Title :
Integrative management and energy-saving strategy in WSN
Author :
Xiaoliu Zhong ; Yunbao Tan ; Quanlong Ding ; Liu Zhang
Abstract :
Wireless sensor networks(WSNs) have gained worldwide attention in recent years. These sensor nodes can sense, measure, and gather information from the environment,and based on some local decision process, they can transmit the sensed data to the user. A wireless sensor network has important applications such as remote environmental monitoring and target tracking. In order to improve the comfortableness and energy-saving performance of indoor, in this paper, a wireless sensor network energy-efficiency and management platform is designed and implemented, it combines WSN with energy-saving management, and takes advantage of the data visualization system to help managing the large data produced by network. The system creates energy consumption models and environmental models in different application scenarios by various parameters in environment acquired from sensors, thus it can give the predicted value and strategy of energy conservation. Our system is shown to exhibit excellent performance.
Keywords :
decision trees; target tracking; telecommunication network management; telecommunication power management; wireless sensor networks; WSN; data visualization system; energy conservation; energy consumption models; energy efficiency; energy saving management; environmental models; integrative management; local decision process; remote environmental monitoring; sensor nodes c; target tracking; wireless sensor networks; Data models; Decision trees; Energy consumption; Lighting; Network topology; Temperature sensors; Wireless sensor networks; Integrative management; decision Tree Learning; energy-efficiency; energy-saving model; wireless sensor network;
Conference_Titel :
Computer Applications and Information Systems (WCCAIS), 2014 World Congress on
Conference_Location :
Hammamet
Print_ISBN :
978-1-4799-3350-1
DOI :
10.1109/WCCAIS.2014.6916580