DocumentCode
2543388
Title
Spontaneous service provision framework based on semantic object
Author
Dong, Zhong ; Yian, Zhu ; Wanbao, Lei ; Jianhua, Gu ; Yunlan, Wang
Author_Institution
Dept. of Comput. Sci. & Eng., Northwestern Polytech. Univ., Xi´´an, China
fYear
2010
fDate
16-18 April 2010
Firstpage
404
Lastpage
408
Abstract
This paper describes the core of an spontaneous service provision framework offering general functionality based on objects in Internet of Things. The framework supports sensor, wireless network and end system based on services and service features. The framework is more generic than traditional hierarchical sensor and actuator networks framework. It supports grids and spontaneous service provision. In the framework, techniques of spontaneous service provision, grid, context-aware, semantic reasoning, and pervasive service management are smoothly synthesized. A seven-layer conceptual architecture is introduced on the basis of functional characteristics of framework. It enables objects in domain of things to interact spontaneously, provides semantic-integration context awareness, and supports meta-service based adaptability and scalability.
Keywords
Internet; grid computing; ubiquitous computing; wireless sensor networks; Internet; actuator networks framework; hierarchical sensor; meta-service based adaptability; pervasive service management; semantic integration context awareness; semantic object; semantic reasoning; service features; seven-layer conceptual architecture; spontaneous service provision framework; wireless network; Actuators; Application software; Computer science; Context-aware services; Home appliances; Network synthesis; Sensor phenomena and characterization; Sensor systems; Web and internet services; Wireless sensor networks; Internet of Things; semantic reasoning; web service;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Management and Engineering (ICIME), 2010 The 2nd IEEE International Conference on
Conference_Location
Chengdu
Print_ISBN
978-1-4244-5263-7
Electronic_ISBN
978-1-4244-5265-1
Type
conf
DOI
10.1109/ICIME.2010.5477595
Filename
5477595
Link To Document