Defence of doctoral dissertation in the field of communications engineering, doctoral student Badihi Behnam

Radio technologies for Internet of Things

Title of the doctoral dissertation is "Analysis and characterization of short-range and low-power radio technologies for Internet of Things: Protocol and Application"

Internet of Things (IoT) creates a network of physical objects realized with sensors, actuators, software and other technologies in order to exchange data over the Internet. IoT enables a networked society by providing new opportunities for industries, and a whole set of new service types (such as intelligent transportation, location-based services, asset tracking, smart monitoring, and management of objects). To enable this vision, various technologies are required to provide seamless connections among heterogeneous objects.

 Short-range, low-power radio technologies, among others, are the main enablers of the IoT ecosystem. However, to fulfill this vision, many unresolved challenges including reliability, throughput, availability, end-to-end delay and battery lifetime remain to be addressed. To this end, this thesis is an attempt to shed light on some of these challenges related to short-range low-power radio technologies. We consider Wi-Fi, Bluetooth Low Energy and Backscatter Communication System for this thesis which are regarded as suitable technologies in the short-range and low-power radio domains.

Furthermore, we provide a comprehensive survey of time synchronization (as an important characterization in wireless sensor networks) for IoT deployment. This work aims at aiding IoT practitioners to select appropriate clock synchronization components, whose importance changes from application to application in IoT deployments. Finally, we introduce an end-to-end IoT application by using short-range radio technology. We developed a low-cost automated indoor localization and tracking system using Bluetooth. This application indicates the importance of short-range radio in realizing IoT applications and services.

Opponent: Professor Carlo Fischione, KTH Royal Institute of Technology, Sweden

Custos: Professor Riku Jäntti, Aalto University School of Electrical Engineering, Department of Communications and Networking

Contact information of the doctoral student: Behnam Badihi, Aalto University School of Electrical Engineering, Department of Communications and Networking, [email protected], +358 50 3104211

The defence will be organized via remote technology (Zoom). Link to the online platform

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The doctoral dissertation is publicly displayed 10 days before the defence in the publication archive of Aalto University (

Electronic doctoral dissertation

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