Mobile Edge Computing Empowers Internet of Things

Nirwan ANSARI; Xiang SUN

doi:10.1587/transcom.2017NRI0001

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Mobile Edge Computing Empowers Internet of Things

Nirwan ANSARI, Xiang SUN

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In this paper, we propose a Mobile Edge Internet of Things (MEIoT) architecture by leveraging the fiber-wireless access technology, the cloudlet concept, and the software defined networking framework. The MEIoT architecture brings computing and storage resources close to Internet of Things (IoT) devices in order to speed up IoT data sharing and analytics. Specifically, the IoT devices (belonging to the same user) are associated to a specific proxy Virtual Machine (VM) in the nearby cloudlet. The proxy VM stores and analyzes the IoT data (generated by its IoT devices) in real-time. Moreover, we introduce the semantic and social IoT technology in the context of MEIoT to solve the interoperability and inefficient access control problem in the IoT system. In addition, we propose two dynamic proxy VM migration methods to minimize the end-to-end delay between proxy VMs and their IoT devices and to minimize the total on-grid energy consumption of the cloudlets, respectively. Performance of the proposed methods is validated via extensive simulations.

Publication: IEICE TRANSACTIONS on Communications Vol.E101-B No.3 pp.604-619

Publication Date: 2018/03/01

Publicized: 2017/09/19

Online ISSN: 1745-1345

DOI: 10.1587/transcom.2017NRI0001

Type of Manuscript: Special Section INVITED PAPER (Special Section on Network Resource Control and Management for IoT Services and Applications)

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Authors

Nirwan ANSARI
New Jersey Institute of Technology
Xiang SUN
New Jersey Institute of Technology

Keyword

Internet of Things, mobile edge computing, cloudlet, semantics, social network, green energy

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Nirwan ANSARI, Xiang SUN, "Mobile Edge Computing Empowers Internet of Things" in IEICE TRANSACTIONS on Communications, vol. E101-B, no. 3, pp. 604-619, March 2018, doi: 10.1587/transcom.2017NRI0001.
Abstract: In this paper, we propose a Mobile Edge Internet of Things (MEIoT) architecture by leveraging the fiber-wireless access technology, the cloudlet concept, and the software defined networking framework. The MEIoT architecture brings computing and storage resources close to Internet of Things (IoT) devices in order to speed up IoT data sharing and analytics. Specifically, the IoT devices (belonging to the same user) are associated to a specific proxy Virtual Machine (VM) in the nearby cloudlet. The proxy VM stores and analyzes the IoT data (generated by its IoT devices) in real-time. Moreover, we introduce the semantic and social IoT technology in the context of MEIoT to solve the interoperability and inefficient access control problem in the IoT system. In addition, we propose two dynamic proxy VM migration methods to minimize the end-to-end delay between proxy VMs and their IoT devices and to minimize the total on-grid energy consumption of the cloudlets, respectively. Performance of the proposed methods is validated via extensive simulations.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.2017NRI0001/_p

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@ARTICLE{e101-b_3_604,
author={Nirwan ANSARI, Xiang SUN, },
journal={IEICE TRANSACTIONS on Communications},
title={Mobile Edge Computing Empowers Internet of Things},
year={2018},
volume={E101-B},
number={3},
pages={604-619},
abstract={In this paper, we propose a Mobile Edge Internet of Things (MEIoT) architecture by leveraging the fiber-wireless access technology, the cloudlet concept, and the software defined networking framework. The MEIoT architecture brings computing and storage resources close to Internet of Things (IoT) devices in order to speed up IoT data sharing and analytics. Specifically, the IoT devices (belonging to the same user) are associated to a specific proxy Virtual Machine (VM) in the nearby cloudlet. The proxy VM stores and analyzes the IoT data (generated by its IoT devices) in real-time. Moreover, we introduce the semantic and social IoT technology in the context of MEIoT to solve the interoperability and inefficient access control problem in the IoT system. In addition, we propose two dynamic proxy VM migration methods to minimize the end-to-end delay between proxy VMs and their IoT devices and to minimize the total on-grid energy consumption of the cloudlets, respectively. Performance of the proposed methods is validated via extensive simulations.},
keywords={},
doi={10.1587/transcom.2017NRI0001},
ISSN={1745-1345},
month={March},}

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TY - JOUR
TI - Mobile Edge Computing Empowers Internet of Things
T2 - IEICE TRANSACTIONS on Communications
SP - 604
EP - 619
AU - Nirwan ANSARI
AU - Xiang SUN
PY - 2018
DO - 10.1587/transcom.2017NRI0001
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E101-B
IS - 3
JA - IEICE TRANSACTIONS on Communications
Y1 - March 2018
AB - In this paper, we propose a Mobile Edge Internet of Things (MEIoT) architecture by leveraging the fiber-wireless access technology, the cloudlet concept, and the software defined networking framework. The MEIoT architecture brings computing and storage resources close to Internet of Things (IoT) devices in order to speed up IoT data sharing and analytics. Specifically, the IoT devices (belonging to the same user) are associated to a specific proxy Virtual Machine (VM) in the nearby cloudlet. The proxy VM stores and analyzes the IoT data (generated by its IoT devices) in real-time. Moreover, we introduce the semantic and social IoT technology in the context of MEIoT to solve the interoperability and inefficient access control problem in the IoT system. In addition, we propose two dynamic proxy VM migration methods to minimize the end-to-end delay between proxy VMs and their IoT devices and to minimize the total on-grid energy consumption of the cloudlets, respectively. Performance of the proposed methods is validated via extensive simulations.
ER -