DocumentCode
2891797
Title
FOTP: Face-Based Object Tracking Protocol in Wireless Sensor Network
Author
Ji, Xu ; Zhang, Yi-Ying ; Hussain, Sajjad ; Jin, Dong-Xu ; Lee, Eun-Mook ; Park, Myong-Soon
Author_Institution
Dept. of Comput. Sci. & Eng., Korea Univ., Seoul, South Korea
fYear
2009
fDate
24-26 Nov. 2009
Firstpage
128
Lastpage
133
Abstract
Object tracking is an important application in wireless sensor network (WSN). High-accuracy and energy-efficiency are key requirements. In this paper, we propose a novel face-based object tracking protocol (FOTP), which is used to track the object with low energy consumption and high quality. FOTP combines a hexagon algorithm with face-architecture system model, which can provide precise detection and efficient tracking. Firstly, soldier nodes observe the object and elect a near node (NN) which is the nearest node to the object. And then, the NN tracks the tracked object (TO) and predicts its next position by hexagon algorithm. Furthermore, candidate faces will be woken up by the NN and responsible for continuously tracking the coming TO. Being compared with previous works, FOTP tracks object with limited sensor participants. Simulations show our protocol can not only support efficient tracking but also conserver more energy.
Keywords
energy consumption; object detection; protocols; wireless sensor networks; FOTP; energy efficiency; face architecture system; face based object tracking protocol; hexagon algorithm; low energy consumption; soldier nodes; wireless sensor network; Computer networks; Energy consumption; Face detection; Information technology; Mobile communication; Monitoring; Neural networks; Object detection; Wireless application protocol; Wireless sensor networks; Face architecture; Hexagon algorithm; Object tracking; Wireless Sensor Network;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Sciences and Convergence Information Technology, 2009. ICCIT '09. Fourth International Conference on
Conference_Location
Seoul
Print_ISBN
978-1-4244-5244-6
Electronic_ISBN
978-0-7695-3896-9
Type
conf
DOI
10.1109/ICCIT.2009.246
Filename
5367962
Link To Document