Title :
A novel selective node based aggregation procedure for wireless sensor networks
Author :
Bai, Fan ; Jamalipour, Abbas
Author_Institution :
Univ. of Sydney, Sydney, NSW, Australia
Abstract :
Traditional data aggregation methods use data originating from all sensor nodes of the wireless sensor network (WSN). Unfortunately, the use of all available sensors is not a resource efficient approach for such environments. Therefore, in this paper, we propose a novel aggregation procedure based on a hypothesis testing, where a subset of reporting nodes is intermittently selected. Neyman-Pearson lemma is used to select reporting nodes and the critical value, which is used in this aggregation procedure. Furthermore, a performance evaluation is discussed to illustrate how the proposed aggregation procedure outperforms the existing detection methods, and the dependency of the aggregation procedure and network attributes.
Keywords :
wireless sensor networks; Neyman-Pearson lemma; data aggregation methods; data originating; hypothesis testing; selective node-based aggregation procedure; wireless sensor networks; Australia Council; Event detection; Floods; Large-scale systems; Resource management; Sampling methods; Sensor phenomena and characterization; Sensor systems; Testing; Wireless sensor networks;
Conference_Titel :
Personal, Indoor and Mobile Radio Communications, 2009 IEEE 20th International Symposium on
Conference_Location :
Tokyo
Print_ISBN :
978-1-4244-5122-7
Electronic_ISBN :
978-1-4244-5123-4
DOI :
10.1109/PIMRC.2009.5450291