Title
An efficient algorithm for partially matched services in internet of services.
Abstract
Internet of Things (IoT) connects billions of devices in an Internet-like structure. Each device encapsulated as a real-world service which provides functionality and exchanges information with other devices. This large-scale information exchange results in new interactions between things and people. Unlike traditional web services, internet of services is highly dynamic and continuously changing due to constant degrade, vanish and possibly reappear of the devices, this opens a new challenge in the process of resource discovery and selection. In response to increasing numbers of services in the discovery and selection process, there is a corresponding increase in number of service consumers and consequent diversity of quality of service (QoS) available. Increase in both sidesu0027 leads to the diversity in the demand and supply of services, which would result in the partial match of the requirements and offers. This paper proposed an IoT service ranking and selection algorithm by considering multiple QoS requirements and allowing partially matched services to be counted as a candidate for the selection process. One of the applications of IoT sensory data that attracts many researchers is transportation especially emergency and accident services which is used as a case study in this paper. Experimental results from real-world services showed that the proposed method achieved significant improvement in the accuracy and performance in the selection process.
Year
DOI
Venue
2016
10.1007/s00779-016-0917-9
Personal and Ubiquitous Computing
Keywords
Field
DocType
Emergency service selection, Quality of Service (QoS), Internet of Things (IoS), Emergency service ranking, Partial matching
Mobile QoS,Services computing,Computer science,Computer security,Selection algorithm,Information exchange,Quality of service,Computer network,Differentiated service,Web service,Multimedia,Service delivery framework
Journal
Volume
Issue
ISSN
20
3
1617-4917
Citations 
PageRank 
References 
5
0.39
26
Authors
5
Name
Order
Citations
PageRank
Mariwan Ahmed150.73
Lu Liu213425.39
James Hardy3193.72
Yuan Bo4324.24
Nick Antonopoulos553148.72