This dissertation investigates and Ambient Intelligence system and proposes algo-rithms and techniques that can be implemented in a smart building environment. Im-plementing AmI environments, in regards to the connection infrastructure, essentially involves dealing with wireless networks Wireless Sensor Networks (WSN) or Wireless Sensor and Actuator Networks (WSAN). In addition the concept of Service Oriented Architecture (SOA) which is directly related to ambient systems is implemented using web services. Such a system is built for the purpose of a research project, namely Smart IHU. It involves the deployment of heterogeneous WSNs at the International Hellenic University, and the development of various web an Artificial Intelligence ap-plications. A SOA compliant web service middleware, named aWESoME, unifies access to heterogeneous WSN systems, and exposes all their functions through web services (WS). In this work a Linux embedded computer was investigated, configured and adapted in order to replace existing gateways, which are simple PCs and consume far more energy. Experiments were conducted in different scenarios that measured the power dissipation and response time. Furthermore additional technologies and me-thods were investigated and used for the development of web services that control (e.g. shutdown, reboot, wake on LAN) and monitor parameters (e.g. CPU utilization) in distributed computers. These services utterly extend and enrich the functionality of the system’s middleware, aWESoME.
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