inis 14(1): e2

Research Article

Surfing the Internet-of-Things: Lightweight Access and Control ofWireless Sensor Networks Using Industrial Low Power Protocols

Download1292 downloads
  • @ARTICLE{10.4108/inis.1.1.e2,
        author={Zhengguo Sheng and Chunsheng Zhu and Victor C. M. Leung},
        title={Surfing the Internet-of-Things: Lightweight Access and Control ofWireless Sensor Networks Using Industrial Low Power Protocols},
        journal={EAI Endorsed Transactions on Industrial Networks and Intelligent Systems},
        volume={1},
        number={1},
        publisher={ICST},
        journal_a={INIS},
        year={2014},
        month={12},
        keywords={Internet-of-things, IPv6, RESTful, wireless sensor netorks},
        doi={10.4108/inis.1.1.e2}
    }
    
  • Zhengguo Sheng
    Chunsheng Zhu
    Victor C. M. Leung
    Year: 2014
    Surfing the Internet-of-Things: Lightweight Access and Control ofWireless Sensor Networks Using Industrial Low Power Protocols
    INIS
    ICST
    DOI: 10.4108/inis.1.1.e2
Zhengguo Sheng1,2, Chunsheng Zhu2,*, Victor C. M. Leung2
  • 1: Department of Engineering and Design, University of Sussex, UK
  • 2: Department of Electrical and Computer Engineering, The University of British Columbia, Canada
*Contact email: cszhu@ece.ubc.ca

Abstract

Internet-of-Things (IoT) is emerging to play an important role in the continued advancement of information and communication technologies. To accelerate industrial application developments, the use of web services for networking applications is seen as important in IoT communications. In this paper, we present a RESTful web service architecture for energy-constrained wireless sensor networks (WSNs) to enable remote data collection from sensor devices in WSN nodes. Specifically, we consider both IPv6 protocol support in WSN nodes as well as an integrated gateway solution to allow any Internet clients to access these nodes.We describe the implementation of a prototype system, which demonstrates the proposed RESTful approach to collect sensing data from a WSN. A performance evaluation is presented to illustrate the simplicity and efficiency of our proposed scheme.