Title: Lightweight semantic service modelling for IoT: an environment-based approach

Authors: Qiang Wei; Zhi Jin; Lixing Li; Ge Li

Addresses: Academy of Mathematics and System Science, Chinese Academy of Sciences, China ' Key Laboratory of High Confidence Software Technologies of Ministry of Education, Peking University, China; Academy of Mathematics and System Science, Chinese Academy of Sciences, China ' Academy of Mathematics and System Science, Chinese Academy of Sciences, China ' Key Laboratory of High Confidence Software Technologies of Ministry of Education, Peking University, China

Abstract: Combining service-oriented architecture (SOA) with internet of things (IoT) has been paid more and more attentions for encapsulating the functionalities of heterogeneous devices as IoT services and enabling things to interact and communicate with each other. However, the intermittent disconnection of wireless network, resource-constrained and mobility natures of devices, etc., bring challenges to service modelling. The dynamics availability and context of IoT service have become important concerns among others. This paper proposes an environment-based approach for service modelling in IoT. The WSMO-Lite has been adopted as the lightweight semantic service model. Then, the WSMO-Lite is extended for allowing modelling the dynamic context and availability of service. Firstly, an environmental entity model has been supplied for capturing the context. Secondly, the availability of service is represented in three dimensions: 1) two additional properties, i.e., location and available time are included in the service model; 2) a resource and mobility related QoS model is attached; 3) the dynamic behaviour of service has been represented by probabilistic automata.

Keywords: internet of things; IoT; WSMO-Lite; service modelling; probabilistic automata; lightweight semantic services; service-oriented architecture; SOA; dynamic modelling; service availability; environmental entity model; QoS; quality of service.

DOI: 10.1504/IJES.2016.076110

International Journal of Embedded Systems, 2016 Vol.8 No.2/3, pp.164 - 173

Received: 23 Sep 2014
Accepted: 01 Nov 2014
Published online: 26 Apr 2016 *

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