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http://dx.doi.org/10.9717/kmms.2020.23.10.1258

IoT Roaming Service for Seamless IoT Service  

Ahn, Junguk (Dept. of IT Convergence Engineering, Graduate School, Gachon University)
Lee, Byung Mun (Dept. of Computer Engineering, IT College, Gachon University)
Publication Information
Journal of Korea Multimedia Society / v.23, no.10, 2020 , pp. 1258-1269 More about this Journal
Abstract
The IoT(Internet of Things) service provides users with valuable services by collecting and analyzing data using Internet-connected IoT devices. Currently, IoT service platforms are accomplished by using edge computing to reduce the delay time required to collect data from IoT devices. However, if a user moves to another network with IoT device, the connection will be lost and IoT service will be suspended. To solve this problem, we proposes a service that automatically roaming IoT service when IoT device makes move. IoT roaming service provides a device automatic tracking management technique designed to continue receiving IoT services even if users move to other networks. To check if the proposed roaming service was effective, we implemented IoT roaming service and measured the data transfer time while move between networks along with devices while using IoT service. As a result, the average data transfer time was 124.62ms, and the average service interrupt time was 812.12ms. with this result, we can assume that the user could feel service interruption time very shortly and it will not affect the service experience. with IoT roaming service, we expect that it will present a method that stably providing IoT services even if user moves networks.
Keywords
Internet of Things; Edge Computing; Roaming; Seamless Service; Protocol;
Citations & Related Records
Times Cited By KSCI : 13  (Citation Analysis)
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1 S.J. Jang and K.S. Nam, “Suggestion of Plans for Creation of Smart Home Service Environments in Housing Complex,” Journal of Digital Contents Society, Vol. 21, No. 1, pp. 219-228, 2020.   DOI
2 B.M. Lee, “Session Information Transfer Protocol for Exercise between Smart Posters for the Patient’s Active Movements,” Journal of Korea Multimedia Society, Vol. 20, No. 8, pp. 1439-1446, 2017.   DOI
3 H.D. Kim, S.J. Kim, and J.T. Lim, “The Study for City Innovation Platform Using Living Lab-based Smart City Service Modeling,” Korean Institute of Communications and Information Sciences, Vol. 45, No. 5, pp. 890-898, 2020.   DOI
4 J.H. Choi, U.G. Kang, and B.M. Lee, "Sleep Information Gathering Protocol Using CoAP for Sleep Care," Entropy, Vol. 19, No. 9, 2017.
5 K.H. Hong, B.M. Lee, and Y.J. Park, “Realtime Individual Identification Based on EOG Algorithm for Customized Sleep Care Service,” Journal of Convergence for Information Technology, Vol. 9, No. 12, pp. 8-16, 2019.   DOI
6 A. Fei, G. Pei, R. Liu, and L. Zhang, "Measurements on Delay and Hop-count of the Internet," Proceeding of IEEE GLOBECOM'98-Internet Mini-Conference, 1998.
7 F. Begtasevic and P.V. Mieghem, "Measurements of the Hopcount in Internet," Proceeding of A Workshop on Passive and Active Measurements, pp. 23-24, 2001.
8 D.H. Lee and D.S. Ko, “A Study on the Design of Forest IoT Network with Edge Computing,” Journal of Korean Institute of Information Technology, Vol. 16, No. 10, pp. 101-109, 2018.
9 H.M. Park and T.H. Hwang, “Changes and Trends in Edge Computing Technology,” Information and Communications Magazine, Vol. 36, No. 2, pp. 41-47, 2019.
10 H.S. Yang, J.W. Oh, and Y.H. Kim, “Open Stack and CNCF's Open Edge Computing Platform,” Information and Communications Magazine, Vol. 36, No. 9, pp. 55-62, 2019.
11 H.S. Hwang and Y.W. Seo, “A Development of Real-time Energy Usage Data Collection and Analysis System Based on the IoT,” Journal of Korea Multimedia Society, Vol. 22, No. 3, pp. 366-373, 2019.   DOI
12 K. Chaiwong, C. Karnjanapiboon, N. Wichan, N. Jaiinta, and C. Thawonngamyingsakul, "The IoT Based Temperature Monitoring and Air Inlet Optimization Controlling for Gasification Stove," Proceeding of Joint International Conference on Digital Arts, Media and Technology with ECTI Northern Section Conference on Electrical, Electronics, Computer and Telecommunications Engineering, pp. 387-391, 2019.
13 J. Ahn, S. Lee, S. Kang, H. Han, and B. M. Lee, "In-sleep Activity Detecting Algorithm for Sleepcare System," Proceeding of IEEE 14th International Conference on Semantic Computing, pp. 350-353, 2020.
14 B.M. Lee and H.J. Hwang, “Virtual Sleep Sensor with PSQI for Sleep Therapy Service,” Journal of Korea Multimedia Society, Vol. 18, No. 12, pp. 1538-1546, 2015.   DOI
15 K. Easwaran, "Brainwave Entrainment Using Visual-auditory Stimulation as Therapy for Sleep Disorders," Research Reports, Vol. 2, No. 1 pp. e1-e7, 2018.
16 H.S. Wi and B.M. Lee, “Customized Realtime Control of Sleep Induction Sound Based on Brain Wave Data,” Journal of Korea Multimedia Society, Vol. 23, No. 2, pp. 204-215, 2020.
17 H. Kim, Y. Lee, and D. Park, “Classification of Sleep Stages Using EOG, EEG, EMG Signal Analysis,” Journal of Korea Multimedia Society, Vol. 22, No. 12, pp. 1491-1499, 2019.   DOI
18 J. Ren, H. Guo, C. Xu, and Y. Zhang, “Serving at the Edge: A Scalable IoT Architecture Based on Transparent Computing,” IEEE Network, Vol. 31, No. 5, pp. 96-105, 2017.   DOI
19 J. Ahn and B.M. Lee, "Smart Edge Broker for Location-based Transfer between Services and Distributed Data in IoT Smart Services," Mobile Information Systems, Vol. 2020, Article ID 8896252, https://doi.org/10.1155/2020/8896252, 2020.
20 S. Xiang and N. Ansari, “EdgeIoT: Mobile Edge Computing for the Internet of Things,” IEEE Communications Magazine, Vol. 54, No. 12, pp. 22-29, 2016.   DOI
21 M.S. Son, S.H. Chung, and W.S. Kim, “Fog-Server Placement Technique Based on Network Edge Area Traffic for a Fog-computing Environment,” Journal of Korea Institute of Information Scientists and Engineers, Vol. 45, No. 6, pp. 598-610, 2018.