PhD Theses

PhD theses from CMI

Cluster Framework for Internet of People, Things and Services

Gitanjali Shinde


In the 21st century, more and more devices around us are being connected to the Internet, contributing to what is commonly known as the Internet of Things (IoT). Current IoT architectures are mostly deployed with a control and automation perspective, but IoT also has the potential to offer a lot of benefits and services for the end users. This future vision will extend the IoT to the "Internet of People, Things and Services” (IoPTS).

In a given context, a large number of IoT devices may need to work together and organizing them as a scalable network of devices is a major challenge for IoPTS. Furthermore, a group of devices must somehow announce their services to those who wish to access them. Traditionally, Bluetooth and Wi-Fi technologies are used to advertise services at a given location. For IoPTS, energy-efficient service advertisement is needed because the advertiser device might be battery-powered.

The service advertisement typically uses a broadcast approach and is not directed to a specific user. If a large number of services are available, the users should be able to personalize and filter the list of advertised services. Hence, the service advertiser mechanism must present additional information to notify users about relevant services depending on their requirements, preferences and context.

The thesis focuses on questions like: How to organize a large number of IoT devices? How can a user be made aware about the IoT services provided at a particular location? How to filter services depending on the user’s preferences among a large number of available services?

This research work proposes a generic cluster framework, which addresses the organization of IoT devices, the service advertisement and the service discovery, and can enable seamless interaction between users and clusters of services in a variety of contexts.

Date of defence: 2018.05.08

See her publications.

PhD theses