Paper Info
Title
Distributed Offloading in Overlapping Areas of Mobile-Edge Computing for Internet of Things
Abstract
With the maturity of 5G cellular communication systems and mobile-edge computing (MEC), a large number of base stations (BSs) with edge-computing servers are densely deployed. There are extensive overlapping coverage areas among the BSs in which some heavy computational tasks from Internet of Things (IoT) devices can be divided and offloaded to multiple BSs via the coordinated multipoint (CoMP) technique for parallel processing. However, it is a challenging issue about how to make proper task offloading decisions among multiple connected BSs while satisfying delay requirements of multiple devices. To address this challenge, this article presents an efficient multidevice and multi-BSs task offloading scheme with the goal of minimizing the delay for completing the tasks of the devices. By conducting quantitative analysis of local delay and offloading delay, a nonlinear and nonconvex delay optimization offloading problem, which is based on the theory of noncooperative game, is formulated. We prove the existence of Nash equilibrium by analyzing the feature of the proposed offloading problem and further propose a distributed task offloading algorithm called DOLA. Finally, simulation experiments based on real-world data set from the Melbourne CBD area of Australia are conducted to validate the efficacy of our DOLA algorithm. Comparison experiments are also carried out to demonstrate the superiority of DOLA in comparison with some existing schemes.
Year
DOI
Venue
2022
10.1109/JIOT.2022.3143539
IEEE Internet of Things Journal
Keywords
DocType
Volume
Distributed task offloading,Internet of Things (IoT),mobile-edge computing (MEC),Nash equilibrium
Journal
9
Issue
ISSN
Citations 
15
2327-4662
1
PageRank 
References 
Authors
0.36
23
5
Name
Order
Citations
PageRank
Jiwei Huang117725.99
Ming Wang210.36
Yuan Wu353861.11
Ying Chen414121.89
Xuemin Shen515389928.67