DocumentCode :
157040
Title :
The adaptive node-selection mechanism scheme in solar-powered wireless sensor networks
Author :
Gwo-Jiun Horng ; Tun-Yu Chang
Author_Institution :
Dept. of Inf. Manage., Fortune Inst. of Technol., Kaohsiung, Taiwan
fYear :
2014
fDate :
23-25 April 2014
Firstpage :
1
Lastpage :
4
Abstract :
This study also proposes a solar power-based adaptive node-selection protocol mechanism for a wireless sensor network to increase the monitor performance of wireless sensors. Using renewable energy, such as solar power, to improve the efficiency of sensors in wireless sensor networks has become a popular topic. Equipping the sensors with solar-powered equipment signifies that the sensors no longer have the limited battery life problem. This design can collect solar power to charge the sensor´s battery. To solve node-selection problem, an adaptive node-selection mechanism (ANSM) scheme is proposed. The algorithm builds the energy-aware Steiner tree between sensors and sink. This scheme selects the least active node to reduce the overlapping of the sensor coverage but ensure constant coverage of the target area in solar-powered wireless sensor networks. This approach also considers the solar power consuming rate and humidity to solve the solar power problem in various environments.
Keywords :
solar power; telecommunication power supplies; wireless sensor networks; adaptive node-selection mechanism scheme; energy-aware Steiner; humidity; node-selection problem; renewable energy; sinks; solar power consuming rate; solar power-based adaptive node-selection protocol mechanism; solar-powered equipment; solar-powered wireless sensor networks; Batteries; Humidity; Monitoring; Sensor systems; Solar energy; Wireless sensor networks; Node-selection algorithm; Scheduling; Sensor Deployment; Solar-powered WSN; Stream Environment;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Green Building and Smart Grid (IGBSG), 2014 International Conference on
Conference_Location :
Taipei
Type :
conf
DOI :
10.1109/IGBSG.2014.6835268
Filename :
6835268
Link To Document :
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