• Journal of Internet Computing and Services
    ISSN 2287 - 1136(Online) / ISSN 1598 - 0170 (Print)
    http://jics.or.kr/

A Method for Dynamic Clustering-based Efficient Management in Large-Scale IoT Environment


Dae Young Kim, Hyun Jung La, Journal of Internet Computing and Services, Vol. 15, No. 6, pp. 85-98, Dec. 2014
10.7472/jksii.2014.15.6.85, Full Text:
Keywords: IoT, Dynamic Clustering, Hierarchical Algorithm, Optimization, IoT Computing Environment

Abstract

IoT devices that collect information for end users and provide various services like giving traffic or weather information to them that are located everywhere aim to raise quality of life. Currently, the number of devices has dramatically increased so that there are many companies and laboratories for developing various IoT devices in the world. However, research about IoT computing such as connecting IoT devices or management is at an early stage. A server node that manages lots of IoT device in IoT computing environment is certainly needed. But, it is difficult to manage lots of devices efficiently. However, anyone cannot surly know about how many servers are needed or where they are located in the environment. In this paper, we suggest a method that is a way to dynamic clustering IoT computing environment by logical distance among devices. With our proposed method, we can ensure to manage the quality in large-scale IoT environment efficiently.


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Cite this article
[APA Style]
Dae Young Kim and Hyun Jung La (2014). A Method for Dynamic Clustering-based Efficient Management in Large-Scale IoT Environment. Journal of Internet Computing and Services, 15(6), 85-98. DOI: 10.7472/jksii.2014.15.6.85.

[IEEE Style]
D. Y. Kim and H. J. La, "A Method for Dynamic Clustering-based Efficient Management in Large-Scale IoT Environment," Journal of Internet Computing and Services, vol. 15, no. 6, pp. 85-98, 2014. DOI: 10.7472/jksii.2014.15.6.85.

[ACM Style]
Dae Young Kim and Hyun Jung La. 2014. A Method for Dynamic Clustering-based Efficient Management in Large-Scale IoT Environment. Journal of Internet Computing and Services, 15, 6, (2014), 85-98. DOI: 10.7472/jksii.2014.15.6.85.