oai:zenodo.org:64079</dc:identifier>
  <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
  <dc:rights>http://www.opendefinition.org/licenses/cc-by</dc:rights>
  <dc:title>A Randomized Scheduling Algorithm for Energy Harvesting Wireless Sensor Networks Achieving Nearly 100% Throughput</dc:title>
  <dc:type>info:eu-repo/semantics/conferencePaper</dc:type>
  <dc:type>publication-conferencepaper</dc:type>
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