Sensing as a Service- A Service-Oriented Collaborative Sensing Framework for Detecting Composite Events in Industrial Cyber-Physical System

Tao Wang, Hong Xiao, Lianglun Cheng

Abstract

The widespread deployment of sensors in Industrial Cyber-Physical System (ICPS) enables real-time monitoring kinds of composite events occurring in the industrial process. However, due to the high degree of heterogeneity of the sensing nodes in ICPSs, it is very hard to effectively composing the platform-specific functionalities provided by heterogeneous sensor nodes for detecting various composite events. In this article, by exploiting REST framework and expanding the basic architecture of S2aaS, we propose a service-oriented and lightweight collaborative sensing framework for detecting multiple composite events in ICPSs. Further, the specific implementation details about the process of RESTful service registry of sensing node, sensing service discovery and service composition is presented. We develop an application prototype to test the feasibility and scalability of the system, and the experiment results show that RESTful-based sensing service collaboration outperforms SOAP-based one with more lightweight communication and less power consumption as expected. Based on our proposed collaborative sensing framework with Restful sensing services, it is very convenient to provide a sensor web services for various requirements of composite event detection.

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Paper Citation


in Harvard Style

Wang T., Xiao H. and Cheng L. (2019). Sensing as a Service- A Service-Oriented Collaborative Sensing Framework for Detecting Composite Events in Industrial Cyber-Physical System.In Proceedings of the International Conference on Advances in Computer Technology, Information Science and Communications - Volume 1: CTISC, ISBN 978-989-758-357-5, pages 264-271. DOI: 10.5220/0008099402640271


in Bibtex Style

@conference{ctisc19,
author={Tao Wang and Hong Xiao and Lianglun Cheng},
title={Sensing as a Service- A Service-Oriented Collaborative Sensing Framework for Detecting Composite Events in Industrial Cyber-Physical System},
booktitle={Proceedings of the International Conference on Advances in Computer Technology, Information Science and Communications - Volume 1: CTISC,},
year={2019},
pages={264-271},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0008099402640271},
isbn={978-989-758-357-5},
}


in EndNote Style

TY - CONF

JO - Proceedings of the International Conference on Advances in Computer Technology, Information Science and Communications - Volume 1: CTISC,
TI - Sensing as a Service- A Service-Oriented Collaborative Sensing Framework for Detecting Composite Events in Industrial Cyber-Physical System
SN - 978-989-758-357-5
AU - Wang T.
AU - Xiao H.
AU - Cheng L.
PY - 2019
SP - 264
EP - 271
DO - 10.5220/0008099402640271