Communications of smart systems based on software-defined radio and internet of things

Samer Jaloudi ()

Edelweiss Applied Science and Technology, 2025, vol. 9, issue 5, 2337-2346

Abstract: The Internet of Things (IoT) concept has many applications in smart systems, such as smart homes, smart cities, and smart healthcare systems. Many IoT-based systems have three layers: the things, the fog, and the cloud. IoT-based systems depend on a wireless telecommunication protocol to exchange data with sensors and actuators in the things layer. Bluetooth, Bluetooth Low Energy (BLE), Zigbee, and WiFi are examples of such protocols. These protocols use diverse and different transmit and receive modules that depend on a specific frequency. The challenge is to use a single, power-efficient, moderate-cost platform for the reception of wireless signals of these protocols in the fog layer and to work with the gateway’s protocol for interoperability. The software-defined radio (SDR) is a reconfigurable radio frequency (RF) platform that can serve as a multi-frequency receiver. This research proposes in the fog layer an SDR platform and a gateway that receives data from this platform, reformats it into JavaScript Object Notation (JSON) to achieve interoperability, and transfers the information over HTTP(S) to online servers in the cloud layer. The developed system is moderate-cost, power-efficient, easy to set up, interoperable, and can be used for all IoT-based smart systems that follow the three-layer architecture.

Keywords: Gateway; HTTP; IoT; Lime; SDR; Protocols; RF; SDR; Wireless. (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
https://learning-gate.com/index.php/2576-8484/article/view/7467/2568 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ajp:edwast:v:9:y:2025:i:5:p:2337-2346:id:7467

Access Statistics for this article

More articles in Edelweiss Applied Science and Technology from Learning Gate
Bibliographic data for series maintained by Melissa Fernandes ().