Phase 1 : WSN For Home Automation


Energy consumption in residential and commercial buildings has increased dramatically worldwide in the last decades, due to the constant population and economic growth, and the proliferation of a variety of electronic and consumer appliances. This has dramatic footprint on the environment in terms of carbon emission, in addition to the economic impact. Green, or sustainable, building refers to the practice of creating and using healthier and more resource-efficient models of construction, renovation, operation, maintenance and demolition of modern buildings. Green building strategies will maximize both economic and environmental performance. These strategies can be integrated into buildings at any stage, from design and construction, to renovation and deconstruction. However, the most significant benefits can be obtained if the design and construction team takes an integrated approach from the earliest stages of a building project. Rational management of energy consumption is the key element to achieve green building, which will play important role in the future smart grids. For instance, lighting control and adaptation to the daylight and to the users’ need can significantly reduce energy consumption.

Information and Communication Technologies (ICT) can play a role to control our behavior and incent us turning off lights (or even do it automatically) in the presence of sufficient daylight or in the empty premises (e.g., workers leaving offices), to control the degree of lighting as a function of the ambient light. It can also control air conditioning, as considerable energy is wasted heating/cooling empty premises due to common human behavior in keeping such devices turned on all the time. Wireless sensor networking is one of the emerging ICT that has a potential in this domain.

Project Aim

In the current project, we consider the energy consumption control aspect of green buildings and aim at proposing a general solution with wireless sensor networks to control power consumption in our offices at CERIST, as an available and suitable potential test-field.The outcome of this project can be very useful for future construction to achieve green building in our developing country if included in an integrated approach from the earliest stages of a building project. It can also be used to modernized existing buildings and empower them with a high tech power management asset.

The first prototype targets a single office control, where PIR sensors are to be used to monitor the presence and manage lighting, air conditioning and heating accordingly, where actuation sensors will control toggle switches of office lamp(s), air conditional. The number of such sensors and optimal placement is to be defined during the project using optimization methods. Machine learning will be explored to intelligently manage duty cycling of the system and some parameters of actuations. 

Research Team

Djamel Djenouri  (Project principale investigateur)

Abdelraouf  Oudjaout

Lasla   Nouredine

Zizoua   Cherif

Roufaida Laidi

Imane Benkhelifa