Resource Discovery in High-Volume Internet of Things: Systematic Research
Mohd Tamizan Abu Bakar1, Azrul Amri Jamal2, Elissa Nadia Madi3

1Mohd Tamizan Abu Bakar, Faculty of Computer, Media and Technology, TATI University College, Jalan Panchor, Teluk Kalong, Kemaman, Terengganu, Malaysia.

2Azrul Amri Jamal, Faculty of Informatics and Computing, Universiti Sultan Zainal Abidin, Besut Campus, Besut, Terengganu Malaysia.

3Elissa Nadia Madi, Faculty of Informatics and Computing, Universiti Sultan Zainal Abidin, Besut Campus, Besut, Terengganu Malaysia.

Manuscript received on 08 December 2019 | Revised Manuscript received on 22 December 2019 | Manuscript Published on 31 December 2019 | PP: 437-444 | Volume-8 Issue-12S2 October 2019 | Retrieval Number: L108510812S219/2019©BEIESP | DOI: 10.35940/ijitee.L1085.10812S219

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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open-access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: 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.

Keywords: High-Volume Industrial Internet of Things (IIoT), IoT, Internet of Things (IoT), LoRa, NS-3 Simulator, Resource Discovery.
Scope of the Article: Internet of Things