DocumentCode :
142526
Title :
Energy efficient distributed kalman filter for wireless sensor networks
Author :
Chenyu Wang ; Xuemin Chen ; Wei Li
Author_Institution :
Dept. of Comput. Sci., Texas Southern Univ., Houston, TX, USA
fYear :
2014
fDate :
7-9 April 2014
Firstpage :
161
Lastpage :
166
Abstract :
Wireless sensor networks (WSNs) have played an important role in collaborative information processing. One of the most fundamental collaborative information processing tasks in WSNs is the distributed estimation for tracking problem. A distributed Kalman filter (DKF) paired with a consensus filter was proposed by Olfati-Saber to address this problem. However, the adjacent nodes need to communicate continuously with each other in the DKF with consensus filter. It was pointed out that transmitting one bit may consume as much power as executing a few thousand instructions. To save the energy of the wireless sensor node, we proposed a DKF with an average algorithm which reduces the sensor computation load and significantly reduces the data exchange between the adjacent nodes compared to the DKF with a consensus filter. A new data exchange protocol is proposed to select the data to exchange between the adjacent nodes. The simulation results show that the proposed DKF with an average consensus filter and DKF with a consensus filter have similar tracking estimation accuracy, whereas the new DKF significantly reduces the level of data transmission.
Keywords :
Kalman filters; electronic data interchange; estimation theory; protocols; target tracking; wireless sensor networks; DKF; Olfati-Saber; WSN; average consensus filter; data exchange protocol; data transmission; distributed estimation; energy efficient distributed Kalman filter; information processing; sensor computation load; tracking estimation accuracy; tracking problem; wireless sensor network; Computational modeling; Estimation; Filtering; Filtering algorithms; Robustness; Sensors; Silicon; distributed Kalman filter; distributed estimation; wireless sensor networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Networking, Sensing and Control (ICNSC), 2014 IEEE 11th International Conference on
Conference_Location :
Miami, FL
Type :
conf
DOI :
10.1109/ICNSC.2014.6819618
Filename :
6819618
Link To Document :
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