A user-enabled testbed architecture with mobile crowdsensing support for smart, green buildings

Authors: Angelopoulos, C.M., Evangelatos, O., Nikoletseas, S.E., Raptis, T.P., Rolim, J.D.P. and Veroutis, K.

http://dx.doi.org/10.1109/ICC.2015.7248383

Journal: 2015 IEEE International Conference on Communications, ICC 2015, London, United Kingdom, June 8-12, 2015

Pages: 573-578

DOI: 10.1109/ICC.2015.7248383

This data was imported from Scopus:

Authors: Angelopoulos, C.M., Evangelatos, O., Nikoletseas, S., Raptis, T.P., Rolim, J.D.P. and Veroutis, K.

Journal: IEEE International Conference on Communications

Volume: 2015-September

Pages: 573-578

ISBN: 9781467364324

ISSN: 1550-3607

DOI: 10.1109/ICC.2015.7248383

© 2015 IEEE. We present an IoT testbed architecture for Smart Buildings that enables the seamless and scalable integration of crowd-sourced resources such as smartphones and tablets. The purpose of this integration is dual. First, the embedded sensory capabilities of the resources provided by the crowd are combined with the sensing capabilities of the building for efficient smart actuations. Second, the system is able to interact with its users in a direct, personal way both for incentivising them to provide sensory data from their devices and to receive feed-back on their preferences and experienced comfort. The above are exposed to the experimenter as a set of services thus providing great agility on developing and evaluating a broad range of use case scenarios. We demonstrate this flexibility by deploying a testbed in the premises of a building and by evaluating several crowd incentive policies in the context of a smart luminance scenario. The scenario is based on Participatory Sensing principles to create live luminance maps, aggregate user preferences and accordingly adjust the luminance units.

This data was imported from Web of Science (Lite):

Authors: Angelopoulos, C.M., Evangelatos, O., Nikoletseas, S., Raptis, T.P., Rolim, J.D.P., Veroutis, K. and IEEE

Journal: 2015 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC)

Pages: 573-578

ISSN: 1550-3607

The data on this page was last updated at 05:13 on February 15, 2020.