Research Article
An Information-Centric Platform for Social- and Location-Aware IoT Applications in Smart Cities
@ARTICLE{10.4108/eai.31-8-2017.153049, author={M. Govoni and J. Michaelis and A. Morelli and N. Suri and M. Tortonesi}, title={An Information-Centric Platform for Social- and Location-Aware IoT Applications in Smart Cities}, journal={EAI Endorsed Transactions on Internet of Things}, volume={3}, number={9}, publisher={EAI}, journal_a={IOT}, year={2017}, month={1}, keywords={Internet-of-Things (IoT), Smart Cities, social- and location-aware IT services, programming model}, doi={10.4108/eai.31-8-2017.153049} }
- M. Govoni
J. Michaelis
A. Morelli
N. Suri
M. Tortonesi
Year: 2017
An Information-Centric Platform for Social- and Location-Aware IoT Applications in Smart Cities
IOT
EAI
DOI: 10.4108/eai.31-8-2017.153049
Abstract
Recent advances in Smart City infrastructures and the Internet of Things represent a significant opportunity to improve people’s quality of life. Corresponding research often focuses on Cloud-centric network architectures where sensor devices transfer collected data to the Cloud for processing. However, the formidable traffic generated by countless IoT devices and the need for low-latency services raise the need to move away from centralized architectures and bring the computation closer to the data sources. To this end, this paper discusses SPF, a middleware solution that supports IoT application development, deployment, and management. SPF runs IoT services on capable devices located at the network edge and proposes an information-centric programming model that takes advantage of decentralized computation resources located in the proximity of application users and data sources. SPF also adopts Value-of-Information based methods to prioritize the transmission of essential information.
Copyright © 2017 M. Govoni et al., licensed to EAI. This is an open access article distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/3.0/), which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.