Design and Implementation of a Smart Living Space by Wireless Sensor Networks

• Main Authors: Yeh, Lun-Wu, 葉倫武
• Other Authors: Tseng, Yu-Chee
• Format: Others
• Language: zh-TW
• Published: 2010
• Online Access: http://ndltd.ncl.edu.tw/handle/50782665195209365201

博士 === 國立交通大學 === 資訊科學與工程研究所 === 99 === Recently, wireless sensor and actuator networks (WSANs) have been widely discussed in many applications. The smart living space is one of the most important application of WSANs. In this dissertation, we propose four works for a smart living space. The first work is an intelligent energy-conservation system which constructs a framework of the smart living space. Under this framework, we propose two static services and one mobile service in this environment. Two static services can control lighting devices and air conditioners automatically to achieve energy saving and satisfy users' requirements. One mobile service provides a location-based services platform in our environment. In the first work, we propose an iPower (intelligent and personalized energy-conservation system by wireless sensor networks) system which combines WSNs and appliance control devices to provide personalized energy conservation services. A WSN is deployed in each room to monitor the usage of electric appliances and to help determine if there are electric appliances that can be turned off for energy conservation. The iPower system is quite intelligent and can adapt to personal need by automatically adjusting electric appliances to satisfy users' requirements. In the second work, we propose an autonomous light control system based on the feedback from light sensors carried by users. Our design focuses on meeting users' preferences and energy efficiency. Both whole and local lighting devices are considered. Users' preferences may depend on their activities and profiles and two requirement models are considered: binary satisfaction and continuous satisfaction models. For controlling whole lighting devices, two decision algorithms are proposed. For controlling local lighting devices, a surface-tracking scheme is proposed. Our solutions are autonomous because, as opposed to existing solutions, they can dynamically adapt to environment changes and do not need to track users' current locations. Simulations and prototyping results are presented to verify the effectiveness of our designs. Similar to the previous work, we propose an intelligent air conditioners control system based on the feedback from temperature sensors in the environment. Our design focuses on meeting users' requirements and energy efficiency. We define two models as users' requirements: binary satisfaction and continuous satisfaction models. For these two models, we propose the temperature model and two control mechanisms to adjust the air conditioners quickly and satisfy all users' temperature requirements. In the last work, we consider building an indoor low-cost mobile robot that can be used in home applications. Due to the complicated nature of home environments, it is essential for such a robot to be self-guided in the sense that it is able to determine its current location as well as navigate to locations where it is commanded to. We propose a two-tier architecture to achieve this goal at centimeter-to-meter-level accuracy. The robot can even roam into an area which is new to it. We demonstrate a prototyping system based on an extended iRobot and the results have important implications on intelligent homes.