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Item UDEPLOY: User-Driven Learning for Occupancy Sensors DEPLOYment In Smart Buildings(IEEE, 2018-03) Laidi, Roufaida; Djenouri, DjamelA solution for motion sensors deployment in smart buildings is proposed. It differentiates the monitored zones according to their occupancy, where highly-occupied zones have higher coverage requirements over low-occupied zones, and thus are assigned higher granularity in the targeted coverage (weights). The proposed solution is the first that defines a user-driven approach, which uses sampling of occupants’ behavior to determine the zones and the coverage weights. The samples are acquired during a short learning phase and then used to derive a graph model. The latter is plugged into a greedy, yet effective, algorithm that seeks optimal placement for maximizing detection accuracy while reducing the cost (number of sensors). Practical aspects such as the scalability and the applicability of the solution are considered. A simulation study that compares the proposed solution with two state-of-the-art solutions shows the superiority of the proposed approach in the accuracy of detection (increased coverage), and scalability (reduced runtime).Item Electrical Energy Consumption Control in Buildings Using Wireless Sensor(CERIST, 2018-01-25) Djenouri, Djamel; Laidi, Roufaida; Zizoua, CherifEnergy consumption in residential and commercial buildings has increased dramatically worldwide in the last decade, due to the constant population and economic growth, the proliferation of electronic and consumer appliances. This has dramatic footprint on the environment in terms of carbon emission, in addition to the economic impact. Green and smart building strategies will play a pivotal role to reduce this footprint and maximize economic and environmental performance. These strategies can be integrated into buildings at any stage, from design and construction, to maintenance and renovation. The use of modern Information and Communication Technologies (ICT), notably IoT solutions, for building control is one of the promising strategies for the future. The aim of this project was to explore this domain, and as a first step to develop a wireless sensor networks based solution for monitoring and energy management in offices. A prototype has been targeted as a proof of concept where sensors monitor physical parameters in CERSIT offices (presence of people, ambient light, etc.), and accordingly actuate lighting, air conditioning, etc. This report is a short summery of the different parts developed in this project.