Cellular Internet of Things: Use cases, technologies, and future work
- Authors
- Moges, Teshager Hailemariam; Lakew, Demeke Shumeye; Nguyen, Ngoc Phi; Dao, Nhu-Ngoc; Cho, Sungrae
- Issue Date
- Dec-2023
- Publisher
- Elsevier B.V.
- Keywords
- Cellular Internet of Things; Internet of things; Machine-type communications; Mobile networks
- Citation
- Internet of Things (Netherlands), v.24
- Journal Title
- Internet of Things (Netherlands)
- Volume
- 24
- URI
- https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/67566
- DOI
- 10.1016/j.iot.2023.100910
- ISSN
- 2542-6605
2542-6605
- Abstract
- The Internet of Things (IoT) has revolutionized how we live and work by connecting everyday devices to the Internet. As the demand for IoT devices grows, a reliable and efficient communication infrastructure to support these devices has become crucial. Cellular IoT (CIoT) has emerged as a promising solution to this challenge, offering a low-cost, low-power, and scalable communication network for IoT devices. This paper presents a comprehensive overview of CIoT technology in response to the growing demand for IoT applications with low latency, high coverage, low power consumption, high device connection, and low cost. The four major CIoT technologies standardized by the Third Generation Partnership Project (3GPP) organization are investigated, including extended coverage global system for mobile communications IoT (EC-GSM-IoT), long-term evolution for machine-type communications (LTE-M), narrowband IoT (NB-IoT), and recently, new radio reduced capability (NR-RedCap). These technologies are analyzed regarding their fundamental focuses, features, use cases, requirements, and future work. In addition, we provide a comparative study of these types of IoT technology to assist researchers in understanding the available options and their potential limitations. Finally, open challenges are discussed to direct future research in the field. © 2023 Elsevier B.V.
- Files in This Item
- There are no files associated with this item.
- Appears in
Collections - College of Software > School of Computer Science and Engineering > 1. Journal Articles
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.