2016
DOI: 10.1007/s12243-016-0501-3
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A network-assisted flow mobility architecture for optimized mobile medical multimedia transmission

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Cited by 4 publications
(2 citation statements)
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“…In contrast, the present-day IoT systems are much larger and spanning across countries or continents, making them to comply with the varying rules and regulations. Similarly, in health care [150] type of applications, which invade personal spaces, privacy is becoming a significant concern [10], [12]. Governing organizations like European Commission have recognized that privacy in the processing of personal data and the confidentiality of communications as fundamental rights that should be protected [151].…”
Section: F Privacy 1) Issues and Challengesmentioning
confidence: 99%
“…In contrast, the present-day IoT systems are much larger and spanning across countries or continents, making them to comply with the varying rules and regulations. Similarly, in health care [150] type of applications, which invade personal spaces, privacy is becoming a significant concern [10], [12]. Governing organizations like European Commission have recognized that privacy in the processing of personal data and the confidentiality of communications as fundamental rights that should be protected [151].…”
Section: F Privacy 1) Issues and Challengesmentioning
confidence: 99%
“…Our first goal was to propose an in-vehicle healthcare use-case, draft a possible extension of GeoNet (GN) forwarding algorithms and to present comprehensive evaluation of mobile medical multimedia transmission between vehicles over ITS GN GeoBroadcast protocol. Results clearly show that medical multimedia could be transmitted even over 802.11p using GN protocol [69,70], however, subjective QoE measurements evaluated by medical personnel would also be useful for more precise assessment of medical media quality, and enhanced security/privacy measures must be applied also in the mobility management level of the V2X domain by techniques like [71].…”
Section: V2x Communication Solutions For Connected and Autonomous Vehmentioning
confidence: 99%