Optimal energy allocation policies for a high altitude flying wireless access point

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2017-04-01

Author

Ceran, Elif Tugce
Erkilic, Tugce
Uysal, Elif
GİRİCİ, TOLGA
Leblebicioğlu, Mehmet Kemal

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Inspired by recent industrial efforts towards high altitude flying wireless access points powered by renewable energy, an online resource allocation problem for a mobile access point travelling at high altitude is formulated. The access point allocates its resources (available energy) to maximise the total utility (reward) provided to a sequentially observed set of users demanding service. The problem is formulated as a 0/1 dynamic knapsack problem with incremental capacity over a finite time horizon, and the solution of which is quite open in the literature. We address the problem through deterministic and stochastic formulations followed by a model where the statistics of the underlying processes are not known and learned through rule-based and neural network approaches. For the deterministic problem, several online approximations including optimisation via genetic algorithm and rule-based approach are proposed based on an instantaneous threshold that can adapt to short-time-scale dynamics. For the stochastic model, after showing the optimality of a threshold-based solution on a dynamic programming formulation, an approximate threshold-based policy is obtained. The performances of proposed policies are compared with that of the optimal solution obtained through dynamic programming. Copyright (C) 2016 John Wiley & Sons, Ltd.

Subject Keywords

Sensor networks, Data-collection

URI

https://hdl.handle.net/11511/46805

Journal

TRANSACTIONS ON EMERGING TELECOMMUNICATIONS TECHNOLOGIES

DOI

https://doi.org/10.1002/ett.3034

Collections

Department of Electrical and Electronics Engineering, Article

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Citation Formats

E. T. Ceran, T. Erkilic, E. Uysal, T. GİRİCİ, and M. K. Leblebicioğlu, “Optimal energy allocation policies for a high altitude flying wireless access point,” TRANSACTIONS ON EMERGING TELECOMMUNICATIONS TECHNOLOGIES, pp. 0–0, 2017, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/46805.