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Komplexa inbyggda system i realtid

Cyber-Physical Systems Analysis

Tillförlitlig programvaruteknik

Energieffektivisering och minskning av utsläpp

Formell modellering och analys av inbäddade system

Heterogena system

Lärande och optimering

Modellbaserad konstruktion av inbäddade system

Statsvetenskap

Product and Production Development

Systemdesign i realtid

Säkerhetskritisk teknik

Simulation and optimisation for future industrial applications (SOFIA)

Sustainable lifestyle and health from a public health perspective

Ubiquitous Computing

Artificiell intelligens och intelligenta system

FlexiHealth: flexible softwarized networks for digital healthcare

FlexiHealth focuses on designing novel mobility management protocols for IoT networks through enhancing the IoT architecture, enriching by the Fog computing concept.

Start

2019-04-01

Planned completion

2021-04-01

Main financing

The Knowledge Foundation

Collaboration partners

Accellrate Mobile Infrastructure AB, Alten Sverige AB och OnDosis AB

Project manager at MDH

Senior Lecturer

Hossein Fotouhi

+4621107382

hossein.fotouhi@mdh.se

Conventional health monitoring applications were focusing on the use of static physiological sensors, whereas future health applications empowered by IoT devices will require mobility of nodes. Thus, it is more common to experience existence of both static and mobile nodes within the network. The efforts on standardizing Internet Protocols were neglecting mobility management protocols. Most standard mobility management protocols such as Mobile IPv6 and its variants have high signaling overhead owing to tunneling and binding operations and are considerably complex, incurring high processing overhead. Additionally, the current standard mobility management protocols are neglecting constrained networks with limitations in channel bandwidth, packet size, sleep mode and unreliable links.

FlexiHealth focuses on designing novel mobility management protocols for IoT networks through enhancing the IoT architecture, enriching by the Fog computing concept. We are envisioning a mobility management solution for constrained networks that encompasses (i) efficient hand-off algorithms for smooth transitions of mobile nodes through a cooperative decision making by the mobile node and the software defined networking controller, and (ii) efficient localization algorithms for mobile IoT networks by getting the advantage of SDN controller. This project will involve extensive simulations and real-world experiments for verification.