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Improving Service Management in the Internet of Things

A.R.T.S. Laboratory, Department DIMET, University of Reggio Calabria, Loc. Feo di Vito, 89100 Reggio Calabria, Italy
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Sensors 2012, 12(9), 11888-11909; https://doi.org/10.3390/s120911888
Received: 18 June 2012 / Revised: 22 August 2012 / Accepted: 24 August 2012 / Published: 29 August 2012
(This article belongs to the Section Sensor Networks)
In the Internet of Things (IoT) research arena, many efforts are devoted to adapt the existing IP standards to emerging IoT nodes. This is the direction followed by three Internet Engineering Task Force (IETF) Working Groups, which paved the way for research on IP-based constrained networks. Through a simplification of the whole TCP/IP stack, resource constrained nodes become direct interlocutors of application level entities in every point of the network. In this paper we analyze some side effects of this solution, when in the presence of large amounts of data to transmit. In particular, we conduct a performance analysis of the Constrained Application Protocol (CoAP), a widely accepted web transfer protocol for the Internet of Things, and propose a service management enhancement that improves the exploitation of the network and node resources. This is specifically thought for constrained nodes in the abovementioned conditions and proves to be able to significantly improve the node energetic performance when in the presence of large resource representations (hence, large data transmissions). View Full-Text
Keywords: Internet of Things; resource constrained sensors; 6LoWPAN Internet of Things; resource constrained sensors; 6LoWPAN
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MDPI and ACS Style

Sammarco, C.; Iera, A. Improving Service Management in the Internet of Things. Sensors 2012, 12, 11888-11909. https://doi.org/10.3390/s120911888

AMA Style

Sammarco C, Iera A. Improving Service Management in the Internet of Things. Sensors. 2012; 12(9):11888-11909. https://doi.org/10.3390/s120911888

Chicago/Turabian Style

Sammarco, Chiara; Iera, Antonio. 2012. "Improving Service Management in the Internet of Things" Sensors 12, no. 9: 11888-11909. https://doi.org/10.3390/s120911888

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