DocumentCode :
1846622
Title :
An energy efficient target tracking scheme for distributed Wireless Sensor Networks
Author :
Rad, Hadi Jamali ; Abolhassani, Bahman ; Abdizadeh, Mohammad
Author_Institution :
Sch. of Electr. Eng., Iran Univ. of Sci. & Technol. (IUST), Tehran, Iran
fYear :
2009
fDate :
7-10 Sept. 2009
Firstpage :
136
Lastpage :
140
Abstract :
We study the problem of power optimization for object tracking using distributed wireless sensor networks (WSNs). The accuracy of the object tracking is dependent on the tracking time interval. Smaller tracking time interval increases the accuracy of tracking a moving object. However, this increases the power consumption significantly. This paper proposes a modified adaptive sleep time management scheme called modified predict and mesh (MPaM) to adapt tracking time interval such that it minimizes power consumption while keeping an acceptable tracking accuracy. Also a quantitative analysis to compare the performances of the conventional PaM and proposed Modified PaM (MPaM) schemes is developed. Simulation results show that using the proposed modified scheme, the tracking network has a very good performance with the added advantage of reducing the power consumption significantly (up to 22% and up to 9%) when compared with two existing adaptive methods (PaM and AEC, respectively). Moreover, the calculated quantitative results and the simulation results coincide very well.
Keywords :
target tracking; wireless sensor networks; WSN; distributed wireless sensor networks; energy efficient target tracking scheme; modified adaptive sleep time management scheme; modified predict and mesh scheme; object tracking; power optimization; tracking time interval; Computer simulation; Energy consumption; Energy efficiency; Energy management; Mathematical analysis; Performance analysis; Predictive models; Sleep; Target tracking; Wireless sensor networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wireless Communication Systems, 2009. ISWCS 2009. 6th International Symposium on
Conference_Location :
Tuscany
Print_ISBN :
978-1-4244-3584-5
Electronic_ISBN :
978-1-4244-3584-5
Type :
conf
DOI :
10.1109/ISWCS.2009.5285219
Filename :
5285219
Link To Document :
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