Resource discovery in high-volume internet of things: Systematic research

• Main Authors: Azrul Amri, Jamal, Elissa Nadia, Madi
• Format: Article
• Language: English
• Published: 2019
• Subjects: QA75 Electronic computers. Computer science
• Online Access: http://eprints.unisza.edu.my/6759/1/FH02-FIK-20-48589.pdf; http://eprints.unisza.edu.my/6759/

Currently, several issues in Internet of Things (IoT) resource discovery is still being analyzed and verified. This paper offers a comparison with systematic literature and solution perspective on the resources discovery issues in the high-volume IoT environment. The purpose is to recommend a clear review on how the resources could be maximize or improve properly within different IoT solutions. We compared and reviewed all IoT resource discovery literature and solutions, categorizing a final collection of 19 related papers and then produce summarisation in three different tables. Based on the outputs, we are able to provide an overview of the IoT resource discovery categories, main areas of the research, IoT platforms, simulation tools and recommended solutions. Finally, we hope this review can provides insight result for every IoT sources, propose appropriate techniques or methods that can help to ensure the IoT resource discovery becomes most effective in the future..