Author, Institution: Nerijus Jusas, Kaunas University of Technology
Science Area, Field of Science: Technological Sciences, Informatics Engineering – 07T
Scientific Supervisor: Prof. dr. Algimantas Venčkauskas (Kaunas University of Technology, Technological Sciences, Informatics Engineering – 07T).
Dissertation Defence Board of Informatics Engineering Science Field:
Prof. Dr. Rimvydas SIMUTIS (Kaunas University of Technology, Technological Sciences, Informatics Engineering, 07T)
prof. habil. dr. Gintautas Dzemyda (Vilnius University, Technological Sciences, Informatics Engineering, 07T),
prof. dr. Arnas Kačeniauskas (Vilnius Gediminas Technical University, Technological Sciences, Informatics Engineering, 07T),
doc. dr. Raimundas Matulevičius (Tartu University, Estonia, Technological Sciences, Informatics Engineering, 07T),
doc. dr. Tomas Skersys (Kaunas University of Technology, Technological Sciences, Informatics Engineering, 07T).
The Doctoral Dissertation is available and at the libraries of Kaunas University of Technology (K. Donelaičio St. 20, Kaunas) and Vilnius Gediminas Technical University (Saulėtekio al. 14, Vilnius).
Annotation:
The dissertation presents Internet of Things applications development by using product line methodologies. The Internet of Things means highly heterogeneous worldwide network of uniquely addressable interconnected objects. Almost an infinity number of applications can be implemented by using the technologies of Internet of Things. There are several main Internet of Things applications which span across numerous application domains: smart energy, smart health, smart buildings, smart transport, smart industry and smart city. Typically, security/privacy, energy-awareness and environmental factors represent the major constraints in Internet of Things applications.
The aim of the thesis is the development of internet of Things applications in problematic domain(s) by using product line methodologies while accounting for Internet of Things applications, challenges: the complexity of requirements (security, energy consumption), the heterogeneity of technology, and the factor of environment.
The dissertation presents the Internet of Things applications development methods based on feature models. The prosed methods was used to implement the Internet of Things based healthcare application, which performs measurements of vital information about humans and sends this information for further processing.
