Suitability of NB-IoT for indoor industrial environment: a survey and insights
| Autor: | Qammer H. Abbasi, Muhammad Imran, Shuja Ansari, Sajjad Hussain, Muhammad Dangana |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Narrow-Band IoT
self-organizing network (SON) Technology Computer science Internet of Things Context (language use) TP1-1185 Review Biochemistry Analytical Chemistry Computer Communication Networks Industrial IoT edge computing Wireless long term evolution (LTE) Industry Electrical and Electronic Engineering Instrumentation Edge computing latency business.industry Chemical technology wireless communication Atomic and Molecular Physics and Optics Variety (cybernetics) Network management Scalability Systems engineering business Wireless sensor network Wireless Technology |
| Zdroj: | Sensors (Basel, Switzerland) Sensors, Vol 21, Iss 5284, p 5284 (2021) |
| ISSN: | 1424-8220 |
| Popis: | The Internet of Things (IoT) and its applications in industrial settings are set to bring in the fourth industrial revolution. The industrial environment consisting of high profile manufacturing plants and a variety of equipment is inherently characterized by high reflectiveness, causing significant multi-path components that affect the propagation of wireless communications—a challenge among others that needs to be resolved. This paper provides a detailed insight into Narrow-Band IoT (NB-IoT), Industrial IoT (IIoT), and Wireless Sensor Networks (WSN) within the context of indoor industrial environments. It presents the applications of NB-IoT for industrial settings, such as the challenges associated with these applications. Furthermore, future research directions were put forth in the areas of NB-IoT network management using self-organizing network (SON) technology, edge computing for scalability enhancement, security in NB-IoT generated data, and proposing a suitable propagation model for reliable wireless communications. |
| Databáze: | OpenAIRE |
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