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Optimizing M2M communications and quality of services in the IoT for sustainable smart cities
Jun Huang1; Cong-Cong Xing2; Sung Y. Shin3; Fen Hou4; d Ching-Hsien Hsu5
2018
Source PublicationIEEE Transactions on Sustainable Computing
ISSN1536-1233
Volume3Issue:1
Abstract

Machine-to-machine (M2M) communications and applications are expected to be a significant part of the Internet of Things (IoT). However, conventional network gateways reported in the literature are unable to provide sustainable solutions to the challenges posted by the massive amounts of M2M communications requests, especially in the context of the IoT for smart cities. In this paper, we present an admission control model for M2M communications. The model differentiates all M2M requests into delay-sensitive and delay-tolerant first, and then aggregates all delay-tolerant requests by routing them into one low-priority queue, aiming to reduce the number of requests from various devices to the access point in the IoT for smart cities. Also, an admission control algorithm is devised on the basis of this model to prevent access collision and to improve the quality of service. Performance evaluations by network calculus, numerical experiments, and simulations show that the proposed model is feasible and effective.

KeywordMachine-to-machine (M2m) Communications Internet Of Things (Iot) Sustainable Smart City Admission Control Performance Analysis
DOI10.1109/TSUSC.2017.2702589
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Document TypeJournal article
专题Faculty of Science and Technology
DEPARTMENT OF ELECTRICAL AND COMPUTER ENGINEERING
Affiliation1.Institute of Electronic Information and Networking, Chongqing University of Posts and Telecommunications, Chongqing 400065, China
2.Department of Mathematics and Computer Science, Nicholls State University, Thibodaux, LA 70310
3.Department of Electrical Engineering and Computer Science, South Dakota State University, Brookings, SD 57006.
4.Department of Electrical and Computer Engineering, University of Macau, Macau 999078, China.
5.School of Mathematics and Big Data, Foshan University, China, and the Department of Information Engineering and Computer Science, Feng Chia University, Taichung City, Taiwan 40724, R.O.C.
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Jun Huang,Cong-Cong Xing,Sung Y. Shin,et al. Optimizing M2M communications and quality of services in the IoT for sustainable smart cities[J]. IEEE Transactions on Sustainable Computing,2018,3(1).
APA Jun Huang,Cong-Cong Xing,Sung Y. Shin,Fen Hou,&d Ching-Hsien Hsu.(2018).Optimizing M2M communications and quality of services in the IoT for sustainable smart cities.IEEE Transactions on Sustainable Computing,3(1).
MLA Jun Huang,et al."Optimizing M2M communications and quality of services in the IoT for sustainable smart cities".IEEE Transactions on Sustainable Computing 3.1(2018).
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