dc.contributor.author | Zhao, Z | |
dc.contributor.author | Min, G | |
dc.contributor.author | Gao, W | |
dc.contributor.author | Wu, Y | |
dc.contributor.author | Duan, H | |
dc.contributor.author | Ni, Q | |
dc.date.accessioned | 2018-06-04T09:59:22Z | |
dc.date.issued | 2018-04-06 | |
dc.description.abstract | The recent advances in microelectronics and communications have led to the development of large-scale IoT networks, where tremendous sensory data is generated and needs to be processed. To support real-time processing for large-scale IoT, deploying edge servers with storage and computational capability is a promising approach. In this paper, we carefully analyze the impacting factors and key challenges for edge node deployment. We then propose a novel three-phase deployment approach which considers both traffic diversity and the wireless diversity of IoT. The proposed work aims at providing real-time processing service for the IoT network and reducing the required number of edge nodes. We conducted extensive simulation experiments, the results show that compared to the existing works that overlooked the two kinds of diversities, the proposed work greatly reduces the number of edge nodes and improves the throughput between IoT and edge nodes. | en_GB |
dc.description.sponsorship | This work was supported by the National Natural
Science Foundation of China (No. 61602095), the National
Key Research and Development Program of China
(2017YFB1400102), the Fundamental Research Funds for
the Central Universities (No. ZYGX2016KYQD098 and No.
ZYGX2016J079), National Postdoctoral Program for Innovative
Talents of China, and the EU FP7 CLIMBER project
under Grant Agreement No. PIRSES-GA-2012-318939. | en_GB |
dc.identifier.citation | Available online 09 April 2018 | en_GB |
dc.identifier.doi | 10.1109/JIOT.2018.2823498 | |
dc.identifier.uri | http://hdl.handle.net/10871/33072 | |
dc.language.iso | en | en_GB |
dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) | en_GB |
dc.rights | © 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be
obtained for all other uses, in any current or future media, including
reprinting/republishing this material for advertising or promotional purposes, creating new
collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted
component of this work in other works. | en_GB |
dc.subject | IoT | en_GB |
dc.subject | Large-scale | en_GB |
dc.subject | Edge Computing | en_GB |
dc.subject | Deployment | en_GB |
dc.title | Deploying edge computing nodes for large-scale IoT: A diversity aware approach | en_GB |
dc.type | Article | en_GB |
dc.date.available | 2018-06-04T09:59:22Z | |
dc.identifier.issn | 2327-4662 | |
dc.description | This is the author accepted manuscript. The final version is available from the publisher via the DOI in this record | en_GB |
dc.identifier.journal | IEEE Internet of Things Journal | en_GB |