DocumentCode
245833
Title
A Design and Implementation of Information Service Architecture for Resource-Constraint Devices in Internet of Things
Author
Mingliu Liu ; Deshi Li ; Haili Mao
Author_Institution
Sch. of Electron. Inf., Wuhan Univ. Wuhan, Wuhan, China
fYear
2014
fDate
19-21 Dec. 2014
Firstpage
1503
Lastpage
1508
Abstract
Billions of smart devices will be connected to the Internet to form the Internet of Things. The core value of IoT (Internet of Things) is to supply information services through the huge amounts of devices. Most of sensors, actors and terminal equipment such as mobile phones are resource-constrained in battery, bandwidth, storage and computation ability. Accordingly, we propose an information service architecture for IoT, which is a four-layer design including perception layer, network layer, service layer and process layer. We compare the data transmission methods in a resource-constrained condition and find that REST (Representational State Transfer) technology is more suitable. We analyze the device discovery process, and we implement the information service of image searching and video sharing based on the proposed architecture by using Restful technology.
Keywords
Internet; Internet of Things; Internet of Things; IoT; REST; data transmission methods; device discovery process; four-layer design; image searching; information service architecture; mobile phones; network layer; perception layer; process layer; representational state transfer technology; resource-constrained condition; resource-constraint devices; restful technology; sensors; service layer; smart devices; terminal equipment; video sharing; Computer architecture; Information services; Intelligent sensors; Internet of Things; Servers; Web services; Information service; Internet of Things; REST; cloud;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Science and Engineering (CSE), 2014 IEEE 17th International Conference on
Conference_Location
Chengdu
Print_ISBN
978-1-4799-7980-6
Type
conf
DOI
10.1109/CSE.2014.279
Filename
7023790
Link To Document