Optimal transmission power scheduling on solar wireless sensor networks node
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(1.School of Electrical Engineering and Automation, Tianjin University, 300072 Tianjin, China; 2.School of Computer Science and Technology, Tianjin University, 300072 Tianjin, China)

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TP393

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    Abstract:

    Considering the energy harvesting properties of solar-driven wireless sensor network node, an optimal transmission power scheduling policy was proposed aiming at maximizing data bits delivered by a deadline. Assuming data bits have arrived, the proposed forward-backward searching (FBS) transmission power policy established an optimal transmission power series. According to the average harvested energy estimate during the harvesting decreasing period, the method can provide a global optimal transmitting series. Simulation was made based on the solar radiation data of Los Angeles(N33°,W118°), America in 1990. The results show that FBS performs better than the energy used up(EUP) policy. The longer sensor node harvestes energy , the better FBS performs.

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History
  • Received:May 28,2014
  • Revised:
  • Adopted:
  • Online: November 09,2015
  • Published:
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