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Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
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Stochastic Latency Guarantee in Wireless Powered Virtualized Sensor Networks.

Ruyan Wang1,2,3, Ailing Zhong1,2,3, Zhidu Li1,2,3

  • 1School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China.

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|December 30, 2020
PubMed
Summary
This summary is machine-generated.

This study integrates wireless energy transfer into sensor networks to meet data rate and latency needs. The proposed optimization scheme significantly reduces latency violation probability for energy-constrained applications.

Keywords:
effective capacitylatency guaranteetask allocationwireless powered communicationswireless virtualized sensor networks

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Area of Science:

  • Computer Science
  • Electrical Engineering
  • Network Engineering

Background:

  • Meeting data rate and latency requirements in energy-limited wireless virtualized sensor networks is a significant challenge.
  • Existing solutions often struggle to provide performance guarantees under stochastic conditions.

Purpose of the Study:

  • To develop a novel approach for guaranteeing data rate and latency in energy-constrained wireless virtualized sensor networks.
  • To integrate wireless energy transfer technology for enhanced network performance.

Main Methods:

  • Formulated a joint task and resource allocation optimization problem.
  • Utilized effective capacity theory to analyze stochastic latency and its violation probability.
  • Proposed a bisection search for optimal task allocation and a 1D search for optimal energy harvesting time.

Main Results:

  • Proved the performance equivalence of Frequency Division Multiple Access (FDMA) and Time Division Multiple Access (TDMA) modes.
  • Demonstrated significant reductions in latency violation probability compared to proportional and equal task allocation schemes (11.6x and 4600x, respectively).

Conclusions:

  • The proposed integrated wireless energy transfer and resource allocation scheme effectively guarantees data rate and latency requirements.
  • This approach offers a robust solution for energy-constrained wireless virtualized sensor networks facing stochastic performance demands.