Next Article in Journal
Multi-scale Analysis of MEMS Sensors Subject to Drop Impacts
Next Article in Special Issue
Wireless Sensor/Actuator Network Design for Mobile Control Applications
Previous Article in Journal / Special Issue
Time Series Forecasting Energy-efficient Organization of Wireless Sensor Networks
Article

Energy-efficient Optimization of Reorganization-Enabled Wireless Sensor Networks

State Key Laboratory of Precision Measurement Technology and Instruments, Tsinghua University, Beijing 100084, P. R. China
*
Author to whom correspondence should be addressed.
Sensors 2007, 7(9), 1793-1816; https://doi.org/10.3390/s7091793
Received: 9 August 2007 / Accepted: 4 September 2007 / Published: 5 September 2007
This paper studies the target tracking problem in wireless sensor networkswhere sensor nodes are deployed randomly. To achieve tracking accuracy constrained byenergy consumption, an energy-efficient optimization approach that enablesreorganization of wireless sensor networks is proposed. The approach includes threephases which are related to prediction, localization and recovery, respectively. A particlefilter algorithm is implemented on the sink node to forecast the future movement of thetarget in the first prediction phase. Upon the completion of this phase, the most energyefficient sensor nodes are awakened to collaboratively locate the target. Energy efficiencyis evaluated by the ratio of mutual information to energy consumption. The recoveryphase is needed to improve the robustness of the approach. It is performed when thetarget is missed because of the incorrect predicted target location. In order to recapture thetarget by awakening additional sensor nodes as few as possible, a genetic-algorithm-basedmechanism is introduced to cover the recovery area. We show that the proposed approachhas excellent tracking performance. Moreover, it can efficiently reduce energyconsumption, prolong network lifetime and reduce network overheads. View Full-Text
Keywords: Wireless sensor networks; energy-efficient; optimization; reorganization-enabled Wireless sensor networks; energy-efficient; optimization; reorganization-enabled
Show Figures

MDPI and ACS Style

Wang, X.; Ding, L.; Bi, D.-W.; Wang, S. Energy-efficient Optimization of Reorganization-Enabled Wireless Sensor Networks. Sensors 2007, 7, 1793-1816. https://doi.org/10.3390/s7091793

AMA Style

Wang X, Ding L, Bi D-W, Wang S. Energy-efficient Optimization of Reorganization-Enabled Wireless Sensor Networks. Sensors. 2007; 7(9):1793-1816. https://doi.org/10.3390/s7091793

Chicago/Turabian Style

Wang, Xue, Liang Ding, Dao-Wei Bi, and Sheng Wang. 2007. "Energy-efficient Optimization of Reorganization-Enabled Wireless Sensor Networks" Sensors 7, no. 9: 1793-1816. https://doi.org/10.3390/s7091793

Find Other Styles

Article Access Map by Country/Region

1
Only visits after 24 November 2015 are recorded.
Back to TopTop