Drakkar

Sacha Faure

Sacha FAURE — 2025-12-03T14:59:49Z

PhD thesis

- PhD Students

Marc Sanchez

Marc Sanchez — 2025-10-21T15:25:40Z

PhD thesis

- PhD Students

Localization in Wireless Sensor Networks: Communication Protocols and Energy Efficiency

Sadaf Tanvir — 2025-10-15T08:32:31Z

Available online

This thesis deals with localization and energy consumption in Wireless Sensor Networks (WSN). Communication cost is the major source of energy consumption during localization process in WSN. Carrying out WSN localization is a cooperative process throughout the whole network. There are many ways of organizing this cooperation. We propose three such possibilities in the form of our contributed protocols. Cooperation among distributed nodes generates many radio transmissions. Radio broadcasting is often seen as a drawback in WSN because of overhearing. Here, we turn this drawback into a key feature to improve energy consumption during localization. We analyze our protocols' convergence condition, propagation, speed and communication cost with a simulation tool. We show that one of our approach which takes the most benefit from overhearing, outperforms the other two both in terms of convergence speed and communication cost

CLOSED: PhD position on Random Access strategies for IoT traffic

Martin Heusse — 2025-06-19T08:27:02Z

Position: Ph.D. student

Location: Grenoble, France
Hosting university: Université Grenoble Alpes
Hosting laboratory: Laboratoire d'Informatique de Grenoble (LIG), DRAKKAR team
Contract: fixed-term three years
Supervision: Martin Heusse
Application deadline: ASAP
Duration: 3 years
Start day: ASAP

Context

The DONUTS project introduces several breakthrough approaches to the design, management, and optimization of Space-Air-Ground integrated networks. Its focus on seamless integration, resource management across heterogeneous technologies and scales, dynamic and adaptive control in the face of changing network conditions, and the innovative design and use of a Digital Twin for network infrastructure modeling and forecasting, represents significant contributions to the field of network research and engineering and has the potential to significantly impact the way future integrated network systems are conceived and operated.

In this PhD, the objective is to explore the potential of direct data transmission in cellular networks, instead of following the standard multi-step procedure.

Inspired by recent breakthroughs in LPWAN networks, the challenge is to evaluate the possibility of transmitting data directly in the slotted Aloha channel, by alleviating quasi-orthogonal codes and adjusting the transmission robustness to the channel conditions.

Your profile

Master's degree or equivalent in IT/CS/Telecom or a related field
Excellent programming and scripting (Python, Bash, other languages are a plus)
Proficiency in Debian/Ubuntu or other Unix-like operating systems
Good knowledge of TCP/IP networking
Some knowledge on radio networks (4g 5G WLAN LPWAN)
Excellent written and spoken English
Research experience is a plus
Industry experience is a plus

What we offer

The research team with a strong background in computer networking and cybersecurity.
Cutting-edge research topics. Our past projects include domain name classification, measurements of the deployment of source address validation, DNS interception, and zone poisoning, among others.
Publications at top conferences (e.g., Internet Measurement Conference, IEEE European Symposium on Security and Privacy, Network and Distributed System Security Symposium).
Strong supervision.
International and very dynamic team.

LIG laboratory is located in Grenoble, the capital of the Alps. It is a major French scientific and industrial center for computer science and applied mathematics. The city lies amidst three mountain ranges and offers an exceptional quality of life, with efficient public transportation and dedicated bikeways.

How to apply

Applicants should send a detailed CV along with a motivation letter, last diploma, transcripts of undergraduate and graduate studies to Martin.Heusse@imag.fr. Email subject must start with "[Ph.D. Application: Direct access]". References or letters of recommendation are appreciated. We will assess applications as they come in until the position is filled.