Eficiência energética de redes de sensores sem fio aplicada ao conforto térmico em ambientes fechados

Abstract

Wireless Sensor Networks can be used in several applications such as monitoring and study of thermal comfort in indoor environment. However, since the sensors nodes are battery powered, the cost of network maintenance can quickly exceed the cost of whole monitoring system. In this work, it is proposed and evaluated a routing protocol considering the monitored variables in sensors nodes to form groups of sensors in order to reduce the intra cluster communication. Our solution uses not only localization but also temperature and relative humidity collected by each sensor node to elect cluster heads (CHs). The k-means algorithm was used to group the correlated sensors nodes. Results show that the proposed scheme has a performance 50% higher than the state-of-the-art algorithms in relation to residual energy and network lifetime. Therefore there is a substantial gain when we exploit the correlation structure of the collected data to form groups and to elect CHs.