@inproceedings{9f821d0b63384080868e6c2e0fcad790,
title = "Joint optimization of energy consumption and time delay in energy-constrained fog computing networks",
abstract = "In this paper, we study a joint energy harvesting (EH) and task offloading (TO) design for an energy- constrained fog computing network, which consists of a mobile terminal and two fog nodes. The energy- constrained terminal employs time switching (TS) protocol to harvest energy from the signals sent by the circuit-powered fog node, and then exploits the harvested energy to perform local computing and offload computing. Our aim is to minimize the product of energy consumption and time delay with the constraints of TS ratio and EH requirements. To determine the optimal solution of the original non-convex problem, we decouple it into three subproblems based on the time delay assumption and then solve these subproblems through our proposed constraints activation algorithm. Furthermore, we also derive the closed form expressions for the optimal TO and TS ratios. Simulation results are presented to illustrate the effectiveness and superior performance of the proposed joint design against other conventional schemes in the literature.",
keywords = "Energy consumption, Energy harvesting, Fog computing, Task offloading, Time delay",
author = "Minjie Xu and Wei Wang and Miao Zhang and Kanapathippillai Cumanan and Guoan Zhang and Zhiguo DIng",
note = "Funding Information: This work is supported in part by the Stereoscopic Coverage Communication Network Verification Platform for China Sea under grant PCL2018KP002, the Six Categories Talent Peak of Jiangsu Province under grant KTHY-039, the Top-notch Academic Programs Project of Jiangsu Higher Education Institutions under grant PPZY2015B135, the Science and Technology Program of Nantong under grant GY22017013, the Open Research Fund of Nantong University-Nantong Joint Research Center for Intelligent Information Technology under grant KFKT2017B02, the Postgraduate Research and Practice Innovation Program of Jiangsu Province under grant SJKY19 2375 and ATOM project H2020-MSCA-RISE-2015 under grant 690750. Publisher Copyright: {\textcopyright} 2019 IEEE.; 2019 IEEE Global Communications Conference, GLOBECOM 2019 ; Conference date: 09-12-2019 Through 13-12-2019",
year = "2019",
month = dec,
doi = "10.1109/GLOBECOM38437.2019.9013785",
language = "British English",
series = "2019 IEEE Global Communications Conference, GLOBECOM 2019 - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2019 IEEE Global Communications Conference, GLOBECOM 2019 - Proceedings",
address = "United States",
}