This page has only limited features, please log in for full access.

Mr. Gilles Callebaut
KU Leuven, DRAMCO, Department of Electrical Engineering (ESAT), Ghent Technology Campus, 9000 Ghent, Belgium

Basic Info


Research Keywords & Expertise

0 IoT
0 Massive Mimo
0 LoRaWAN
0 LPWAN
0 Low-power devices

Honors and Awards

The user has no records in this section


Career Timeline

The user has no records in this section.


Short Biography

The user biography is not available.
Following
Followers
Co Authors
The list of users this user is following is empty.
Following: 0 users

Feed

Review
Published: 29 January 2021 in Sensors
Reads 0
Downloads 0

Long-range wireless connectivity technologies for sensors and actuators open the door for a variety of new Internet of Things (IoT) applications. These technologies can be deployed to establish new monitoring capabilities and enhance efficiency of services in a rich diversity of domains. Low energy consumption is essential to enable battery-powered IoT nodes with a long autonomy. This paper explains the challenges posed by combining low-power and long-range connectivity. An energy breakdown demonstrates the dominance of transmit and sleep energy. The principles for achieving both low-power and wide-area are outlined, and the landscape of available networking technologies that are suited to connect remote IoT nodes is sketched. The typical anatomy of such a node is presented, and the subsystems are zoomed into. The art of designing remote IoT devices requires an application-oriented approach, where a meticulous design and smart operation are essential to grant a long battery life. In particular we demonstrate the importance of strategies such as “think before you talk” and “race to sleep”. As maintenance of IoT nodes is often cumbersome due to being deployed at hard to reach places, extending the battery life of these devices is critical. Moreover, the environmental impact of batteries further demonstrates the need for a longer battery life in order to reduce the number of batteries used.

ACS Style

Gilles Callebaut; Guus Leenders; Jarne Van Mulders; Geoffrey Ottoy; Lieven De Strycker; Liesbet Van der Perre. The Art of Designing Remote IoT Devices—Technologies and Strategies for a Long Battery Life. Sensors 2021, 21, 913 .

AMA Style

Gilles Callebaut, Guus Leenders, Jarne Van Mulders, Geoffrey Ottoy, Lieven De Strycker, Liesbet Van der Perre. The Art of Designing Remote IoT Devices—Technologies and Strategies for a Long Battery Life. Sensors. 2021; 21 (3):913.

Chicago/Turabian Style

Gilles Callebaut; Guus Leenders; Jarne Van Mulders; Geoffrey Ottoy; Lieven De Strycker; Liesbet Van der Perre. 2021. "The Art of Designing Remote IoT Devices—Technologies and Strategies for a Long Battery Life." Sensors 21, no. 3: 913.

Conference paper
Published: 01 August 2020 in 2020 International Conference on Omni-layer Intelligent Systems (COINS)
Reads 0
Downloads 0

Many IoT applications require long range yet low power connectivity in dynamic environments. We assess and optimize their energy efficiency in a Long Range Wide Area Network (LoRaWAN) network following a cross-layer approach. The analysis demonstrates that the channel variation may significantly impact the quality of the transmission and the energy consumption of the nodes. A proactive adjustment strategy of the Adaptive Data Rate settings allows for optimization of the transmit energy. In addition, we show how trade-offs between robustness, energy efficiency and throughput can be made.

ACS Style

Gilles Callebaut; Geoffrey Ottoy; Liesbet Van Der Perre. Optimizing Transmission of IoT Nodes in Dynamic Environments. 2020 International Conference on Omni-layer Intelligent Systems (COINS) 2020, 1 -5.

AMA Style

Gilles Callebaut, Geoffrey Ottoy, Liesbet Van Der Perre. Optimizing Transmission of IoT Nodes in Dynamic Environments. 2020 International Conference on Omni-layer Intelligent Systems (COINS). 2020; ():1-5.

Chicago/Turabian Style

Gilles Callebaut; Geoffrey Ottoy; Liesbet Van Der Perre. 2020. "Optimizing Transmission of IoT Nodes in Dynamic Environments." 2020 International Conference on Omni-layer Intelligent Systems (COINS) , no. : 1-5.

Conference paper
Published: 01 June 2020 in ICC 2020 - 2020 IEEE International Conference on Communications (ICC)
Reads 0
Downloads 0

Channel estimation is essential in massive MIMO systems. Pilot Contamination (PC) however, causes a major bottleneck in the acquisition of this information. The exploitation of the Angle of Arrival (AoA) provides multiple techniques for channel estimation under PC. However, many AoA estimation techniques require information on the signal statistics which is not available in dynamic scenarios. In this paper we propose and analyse the Matrix Pencil Method (MPM) to decorrelate contaminated channels based on their estimated AoA. We evaluate this method both through simulations and experiments in a real-life testbed. Our assessment focuses on a system with a Uniform Linear Array (ULA). The performance of the MPM is validated through simulations 1 with varying number of antennas, SNR and AoA difference. The results show that our approach effectively decorrelates the channels starting from 20 antennas and an SNR of 15 dB, which outperforms the theoretical expectation. This allows us to enhance the channel estimation quality under PC to the level of no PC. Real-life measurements confirm the simulated results. Our MPM implementation can achieve a target AoA estimation accuracy both with and without PC. We anticipate that the method can be extended for a Uniform Rectangular Array (URA). 1 We would like to thank NVIDIA for providing the GPU that was used to greatly accelerate our simulations.

ACS Style

Laura Monteyne; Andrea P. Guevara; Gilles Callebaut; Sara Gunnarsson; Liesbet Van Der Perre; Sofie Pollin. Matrix Pencil Method: Angle of Arrival and Channel Estimation for a Massive MIMO system. ICC 2020 - 2020 IEEE International Conference on Communications (ICC) 2020, 1 -6.

AMA Style

Laura Monteyne, Andrea P. Guevara, Gilles Callebaut, Sara Gunnarsson, Liesbet Van Der Perre, Sofie Pollin. Matrix Pencil Method: Angle of Arrival and Channel Estimation for a Massive MIMO system. ICC 2020 - 2020 IEEE International Conference on Communications (ICC). 2020; ():1-6.

Chicago/Turabian Style

Laura Monteyne; Andrea P. Guevara; Gilles Callebaut; Sara Gunnarsson; Liesbet Van Der Perre; Sofie Pollin. 2020. "Matrix Pencil Method: Angle of Arrival and Channel Estimation for a Massive MIMO system." ICC 2020 - 2020 IEEE International Conference on Communications (ICC) , no. : 1-6.

Journal article
Published: 15 November 2019 in IEEE Internet of Things Journal
Reads 0
Downloads 0
ACS Style

Gilles Callebaut; Liesbet Van der Perre. Characterization of LoRa Point-to-Point Path Loss: Measurement Campaigns and Modeling Considering Censored Data. IEEE Internet of Things Journal 2019, 7, 1910 -1918.

AMA Style

Gilles Callebaut, Liesbet Van der Perre. Characterization of LoRa Point-to-Point Path Loss: Measurement Campaigns and Modeling Considering Censored Data. IEEE Internet of Things Journal. 2019; 7 (3):1910-1918.

Chicago/Turabian Style

Gilles Callebaut; Liesbet Van der Perre. 2019. "Characterization of LoRa Point-to-Point Path Loss: Measurement Campaigns and Modeling Considering Censored Data." IEEE Internet of Things Journal 7, no. 3: 1910-1918.

Conference paper
Published: 01 March 2019 in 2019 IEEE Sensors Applications Symposium (SAS)
Reads 0
Downloads 0

Various distributed sensing applications are being deployed in the context of crowd-sensing. These applications often require that sensors are mutually synchronized. However, when synchronization is required in a setting where volunteers bring their own mobile device, to contribute to a measurement campaign, several issues arise. This paper analyses and evaluates the Android mobile platform for applications which require collaborative continuous sensing. These applications rely on time synchronized devices to sample sensors at a high data rate and without discontinuities. We show that it is feasible to synchronize smartphones without limiting the system's scalability, or introducing additional power consumption. Furthermore, the challenges related to continuous sensing in Android for crowd- sensing applications are identified.

ACS Style

Gilles Callebaut; Geoffrey Ottoy; Lieven De Strycker. Bring your own Sensor: Use your Android Smartphone as a Sensing Platform. 2019 IEEE Sensors Applications Symposium (SAS) 2019, 1 -5.

AMA Style

Gilles Callebaut, Geoffrey Ottoy, Lieven De Strycker. Bring your own Sensor: Use your Android Smartphone as a Sensing Platform. 2019 IEEE Sensors Applications Symposium (SAS). 2019; ():1-5.

Chicago/Turabian Style

Gilles Callebaut; Geoffrey Ottoy; Lieven De Strycker. 2019. "Bring your own Sensor: Use your Android Smartphone as a Sensing Platform." 2019 IEEE Sensors Applications Symposium (SAS) , no. : 1-5.

Journal article
Published: 30 January 2019 in Sensors
Reads 0
Downloads 0

Many commercial platforms for fast prototyping have gained support for lpwan technologies. However, these solutions do not meet the low-cost and low-power requirements for a large-scale distribution of battery-powered sensor nodes. This paper presents the design, realization and validation of an open-source lpwan versatile platform. Energy and cost are considered key constraints for this hardware design. A power-efficient LoRa radio interface is implemented by hosting MAC functionality on the application microcontroller, eliminating the need for a modem. In the system architecture, power and cost savings are obtained by omitting and controlling lossy power circuitry. The resulting platform allows entry-level prototyping, while featuring an ultra-low sleep power of 25.2 μ W . This makes lpwan sensor applications accessible in domains that would otherwise require custom hardware development. The proposed design is validated by an illustrative but functional example of sensor nodes deployed in the field.

ACS Style

Bart Thoen; Gilles Callebaut; Guus Leenders; Stijn Wielandt. A Deployable LPWAN Platform for Low-Cost and Energy-Constrained IoT Applications. Sensors 2019, 19, 585 .

AMA Style

Bart Thoen, Gilles Callebaut, Guus Leenders, Stijn Wielandt. A Deployable LPWAN Platform for Low-Cost and Energy-Constrained IoT Applications. Sensors. 2019; 19 (3):585.

Chicago/Turabian Style

Bart Thoen; Gilles Callebaut; Guus Leenders; Stijn Wielandt. 2019. "A Deployable LPWAN Platform for Low-Cost and Energy-Constrained IoT Applications." Sensors 19, no. 3: 585.