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Title	Novel Workload Balancing Method For Uav-Based Edge Cloud Computing Systems With Handover
ID_Doc	39506
Authors	Shimaday H.; Kawamotoy Y.; Katoy N.
Year	2020
Published	IEEE International Conference on Communications, 2020-June
DOI	http://dx.doi.org/10.1109/ICC40277.2020.9149072
Abstract	Internet of Things (IoT) has become an integral and pervasive part of everyday life, e.g. the infrastructure of intelligent traffic systems and smart cities. Such next-generation IoT applications require intelligent data processing that is performed via edge cloud computing (ECC) within a short period. In ECC, the edge server executes data processing; this is expected to reduce service delay. However, in the existing ECC research, infrastructure such as radio towers for communication and base stations for installing edge servers is indispensable; thus, it cannot respond to the demand for computing resources in the event of large-scale disasters and in infrastructureless areas. Therefore, researchers are studying the provision of computing resources using unmanned aerial vehicles (UAVs). On account of these studies, computation resources may be provided in several situations. However, in the face of this technology, to provide services with the delay time that the application allows, it is necessary to consider the workload balance and communication range of the UAV. In this paper, we propose a handover solution method considering workload balance and create a mathematical model with a transparent system. Moreover, numerical analyses show the effectiveness of the proposed method. With this contribution, it is possible to provide communication and computational resources in infrastructureless areas. © 2020 IEEE.
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