DocumentCode
2567593
Title
Adaptive Service Framework Based on Grey Decision-Making in the Internet of Things
Author
Liu, Jianhua ; Tong, Weiqin
Author_Institution
Sch. of Comput. Sci. & Eng., Shanghai Univ., Shanghai, China
fYear
2010
fDate
23-25 Sept. 2010
Firstpage
1
Lastpage
4
Abstract
In the internet of things(IoT) environment, the dynamic service is the use of resource allocation, service composition and service methods such as internal adjustment of the system to achieve an important mechanism for QoS management, in the device layer, dynamic service provides a flexible self-adaptive applications for RFID. However, smart devices such as mobile reader of resources are scarce in the internet of things, in addition,the wireless sensor devices form more intelligent environment interface, so the more interface access to fewer resources,which greatly reduce the network objects together intelligence, it is necessary to call the interface of IoT dynamic allocation of resources, composition, adjustment, thereby enhancing the IoT network and intelligent applications. In this article, in the complex networked environment a self-adaptive dynamic service was introduced, a novel adaptive method proposed, the method for a control decision-making system to reduce the consumption of devices resources, and the effect measure adjustment based QoS dynamic service.
Keywords
Internet; decision making; quality of service; resource allocation; Internet; QoS management; adaptive service framework; complex networked environment; dynamic service; grey decision making; resource allocation; self-adaptive applications; Adaptation model; Computational modeling; Context; Decision making; Internet; Quality of service; Radiofrequency identification;
fLanguage
English
Publisher
ieee
Conference_Titel
Wireless Communications Networking and Mobile Computing (WiCOM), 2010 6th International Conference on
Conference_Location
Chengdu
Print_ISBN
978-1-4244-3708-5
Electronic_ISBN
978-1-4244-3709-2
Type
conf
DOI
10.1109/WICOM.2010.5601403
Filename
5601403
Link To Document