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Multiple Peer Chord Rings Approach for Device Discovery in IoT Environment.
- Source :
- Procedia Computer Science; 2017, Vol. 110, p125-134, 10p
- Publication Year :
- 2017
-
Abstract
- Recently, with the advances of information and electrical technologies, Internet of Thing (IoT) has moved from being a far vision to an increasing market reality. IoT promises to connect all physical “things” via a dynamic global network infrastructure and create intelligent behaviors in different contexts without human manipulations. In line with this development, the number of IoT solutions also have augmented exponentially covering many domains from health care, urban management to life quality improvement and so forth. However, separate appearances of these solutions today has led to barriers in enlarging smart environments because they lack a mechanism for integration. It is well-known that in the very near future, IoT requires the capabilities of high scale and dynamic adaptation with linking many new and existing smart contexts together. Hence, the need of having a comprehensive management method for the large-scale IoT environments is urgent at the time. In this paper, we focus on designing an overlay management architecture based on Chord algorithm to manage things in heterogeneous space. The architecture is a collection of multiple peer Chord rings, and thus each of these rings is considered as a smart context. We also bring forward operation mechanisms for the architecture such as thing identification, key insert/remove, key lookup and node joining/leave. Our proposed architecture is simulated and evaluated with diverse properties. The gained results showed the feasibility of our approach in reality meeting scalability, robustness and maintainability requirements applying to manage and control cyber-physical systems. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 18770509
- Volume :
- 110
- Database :
- Supplemental Index
- Journal :
- Procedia Computer Science
- Publication Type :
- Academic Journal
- Accession number :
- 124075945
- Full Text :
- https://doi.org/10.1016/j.procs.2017.06.133