Abstract
Wireless Rechargeable Sensor Networks (WRSNs) can significantly prolong the lifetime by employing a mobile charger to replenish the depleted energy of the sensor nodes. This paper considers the scenario that the mobile charger cannot maintain full operation of the WRSN. In this case, the first and foremost problem is how to allocate the insufficient energy to the sensor nodes and decide their corresponding data sensing rates. The objective is to maximize the utility of data collection, which concerns data fairness as well as data amount. To address this problem, we first formulate and simplify its optimization form. Then based on two observations, we propose the BalanceFlow scheme, which coordinates data sensing of the sensor nodes with charging of the mobile charger. Numerical results show that, the BalanceFlow scheme achieves near optimal utility compared with the optimization results.
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Acknowledgements
This research work is partially supported by the NSF of China under grant No. 60973122, and the 973 Program in China.
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Hu, C., Wang, Y. (2016). Optimization of Charging and Data Collection in Wireless Rechargeable Sensor Networks. In: Zu, Q., Hu, B. (eds) Human Centered Computing. HCC 2016. Lecture Notes in Computer Science(), vol 9567. Springer, Cham. https://doi.org/10.1007/978-3-319-31854-7_13
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DOI: https://doi.org/10.1007/978-3-319-31854-7_13
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