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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.
Sensors (Basel, Switzerland)
|December 30, 2020
Summary
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.
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.
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