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Performance analysis of the quality of serviceaware networking scheme for smart internet of things gateways
Simiscuka, Anderson Augusto ; Bezbradica, Marija; Muntean, Gabriel-Miro
The extremely large number of devices available to the modern day user, with the increase in device intercommunication, is fuelling the latest Internet of Things (IoT) development. IoT needs to enable exchange of various types of data, from sensor data to multimedia, between numerous diverse devices differing in power, connectivity, mobility and energy, while also maintaining high levels of Quality of Service (QoS). This paper performs statistical analysis of the innovative NETworking Scheme for sMart IoT gatewayS (NETSMITS) in terms of several QoS network-related metrics with most significant impact on devices’ performance. NETSMITS introduces an innovative algorithm which uses QoS and service relevance metrics in order to efficiently cluster intercommunicating IoT objects. Statistical analysis is performed on the QoS data collected in a highly relevant multi-device scenario in order to understand NETSMITS’ behaviour. Interesting results were obtained, describing the relationship between the QoS metrics and different types of IoT devices.
Keyword(s): Quality of service; Logic gates; Performance evaluation; Packet loss; Throughput; Internet of Things (IoT); internetworking; quality of service; statistics; QoS;
Publication Date:
Type: Other
Peer-Reviewed: Unknown
Language(s): English
Institution: Dublin City University
Citation(s): Simiscuka, Anderson Augusto , Bezbradica, Marija and Muntean, Gabriel-Miro ORCID: 0000-0002-9332-4770 <> (2017) Performance analysis of the quality of serviceaware networking scheme for smart internet of things gateways. In: 13th International Wireless Communications and Mobile Computing Conference (IWCMC), 26-30 June 2017, Valencia, Spain. ISBN 978-1-5090-4372-9
Publisher(s): IEEE Computer Society
File Format(s): application/pdf
Related Link(s):
First Indexed: 2017-10-10 06:22:30 Last Updated: 2019-02-09 06:10:57