A4 Article in conference proceedings
Secrecy Limits of Energy Harvesting IoT Networks under Channel Imperfections (2020)

Jameel, Furqan; Chang, Zheng; Jantti, Riku (2020). Secrecy Limits of Energy Harvesting IoT Networks under Channel Imperfections. In 2020 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops). Piscataway, NJ: IEEE, 1-6. DOI: 10.1109/percomworkshops48775.2020.9156197

JYU authors or editors

Publication details

All authors or editors: Jameel, Furqan; Chang, Zheng; Jantti, Riku

Parent publication: 2020 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)


IEEE international conference on pervasive computing and communications workshops

Place and date of conference: Austin, TX, USA, 23.-27.3.2020

eISBN: 978-1-7281-4716-1

Publication year: 2020

Pages range: 1-6

Publisher: IEEE

Place of Publication: Piscataway, NJ

Publication country: United States

Publication language: English

DOI: http://doi.org/10.1109/percomworkshops48775.2020.9156197

Open Access: Publication channel is not openly available

Web address of parallel published publication (pre-print): https://arxiv.org/abs/2008.01835


Simultaneous wireless information and power transfer (SWIPT) has recently gathered much research interest from both academia and industry as a key enabler of energy harvesting Internet-of-things (IoT) networks. Due to a number of growing use cases of such networks, it is important to study their performance limits from the perspective of physical layer security (PLS). With this intent, this work aims to provide a novel analysis of the ergodic secrecy capacity of a SWIPT system is provided for Rician and Nakagami- m faded communication links. For a realistic evaluation of the system, the imperfections of channel estimations for different receiver designs of the SWIPT-based IoT systems have been taken into account. Subsequently, the closed-form expressions of the ergodic secrecy capacities for the considered scenario are provided and, then, validated through extensive simulations. The results indicate that an error ceiling appears due to imperfect channel estimation at high values of signal-to-noise ratio (SNR). More importantly, the secrecy capacity under different channel conditions stops increasing beyond a certain limit, despite an increase of the main link SNR. The in-depth analysis of secrecy-energy trade-off has also been performed and a comparison has been provided for imperfect and perfect channel estimation cases. As part of the continuous evolution of IoT networks, the results provided in this work can help in identifying the secrecy limits of IoT networks in the presence of multiple eavesdroppers.

Keywords: wireless networks; wireless data transmission; communications technology; Internet of things; performance (physical capacity); safety and security; energy harvesting

Free keywords: energy harvesting; wireless communication; channel estimation; communication system security; performance evaluation; Rician channels; signal to noise ratio

Contributing organizations

Ministry reporting: Yes

Last updated on 2020-06-08 at 10:14