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Multi-Objective Optimization of Task-to-Node Assignment in Opportunistic Fog RAN

Department of Electrical and Electronic Engineering, Auckland University of Technology, Private Bag 92006, Auckland 1142, New Zealand
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Electronics 2020, 9(3), 474; https://doi.org/10.3390/electronics9030474
Received: 11 February 2020 / Revised: 9 March 2020 / Accepted: 9 March 2020 / Published: 12 March 2020
(This article belongs to the Special Issue Opportunistic Networks)
The opportunistic fog radio access network (OF-RAN) is a promising RAN architecture proposed for next-generation cellular networks. OF-RAN extends the current fog RAN (F-RAN) architecture by introducing virtual fog access points (v-FAPs) that can be formed on-demand by a set of resourceful end-user devices available in an opportunistic manner. These devices in the v-FAP collaboratively serve as the service nodes to a resource-limited local client by performing resource-demanding processing tasks on its behalf. Hence, appropriately assigning the client task to the service nodes of the v-FAP, i.e., task-to-node assignment (TNA), is a fundamental problem in OF-RAN. This paper formulates and solves the TNA as a multi-objective optimization problem, with the goals of minimizing energy and latency of the v-FAP, while maximizing fairness (or load balancing) amongst its service nodes by minimizing their maximum load. View Full-Text
Keywords: radio access network; fog computing; opportunistic network; task-to-node assignment; multi-objective optimization; MOEA/D radio access network; fog computing; opportunistic network; task-to-node assignment; multi-objective optimization; MOEA/D
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Jijin, J.; Seet, B.-C.; Chong, P.H.J. Multi-Objective Optimization of Task-to-Node Assignment in Opportunistic Fog RAN. Electronics 2020, 9, 474.

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