Network of Things for Medical Care


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Network of Things for Medical Care

by N.n.
Supervisor(s) Habtamu Abie, Wolfgang Leister, Rune Fensli, Josef Noll
Due date
Status Planned
Problem description: The Master’s thesis consists of a practical and theoretical work. The practical work includes setting up a development lab and simulation testbed for network of Things for medical care with associated software and simulation tools for performance analysis and proof‐of‐concept. Things include smart phones, sensors, sensor nodes and actuator nodes. The theoretical work includes the analysis and design of adaptive strategies for the dynamic interplay between security and data transmission in the setup mobile patient monitoring system that is capable of self‐organizing the communications among nodes. This will include a collection of procedures for network creation including network discovery, network access, topology learning, traffic determination, routing, and different quality of service (QoS) metrics.
Methods and Tools: The tools and methods in this thesis are based on
  • A set of scenario, describing the challenges
  • A list of requirements being extracted from the scenarios
  • A description and evaluation of technologies and tools being candidates for solutions
  • A functional architecture/description of the envisaged system
  • An implementation of the core concepts
  • A demonstration of the solution
  • An evaluation of the solution, including a critical review of the descisions taken earlier
  • Conclusions
  • References
Time schedule Time Schedule
T0 0 starting month, T0+m denotes the month where the contribution to a certain chapter shalle be finalized
T0+2 months: create an initial page describing the scenario
T0+3: Provide a list of technologies which you think are necessary for the thesis
T0+4: Establish the table of content (TOC) of the envisaged thesis. Each section shall contain 3-10 keywords describing the content of that section
T0+7: Provide a draft of section 2 (scenario) and 3 (technologies)
T0+10: Establish a draft on what to implement/architecture
T0+11: Set-up an implementation, testing and evaluation plan
T0+15: Evaluate your solution based on a set of parameters, keep in mind there is no such thing as a free lunch
T0+17: Deliver the thesis
Pre-Knowledge The user should have a reasonable understanding of networking issues, including routing. Knowledge of sensors is of advantage.
Approved by
Keywords EHealth, IoT, Internet of Things, routing, Network

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About NR

Norsk Regnesentral (NR) offers supervision for a master student within the ASSET (Adaptive Security for Smart Internet of Things in eHealth) project. The ASSET project is a cooperation project between NR, Høgskolen i Gjøvik (HiG), Oslo universitetssykehus (OUS) and international partners. The project is financed by the Norges forskningsråd and will run from January 2012 to July 2015. The candidate is required to register in either GUC’s Information Security master’s program or Department of Informatics, University of Oslo.

For further information, please consult the following web pages: The ASSET project:

Table of Content (TOC)

A typical example of a table of content (TOC) is provided in TOC