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Semantic Agent-Based Service Middleware and Simulation for Smart Cities


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1

School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China

2

School of Engineering, University for Development Studies, Tamale 00233, Ghana





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Author to whom correspondence should be addressed.



Academic Editors: Andrea Zanella and Toktam Mahmoodi

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. View Full-Text

Keywords: smart city; agent-based middleware; semantic service; M2M smart city; agent-based middleware; semantic service; M2M





Autor: Ming Liu 1, Yang Xu 1,* , Haixiao Hu 1 and Abdul-Wahid Mohammed 2

Fuente: http://mdpi.com/



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