Advanced SearchSearch Tips
A Survey of the Self-Adaptive IoT Systems and a Compare and Analyze of IoT Using Self-Adaptive Concept
facebook(new window)  Pirnt(new window) E-mail(new window) Excel Download
 Title & Authors
A Survey of the Self-Adaptive IoT Systems and a Compare and Analyze of IoT Using Self-Adaptive Concept
Hwang, Seyoung; Seo, Jangill; Park, Sungjun; Park, Sangwon;
  PDF(new window)
IoT means things space networks that form the intelligent relationship such as sensing, networking, information processing about human being, things and service without explicit mutual cooperation of human being. Lately many IoT groups such as AllSeen Alliance, OIC launched a platform for IoT. Self-adaptive is aimed at implementation without the need for decisions of human being during the operation, so that the machine can respond to changes in its own determination. There is a need to apply the concept of self-adaptive to existing IoT and IoT platform. So In this paper, We look for trends of existing IoT, IoT platform and comparisons by applying a self-adaptive concept to IoT, IoT platform. In addition as an example of this paper, we suggest lacking self-adaptive elements to OIC.
 Cited by
D. Bandyopadhyay and J. Sen, "Internet of things: applications and challenges in technology and standardization," Wireless Personal Communications, Vol.58, No.1, pp.49-69, 2011. crossref(new window)

L. Atzori, A. Iera, and G. Morabito, "The internet of things: a survey," ComputerNetworks, Vol.54, No.15, pp.2787-2805, 2010.

H. Sundmaeker, P. Guillemin, P. Friess, and S. Woelffle, "Vision and challenges for realizing the internet of things," Cluster of European Research Projects on the Internet of Things, pp.229, 2010.

M. W. Kim and H. P. In, "The Concept and an Example of Self-Adaptive System of Systems," College of Information and Communications, 2014.

M. Morandini, L. Penserini, and A. Perini, "Towards Goal-Oriented Development of Self-Adaptive Systems," SEAMS '08 Proceedings of the 2008 International Workshop on Software Engineering for Adaptive and Selfmanaging Systems, pp.9-16, 2008.

S. W. Cheng, A. C. Huang, and B. Schmerl, "Rainbow: Architecture-Based Self-Adaptation with Reusable Infrastructure," IEEE on Computer, Vol.37, No.10, pp.46-54, 2004. crossref(new window)

C. Perer and D. Georgakopoulos, "Context aware computing for the internet of things : A survey," IEEE Communications Surveys & Tutorials, 2013.

W. J. Joe, M. Jiang, and K. Jeong, "An M2M/IoT based Smart Data Logger for Environmental Sensor Networks," Journal of KIISE, Vol.20, No.1, pp.1-5, 2014.

J. Ko, S. G. Hong, B. B. Lee, and N. S. Kim, "Trends of Converging Smart Devices with IoT Technology," Electronics and Telecommunications Trend, ETRI, Vol.28, No.4, 2013.

H. C. Betty, R. Lemos, H. Giese, P. Inverardi, and J. Magee, "Software Engineering for Self-Adaptive Systems: A Research Roadmap," Berlin: Springer-Verlag, pp.1-26, 2009.

S. H. Kim and S. W. Lee, "Designing behavior of self-adaptive software in aspect of agent-based software engineering," Journal of KIISE, pp.451-453, 2014.

W. E. Hong, D. H. Kim, and H. P. In, "Situation-based Behavioral Modeling for Self-Adaptive Software," College of Information and Communications, 2014.

S. Cho and H. In, "A M&S based system configuration method for Self-Adaptive System of Systems," College of Information and Communications, 2014.

P. Bresciani, P. Giorgini, F. Giunchiglia, J. Mylopoulos, and A. Perini. "Tropos: An Agent-Oriented Software Development Methodology. Autonomous Agents and Multi-Agent Systems," Autonomous Agents and Multi-Agent Systems, Vol.8, No.3, pp.203-236, 2004. crossref(new window)

Team Barrelfish, "Barrelfish Project," Systems Group: Department of Computer Scinece ETH Zurich, 2013.

H. Hoffmann, J. Holt, G. Kurian and E. Lau, "Self-aware Computing in the Angstrom Processor," IEEE on Design Automation Conference, pp.259-264, 2012.