@conference{Božić2014,
title = {Multilayer approach to cost-efficient home automation},
author = {Milivoj Božić and Giora Golan and Bojan Mrazovac and Ištvan Papp and Milan Z. Bjelica},
doi = {10.1109/ICCE-China.2014.7029863},
isbn = {978-1-4799-4756-0},
year = {2014},
date = {2014-04-09},
booktitle = {Consumer Electronics - China, 2014 IEEE International Conference on},
publisher = {IEEE},
address = {Shenzhen, China},
abstract = {This paper describes an approach to a full vertical smart building solution. The concept relies on identification of distinct layers, selection of optimal technologies for each, and their seamless integration into a unified service. The solution uses low-cost, energy efficient Zigbee for the most massive device layer, embedded solution for the layer local intelligence resides in, and enterprise technologies for the cloud. The experiments and measurements show that the selected technologies ensure adequate feature distribution and responsiveness across all layers. User test proves the interactivity is maintained across the full vertical.},
howpublished = {M33},
keywords = {ieeexplore, smart homes, software framework, zigbee},
pubstate = {published},
tppubtype = {conference}
}
This paper describes an approach to a full vertical smart building solution. The concept relies on identification of distinct layers, selection of optimal technologies for each, and their seamless integration into a unified service. The solution uses low-cost, energy efficient Zigbee for the most massive device layer, embedded solution for the layer local intelligence resides in, and enterprise technologies for the cloud. The experiments and measurements show that the selected technologies ensure adequate feature distribution and responsiveness across all layers. User test proves the interactivity is maintained across the full vertical.
@article{tcem1,
title = {A Human Detection Method for Residential Smart Energy Systems Based on Zigbee RSSI Changes},
author = {Bojan Mrazovac and Milan Z. Bjelica and Dragan Kukolj and Branislav Todorović and Dragan Samardžija},
doi = {10.1109/TCE.2012.6311323},
issn = {0098-3063},
year = {2012},
date = {2012-09-27},
journal = {IEEE Transactions on Consumer Electronics},
volume = {58},
number = {3},
pages = {819-824},
abstract = {In this article, the device-free human presence detection method based on radio signal strength variations is proposed. The method exploits the known fact that human body interferes with radio signals by causing fading and shadowing effects. Introduced irregularities in the radio propagation pattern indicate possible presence of a human. The proposed method is incorporated into the existing platform for intelligent residential energy management. As opposed to conventional solutions which utilize a complex set of sensors for human detection, the proposed approach achieves the same only by analyzing and quantifying radio signal strength variations incorporated in messages exchanged between 2.4 GHz radio transceivers. One of the key benefits of the proposed solution is the integration of the detection algorithm into the smart power outlets and smart light switches. Such an approach improves interactions in smart home systems, enables intelligent power consumption management and low installation cost.},
howpublished = {M22},
keywords = {human detection, ieeexplore, RSSI, smart homes, user monitoring, zigbee},
pubstate = {published},
tppubtype = {article}
}
In this article, the device-free human presence detection method based on radio signal strength variations is proposed. The method exploits the known fact that human body interferes with radio signals by causing fading and shadowing effects. Introduced irregularities in the radio propagation pattern indicate possible presence of a human. The proposed method is incorporated into the existing platform for intelligent residential energy management. As opposed to conventional solutions which utilize a complex set of sensors for human detection, the proposed approach achieves the same only by analyzing and quantifying radio signal strength variations incorporated in messages exchanged between 2.4 GHz radio transceivers. One of the key benefits of the proposed solution is the integration of the detection algorithm into the smart power outlets and smart light switches. Such an approach improves interactions in smart home systems, enables intelligent power consumption management and low installation cost.