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Lyapunov-Guided Energy Scheduling and Computation Offloading for Solar-Powered WSN

Applied Sciences (Switzerland), ISSN: 2076-3417, Vol: 13, Issue: 8
2023
  • 1
    Citations
  • 0
    Usage
  • 5
    Captures
  • 1
    Mentions
  • 0
    Social Media
Metric Options:   Counts1 Year3 Year

Metrics Details

  • Citations
    1
  • Captures
    5
  • Mentions
    1
    • News Mentions
      1
      • 1

Most Recent News

Researchers at North China Electric Power University Release New Study Findings on Applied Sciences (Lyapunov-Guided Energy Scheduling and Computation Offloading for Solar-Powered WSN)

2023 MAY 15 (NewsRx) -- By a News Reporter-Staff News Editor at NewsRx Science Daily -- A new study on applied sciences is now available.

Article Description

To satisfy the continuously high energy consumption and high computational capacity requirements for IoT applications, such as video monitoring, we integrate solar harvesting and multi-access edge computing (MEC) technologies to develop a solar-powered MEC system. Considering the stochastic nature of solar arrivals and channel conditions, we formulate a stochastic optimization problem to maximize network energy efficiency under the constraints of energy queue stability, task queue stability, peak transmission power, and maximum CPU frequency of each sensor. To solve the long-term stochastic optimization problem, we propose a Lyapunov-based online joint computational offloading and resource scheduling optimization algorithm, transforming the long-term stochastic problem into a series of deterministic subproblems in each time slot. Simulation results show that the proposed algorithm can find the optimal solution to tradeoff long-term energy efficiency and queueing backlog without requiring a priori knowledge of the channel state and energy arrival, which is a more realistic solution for practical solar-powered MEC systems.

Bibliographic Details

Juan Gao; Runze Wu; Jianhong Hao

MDPI AG

Materials Science; Physics and Astronomy; Engineering; Chemical Engineering; Computer Science

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