Paper Info
Title
A dynamic skyline technique for a context-aware selection of the best sensors in an IoT architecture
Abstract
The integration of the Internet of Things (IoT) paradigm into web services and cloud computing allows us to handle thousands of sensors and their data. In this regard, sensing as a service model has recently emerged and the data generated by these sensors can be reused by different users and applications within IoT middleware solutions. With the huge number of sensors available in the IoT environment, the crucial challenge is how to efficiently search and select the best sensors depending on the users’ requirements. This paper aims to exploit the power of a dynamic skyline operator in the field of multi-criteria decision making, to reduce the search space for the purpose of improving the efficiency of context-awareness and selecting the best sensors following the users’ request. The architecture adopted in this proposition is composed by several gateways distributed in the network and connected with a server, where each gateway must respond to user requests locally. Hereafter, the server will aggregate the results of all gateways and give the final answer. The experimentation shows the efficiency of our method in comparison to existing ones.
Year
DOI
Venue
2018
10.1016/j.adhoc.2018.08.011
Ad Hoc Networks
Keywords
Field
DocType
Internet of Things,Middleware,Sensor search,Context-aware,Dynamic skyline,Multi-criteria decision making
Skyline,Architecture,Iot architecture,Computer science,Computer network,Exploit,Default gateway,Operator (computer programming),Web service,Distributed computing,Cloud computing
Journal
Volume
ISSN
Citations 
81
1570-8705
0
PageRank 
References 
Authors
0.34
22
7
Name
Order
Citations
PageRank
Ismail Kertiou100.34
Benharzallah Saber266.58
Kahloul Laid31713.20
Mounir Beggas400.34
Reinhardt Euler59528.50
Abdelkader Laouid6224.52
Ahcène Bounceur730635.05