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Energy Efficient Data Transmission for Sensors with Wireless Charging.

Xiaolin Fang1, Junzhou Luo2, Weiwei Wu3

  • 1School of Computer Science and Engineering, Southeast University, Nanjing 211189, China. xiaolin@seu.edu.cn.

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|February 9, 2018
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Summary

This study optimizes energy use in sensors with wireless charging, considering heat effects. Algorithms are developed for limited and extended charging periods, achieving near-optimal energy utilization for data transmission.

Keywords:
data transmissionthermal effectwireless charging

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Area of Science:

  • Wireless communication
  • Energy harvesting
  • Sensor networks

Background:

  • Sensors require efficient energy management for data transmission.
  • Periodic wireless charging presents unique challenges due to thermal effects.
  • Optimizing energy utilization is crucial for prolonged sensor operation.

Purpose of the Study:

  • To maximize energy utilization for data transmission in sensors with periodic wireless charging.
  • To analyze the impact of thermal effects on energy efficiency.
  • To develop algorithms for both limited and extended wireless charging scenarios.

Main Methods:

  • Analysis of two distinct problem classes: limited and extended wireless charging periods.
  • Development of algorithms to address each problem class.
  • Derivation of performance bounds for the proposed algorithms.

Main Results:

  • An algorithm for limited charging provides a performance bound of (1 - 1/2m)(OPT - E).
  • An algorithm for extended charging achieves a performance bound of 2m/(2m-1)OPT + 1.
  • Simulations validate the theoretical analysis of the algorithms.

Conclusions:

  • The proposed algorithms effectively maximize sensor energy utilization under periodic wireless charging.
  • Thermal effects are successfully integrated into the energy optimization framework.
  • The study provides quantifiable performance bounds for practical sensor network applications.