Abstract
With the development of Machine-to-Machine (M2M) technology, a variety of embedded and mobile devices is integrated to interact via the platform of the Internet of Things, especially in the domain of smart cities. One of the primary challenges is that selecting the appropriate services or service combination for upper layer applications is hard, which is due to the absence of a unified semantical service description pattern, as well as the service selection mechanism. In this paper, we define a semantic service representation model from four key properties: Capability (C), Deployment (D), Resource (R) and IOData (IO). Based on this model, an agent-based middleware is built to support semantic service enablement. In this middleware, we present an efficient semantic service discovery and matching approach for a service combination process, which calculates the semantic similarity between services, and a heuristic algorithm to search the service candidates for a specific service request. Based on this design, we propose a simulation of virtual urban fire fighting, and the experimental results manifest the feasibility and efficiency of our design.
Highlights
Machine-to-Machine (M2M) technology offers powerful support for integrating various devices, equipment and units, gives rise to new synergistic services for the smart city and goes beyond the services that can be provided by an isolated embedded system [1]
We proposed an agent-based, service-oriented middleware towards semantic service enablement in M2M application and a prototype implementation of this middleware
This middleware provides a semantic service representation model to support inter-operability between heterogeneous M2M services. It further enhances the specification of semantic services in a decentralized M2M environment using semantic annotation in sensed data
Summary
Machine-to-Machine (M2M) technology offers powerful support for integrating various devices, equipment and units, gives rise to new synergistic services for the smart city and goes beyond the services that can be provided by an isolated embedded system [1]. Albeit that some works provide registration-based service discovery and response mechanisms, the resources are scattered in every corner of the system, and it is still difficult to resolve the heterogeneity and loose coupling. A new middleware design pattern should be added to the existing M2M applications to support the general semantic service processing and scheduling of tremendous services within the system. This is the main motivation of the work proposed here. As the principal component in this paper, the authors introduce an agent-based middleware design for semantic service support and enablement in detail and discuss its performance in urban fire response
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