Lund, Skåne län, Sweden
14 hours ago
Master Thesis - WiFi HaLow Mesh Network Feasibility Study

Company Description

At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people’s lives. Our promise to our associates is rock-solid: we grow together, we enjoy our work, and we inspire each other. Join in and feel the difference.

Bosch R&D Center Lund stands for modern development in cutting edge technology in the areas of connectivity, security, mobility solutions and AI.  We are growing rapidly and looking for people to join us on our mission to become the Bosch Group’s 1st address for secure connected mobility solutions.  We are working on a range of interesting projects, with a particular focus on software development for the automotive industry, electrical bicycles and Internet of Things. 

Job Description

Problem statement

This Master Thesis in Software Engineering focuses on the comprehensive evaluation of WiFi HaLow (IEEE 802.11ah) technology for implementing distributed mesh networks in IoT and remote connectivity scenarios. The research combines theoretical analysis, empirical testing, and practical implementation to assess the viability of WiFi HaLow as a foundation for robust, long-range wireless mesh communications.

Research Objectives

The thesis aims to:

Investigate operational boundaries of WiFi HaLow mesh networks, including maximum effective range, environmental resilience (weather conditions, terrain obstacles), and geographical deployment constraintsAnalyze performance characteristics such as throughput capabilities, latency, packet loss rates, and network stability under varying load conditionsConduct market and technology assessment of available WiFi HaLow chipsets, compatible microcontrollers/microprocessors, and development platforms from current suppliersEvaluate mesh networking protocols and their compatibility with WiFi HaLow's sub-GHz characteristics, including self-healing capabilities and scalabilityDevelop a proof-of-concept implementation demonstrating key findings through a functional mesh network prototype with performance benchmarking

Outcomes/Deliverables

The thesis will provide a comprehensive feasibility analysis supported by empirical data, a comparative study of existing solutions, and a working demonstration that validates theoretical findings.

This research contributes to understanding WiFi HaLow's potential for next-generation IoT infrastructure and long-range wireless communications.

You will of course have the opportunity to shape the thesis based on your knowledge, skills and discoveries during the project.

Scope of master thesis project

Two students completing 30 credits each (20 weeks) onsite at the Lund office

Qualifications

Your profile

In order to be successful in the project with think you are:

Student in Information Technology, Computer Science, Electronics, Math or Physics.Required knowledge / courses on data science, cybersecurity and AIExperienced with or have at least some knowledge of programming in Python, C++ or similar.Self-driven, able to challenge yourself, and gain the experience needed to move the project forward.A person with team spirit, social skills and a curiosity for exploring new technology areas.

Additional Information

Why choose Bosch:

In 2022, for the third year in a row, Bosch have received the "World's Best Employer" award from Forbes/Statista, ranking us among the top 3% of the world's most attractive employers.

At Bosch we believe that diversity is our strength. We look at diversity in gender, generation, nationalities, and culture as our advantage. We believe mixed teams to be more successful because they utilize the potential offered by different perspectives and solution strategies. We therefore promote mixed teams at all levels and draw on the entire talent pool.

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