Faouzi Derbel

Prof. Faouzi Derbel

Department of Electrical Engineering and Information Technology, Leipzig University of Applied Sciences, Leipzig, Germany
orcid

Research Focus & Metrics

Academic Career Length

23Years (2004-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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14 January 2021 in Sensors
Verified
Journal Article
Open access
PDF file
Olfa KanounOlfa Kanoun
Olfa Kanoun
Sonia BradaiSonia Bradai
Sonia Bradai
Sabrine KherijiSabrine Kheriji
Sabrine Kheriji
Ghada BouattourGhada Bouattour
Ghada Bouattour
DHDhouha El Houssaini
Dhouha El Houssaini
CVChristian Viehweger
Christian Viehweger
Nowadays, wireless sensor networks are becoming increasingly important in several sectors including industry, transportation, environment and medicine. This trend is reinforced by the spread of Internet of Things (IoT) technologies in almost all sectors. Autonomous energy supply is thereby an essential aspect as it decides the flexible positioning and easy maintenance, which are decisive for the acceptance of this technology, its wide use and sustainability. Significant improvements made in the last years have shown interesting possibilities for realizing energy-aware wireless sensor nodes (WSNs) by designing manifold and highly efficient energy converters and reducing energy consumption of hardware, software and communication protocols. Using only a few of these techniques or focusing on only one aspect is not sufficient to realize practicable and market relevant solutions. This paper therefore provides a comprehensive review on system design for battery-free and energy-aware WSN, making use of ambient energy or wireless energy transmission. It addresses energy supply strategies and gives a deep insight in energy management methods as well as possibilities for energy saving on node and network level. The aim therefore is to provide deep insight into system design and increase awareness of suitable techniques for realizing battery-free and energy-aware wireless sensor nodes.

1 January 2018 in Procedia Computer Science
Verified
Journal Article
Open access
AGAmir Guidara
Amir Guidara
GFGhofrane Fersi
Ghofrane Fersi
Faouzi DerbelFaouzi Derbel
Faouzi Derbel
MJMaher Ben Jemaa
Maher Ben Jemaa

1 April 2021 in Ad Hoc Networks
Verified
Journal Article
Closed access
AGAmir Guidara
Amir Guidara
GFGhofrane Fersi
Ghofrane Fersi
MJMaher Ben Jemaa
Maher Ben Jemaa
Faouzi DerbelFaouzi Derbel
Faouzi Derbel


1 October 2019 in Ad Hoc Networks
Verified
Journal Article
Closed access
AGAmir Guidara
Amir Guidara
Faouzi DerbelFaouzi Derbel
Faouzi Derbel
GFGhofrane Fersi
Ghofrane Fersi
SBSadok Bdiri
Sadok Bdiri
MJMaher Ben Jemaa
Maher Ben Jemaa

22 December 2016 in Journal of Sensors and Sensor Systems
Verified
Journal Article
Open access
PDF file
SBSadok Bdiri
Sadok Bdiri
Faouzi DerbelFaouzi Derbel
Faouzi Derbel
OKOlfa Kanoun
Olfa Kanoun
In wireless sensor networks (WSNs), batteries are unlikely to be replaced or recharged once they get depleted, because of costs and feasibility. In a typical application, sensor nodes should be accessible and able to respond within a defined period of time, especially in real-time applications. However, the idle listening of the radio wastes most of the energy since the radio transceiver is constantly active. On the other hand, putting it into sleep state disconnects the node from the network. To cope with such a challenge, an ultra-low-power radio receiver referred to as a wake-up receiver (WuRx) handles the idle listening while keeping the main radio completely off. A WuRx consumes much less power than the main transceiver and triggers an interrupt only when a packet with a user-defined address is received. Embedding such a device enables better event-triggered applications where real-time behavior is required and a longer lifetime is mandatory. The proposed WuRx features practical sensitivity and includes the minimum number of active components in order to remain within the power budget. In this paper, an ultra-low-power WuRx with a power of 7.5 µW and a sensitivity of −60 dBm is developed. The decoding process of 16 bit of a wake-up packet (WuPt) takes less than 15 ms.