Sensor fusion and estimation strategies for data traffic reduction in rooted wireless sensor networks

2008 ◽  
Author(s):  
A. Agnoli ◽  
A. Chiuso ◽  
P. D'Errico ◽  
A. Pegoraro ◽  
L. Schenato
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Sensor Fusion ◽  
Wireless Sensor ◽  
Data Traffic ◽  
Traffic Reduction

Research on Data Aggregation Algorithms Based on OPT in Wireless Sensor Networks

2013 ◽  
Vol 427-429 ◽  
pp. 1991-1994
Author(s):  
Xue Wen He ◽  
Le Ping Zheng ◽  
Kuan Gang Fan ◽  
Sun Han ◽  
Qing Mei Cao
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Data Aggregation ◽  
Measurement Accuracy ◽  
Wireless Sensor ◽  
Data Traffic ◽  
Fusion Model ◽  
Design Goal ◽  
Improve Measurement ◽  
Battery Energy

Since wireless sensor networks consist of sensors with limited battery energy, a major design goal is to maximize the lifetime of sensor network. To improve measurement accuracy and prolong network lifetime, reducing data traffic is needed. In the clustering-based wireless sensor networks, a novel data aggregation algorithm based on OPT and Layida Method is proposed. In the proposed method, Layida Method preprocesses data and data fusion model for data integration are used. Its availability is proved by comparing with the results of two existing algorithms.

A Spatial Correlation Based Data Aggregation Algorithm for Wireless Sensor Networks

2013 ◽  
Vol 655-657 ◽  
pp. 655-659 ◽  
Author(s):  
Lei Chun Wang ◽  
Guo Yu Zhou
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Spatial Correlation ◽  
Data Aggregation ◽  
Wireless Sensor ◽  
Data Detection ◽  
Data Traffic ◽  
Quality Of Data ◽  
Energy Consumption Rate

Data aggregation is the important method to reduce data traffic and lower energy expenditure in wireless sensor networks (WSN). This paper analyzes the characteristics of data sampled by nodes, and gives the method to decide spatial correlation between neighboring nodes and the criteria to classify and decide data in WSN. On the basis of this, this paper proposes a spatial correlation based data aggregation algorithm for WSN, SCBD. SCBD classifies and decides data according to data criteria and spatial correlation among nodes in normal nodes and cluster heads at the same time, and then aggregates different types of data. The results show that SCBD outperforms RAA in terms of energy consumption, rate of data detection and quality of data aggregation.

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