Reducing Sensor Failure and Ensuring Scheduling Fairness for Online Charging in Heterogeneous Rechargeable Sensor Networks

Wu, Jiaxian; Li, Shuangjuan; Huang, Qiong

doi:10.1109/iscc50000.2020.9219569

Cited by 3 publications

(1 citation statement)

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“…Ren et al [15] considered to detect single-event problems and used dynamic control theory to monitor events after the update process. Wu et al [23] [14] proposed an important differential charging scheduling (IDCS) strategy based on matroid theory to improve charging utility and reduce data loss.…”

Section: Figurementioning

confidence: 99%

Energy Allocation for Stochastic Event Detection in Rechargeable Sensor Networks

Zhou

Zhu

et al. 2022

ITC

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Wireless rechargeable sensor networks have been applied to all aspects of the real world today. Though sensors can collect energy from the environment, the energy collection cannot support sensors to work continuously as usual. Energy scheduling problems have to be solved. In this paper, we study the energy allocation problem of a rechargeable sensor network that can monitor multiple random events. It is assumed that each event follows a Poisson process, the energy received by the sensor is random, and each sensor has a chance to be assigned to detect one or more events. In the paper, we also introduce multi-objective nonlinear programming to solve the problems of nonlinearity and energy. Two algorithms are also proposed to obtain the programming’s Pareto optimal solution. At last, we conduct a number of practical simulations to verify our results.

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Section: Figurementioning

confidence: 99%