Semantic Agent-Based Service Middleware and Simulation for Smart Cities
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 co...
Main Authors: | Ming Liu, Yang Xu, Haixiao Hu, Abdul-Wahid Mohammed |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2016-12-01
|
Series: | Sensors |
Subjects: | |
Online Access: | http://www.mdpi.com/1424-8220/16/12/2200 |
Similar Items
-
SmartCityWare: A Service-Oriented Middleware for Cloud and Fog Enabled Smart City Services
by: Nader Mohamed, et al.
Published: (2017-01-01) -
A Semantic Middleware Architecture Focused on Data and Heterogeneity Management within the Smart Grid
by: Rubén de Diego, et al.
Published: (2014-09-01) -
Semantic middleware for industrial sensors
by: Fernando Silva Parreiras, et al.
Published: (2017-12-01) -
A scalable middleware-based infrastructure for energy management and visualization in city districts
by: Francesco G. Brundu, et al.
Published: (2017-06-01) -
Infrastructure Multi-Layer Model for Smart Spaces Middleware Development
by: Sergey Marchenkov
Published: (2018-05-01)