Energy-Efficient Constant Gain Kalman Filter Based Tracking in Wireless Sensor Network
Joint Authors
Source
Wireless Communications and Mobile Computing
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-04-06
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Information Technology and Computer Science
Abstract EN
Target tracking is one of the most widely used applications of wireless sensor network (WSN).
Efficient usage of energy is a key issue in WSN application such as target tracking.
Another important criterion is a tracking accuracy that can be achieved by using appropriate tracking mechanism.
Because of the special characteristic of WSN, there is a trade-off between tracking accuracy and power consumption.
Our aim is to improve tracking accuracy as well as provide energy-efficient solution by integrating the concept of clustering and prediction techniques.
This paper presents Energy-Efficient Constant Gain Kalman Filter based Tracking (EECGKFT) algorithm to optimize the energy usage and to increase the tracking accuracy.
There is also a need to collect data from network having a mobile Base Station (BS).
Hence, performance of proposed algorithm is analyzed for a static BS and also for mobile BS.
The results depict that proposed algorithm performs better compared to the existing algorithms in energy efficiency and prediction accuracy.
Analysis of results validates that EECGKFT increases energy efficiency by reducing transmission of unnecessary data in the sensor network environment and also provides good tracking results.
American Psychological Association (APA)
Hirpara, Kirti& Rana, Keyur. 2017. Energy-Efficient Constant Gain Kalman Filter Based Tracking in Wireless Sensor Network. Wireless Communications and Mobile Computing،Vol. 2017, no. 2017, pp.1-7.
https://search.emarefa.net/detail/BIM-1205609
Modern Language Association (MLA)
Hirpara, Kirti& Rana, Keyur. Energy-Efficient Constant Gain Kalman Filter Based Tracking in Wireless Sensor Network. Wireless Communications and Mobile Computing No. 2017 (2017), pp.1-7.
https://search.emarefa.net/detail/BIM-1205609
American Medical Association (AMA)
Hirpara, Kirti& Rana, Keyur. Energy-Efficient Constant Gain Kalman Filter Based Tracking in Wireless Sensor Network. Wireless Communications and Mobile Computing. 2017. Vol. 2017, no. 2017, pp.1-7.
https://search.emarefa.net/detail/BIM-1205609
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1205609