Next Article in Journal
Temporal Variability Corrections for Advanced Microwave Scanning Radiometer E (AMSR-E) Surface Soil Moisture: Case Study in Little River Region, Georgia, U.S.
Previous Article in Journal
Biomarkers of Contaminant Exposure in Chub (Leuciscus cephalus L.) – Biomonitoring of Major Rivers in the Czech Republic
Article Menu

Export Article

Open AccessArticle
Sensors 2008, 8(4), 2604-2616;

Energy-efficient Organization of Wireless Sensor Networks with Adaptive Forecasting

State Key Laboratory of Precision Measurement Technology and Instrument, Department of Precision Instruments, Tsinghua University, Beijing 100084, P. R. China
Author to whom correspondence should be addressed.
Received: 2 April 2008 / Accepted: 10 April 2008 / Published: 11 April 2008
Full-Text   |   PDF [705 KB, uploaded 21 June 2014]


Due to the wide potential applications of wireless sensor networks, this topic has attracted great attention. The strict energy constraints of sensor nodes result in great challenges for energy efficiency. This paper proposes an energy-efficient organization method. The organization of wireless sensor networks is formulated for target tracking. Target localization is achieved by collaborative sensing with multi-sensor fusion. The historical localization results are utilized for adaptive target trajectory forecasting. Combining autoregressive moving average (ARMA) model and radial basis function networks (RBFNs), robust target position forecasting is performed. Moreover, an energyefficient organization method is presented to enhance the energy efficiency of wireless sensor networks. The sensor nodes implement sensing tasks are awakened in a distributed manner. When the sensor nodes transfer their observations to achieve data fusion, the routing scheme is obtained by ant colony optimization. Thus, both the operation and communication energy consumption can be minimized. Experimental results verify that the combination of ARMA model and RBFN can estimate the target position efficiently and energy saving is achieved by the proposed organization method in wireless sensor networks. View Full-Text
Keywords: Wireless sensor networks; energy efficiency; target forecast; ant colony optimization Wireless sensor networks; energy efficiency; target forecast; ant colony optimization
This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

Share & Cite This Article

MDPI and ACS Style

Wang, X.; Wang, S.; Ma, J.-J.; Bi, D.-W. Energy-efficient Organization of Wireless Sensor Networks with Adaptive Forecasting. Sensors 2008, 8, 2604-2616.

Show more citation formats Show less citations formats

Related Articles

Article Metrics

Article Access Statistics



[Return to top]
Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top