On Wireless Power Transfer and Max Flow in Rechargeable Wireless Sensor Networks

@article{He2016OnWP,
  title={On Wireless Power Transfer and Max Flow in Rechargeable Wireless Sensor Networks},
  author={Tengjiao He and Kwan-Wu Chin and Sieteng Soh},
  journal={IEEE Access},
  year={2016},
  volume={4},
  pages={4155-4167}
}
In rechargeable or energy harvesting wireless sensor networks (WSNs), a key concern is the max flow or data rate at one or more sinks. However, this data rate is constrained by the available energy at each node as well as link capacity. To date, in order to increase the amount of data extracted from a WSN, past works have considered routing approaches or they optimize the location of sinks. In contrast, we take a novel approach whereby we aim to “upgrade” the recharging rate of a finite number… CONTINUE READING

Figures, Tables, Results, and Topics from this paper.

Key Quantitative Results

  • Our results show that Tabu has the best performance, where it is able to achieve 99.40% of the max flow rate derived by MILP in tested scenarios.
  • Evaluation results show that Tabu has the best performance; it is able to achieve 99.40% of the max flow rate derived by MILP in tested scenarios.
  • Evaluation results show that the max-min rate obtained by GND and OUED is respectively within 99.34% and 97.97% of the max-min rate derived by MILP in small networks.
  • Experiment results show that RF energy sharing among nodes improves the max-min rate by 13.98%.

Citations

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An effective energy-harvesting-aware routing algorithm for WSN-based IoT applications

  • 2017 IEEE International Conference on Communications (ICC)
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Joint node deployment and wireless energy transfer scheduling for immortal sensor networks

  • 2017 15th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt)
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