Paper Info
Title
The Elimination-Selection Based Algorithm For Efficient Resource Discovery In Internet Of Things Environments
Abstract
Every day more and more objects are connected to the Internet to sense or actuate in some environment, composing the Internet of Things. IoT platforms will play a key role, as they will be responsible for managing low-level devices and data acquisition processes, and also support the development of new applications. One of the main challenges in IoT platforms will be the search and discovery of resources in large-scale and heterogeneous environments for reuse by other applications to support their specific requirements. In this paper, we propose an elimination-selection algorithm for search and discovery of resources in IoT environments. Our case study considers a real agricultural problem to be solved by the ViSIoT tool. The results show that our approach improves the quality of the proposed solution adding a small time overhead when compared to the TOPSIS algorithm used by ViSIoT.
Year
Venue
Keywords
2018
2018 15TH IEEE ANNUAL CONSUMER COMMUNICATIONS & NETWORKING CONFERENCE (CCNC)
Internet of Things, Multiple Criteria Decision Analysis, Resource Discovery, Resource Search
Field
DocType
ISSN
Middleware,Computer science,Reuse,Intelligent sensor,Data acquisition,Internet of Things,Computer network,Algorithm,TOPSIS,The Internet,Distributed computing
Conference
2331-9852
Citations 
PageRank 
References 
1
0.35
0
Authors
5
Name
Order
Citations
PageRank
Luiz Henrique Nunes164.87
Júlio C. Estrella29718.58
Charith Perera382750.52
Stephan Reiff-marganiec469462.73
Alexandre C. B. Delbem515428.97