Title :
A Data Collection Algorithm Using Energy Maps in Sensor Networks
Author :
El Rhazi, A. ; Pierre, Samuel
Author_Institution :
Ecole Polytech. de Montreal, Montreal
Abstract :
The main challenge when deploying sensor networks pertains to optimizing the energy consumption for data collection from sensor nodes. This paper proposes a new data collection mechanism based on a distributed clustering method. It uses sensor network energy maps and applies QoS requirements in order to reduce energy consumption. Simulation results show that this new data collection algorithm consumes less energy than the TAG algorithm.
Keywords :
quality of service; wireless sensor networks; data collection; distributed clustering; energy consumption; quality of service; sensor network energy maps; tiny aggregation; Clustering algorithms; Clustering methods; Computer networks; Energy consumption; Filtering; Mobile computing; Quality of service; Sensor phenomena and characterization; Temperature sensors; Wireless sensor networks;
Conference_Titel :
Wireless and Mobile Computing, Networking and Communications, 2007. WiMOB 2007. Third IEEE International Conference on
Conference_Location :
White Plains, NY
Print_ISBN :
978-0-7695-2889-2
DOI :
10.1109/WIMOB.2007.4390858