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International Journal of Sensors, Wireless Communications and Control

International Journal of Sensors, Wireless Communications and Control

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ISSN (Print): 2210-3279
ISSN (Online): 2210-3287

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Research Article

Sub-1 GHz RF-based Energy-efficient Sensor Node for Secure Communication in Low-power IoT and Embedded Applications

Author(s): Ishfaq Sultan*orcid of author and Mohammad Tariq Bandayauthors OrcID

Volume 14, Issue 4, 2024

Published on: 14 March, 2024

Page: [265 - 278] Pages: 14

DOI: 10.2174/0122103279287156240218044819

Price: $65

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Abstract

Background: The Internet of Things (IoT) devices consist of a microcontroller unit for data processing, a low-power wireless radio module for data transmission, and various sensors for data collection. The sensor nodes and processing devices used in the Internet of Things are resource-constrained, with power consumption and security being the two most critical parameters.

Objectives: This paper addresses the challenges of power consumption and security in IoT scenarios. It presents a low-power and secure heterogeneous multicore sensing architecture designed for low-power IoT and wireless sensor networks. The architecture comprises a sensing and control subsystem, an information processing unit, and a wireless communication module.

Methods: The architecture uses a microcontroller unit based on ARM Cortex M4, a low-power sub-1 GHz RF-compliant communication radio, and a few sensors. The proposed architecture has been implemented and tested using the Contiki Operating System.

Results: The implemented sensor node architecture demonstrated performance efficiency, lower energy consumption, and higher security.

Conclusion: By leveraging efficient power management, data transmission strategies, and cryptographic security, the architecture contributes to developing energy-efficient and secure IoT devices.

Keywords: Lightweight cryptography, digital processing, internet of things, sensor nodes, advanced encryption standard, heterogeneous multicore sensing architecture.

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Graphical Abstract

Graphical abstract illustrating key findings of the study

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