FOTP: Face-Based Object Tracking Protocol in Wireless Sensor Network

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.

[1]  Ivan Stojmenovic,et al.  Routing with Guaranteed Delivery in Ad Hoc Wireless Networks , 2001, Wirel. Networks.

[2]  Godfried T. Toussaint,et al.  Relative neighborhood graphs and their relatives , 1992, Proc. IEEE.

[3]  Feng Zhao,et al.  Information-driven dynamic sensor collaboration , 2002, IEEE Signal Process. Mag..

[4]  Chenyang Lu,et al.  FAR: Face-aware routing for mobicast in large-scale sensor networks , 2005, TOSN.

[5]  W. Relative Neighborhood Graphs and Their Relatives , 2004 .

[6]  Feng Zhao,et al.  Information-Driven Dynamic Sensor Collaboration for Tracking Applications , 2002 .

[7]  Myong-Soon Park,et al.  Dynamic Clustering for Object Tracking in Wireless Sensor Networks , 2006, UCS.

[8]  F. Frances Yao,et al.  Computational Geometry , 1991, Handbook of Theoretical Computer Science, Volume A: Algorithms and Complexity.

[9]  Tzung-Shi Chen,et al.  Mobile object tracking in wireless sensor networks , 2007, Comput. Commun..

[10]  Jianliang Xu,et al.  A New Storage Scheme for Approximate Location Queries in Object-Tracking Sensor Networks , 2008, IEEE Transactions on Parallel and Distributed Systems.

[11]  Chenyang Lu,et al.  Reliable mobicast via face-aware routing , 2004, IEEE INFOCOM 2004.

[12]  Lui Sha,et al.  Dynamic clustering for acoustic target tracking in wireless sensor networks , 2003, IEEE Transactions on Mobile Computing.

[13]  Samir R. Das,et al.  Tracking moving targets in a smart sensor network , 2003, 2003 IEEE 58th Vehicular Technology Conference. VTC 2003-Fall (IEEE Cat. No.03CH37484).

[14]  Brad Karp,et al.  GPSR : Greedy Perimeter Stateless Routing for Wireless , 2000, MobiCom 2000.

[15]  Lui Sha,et al.  Dynamic Clustering for Acoustic Target Tracking in Wireless Sensor Networks , 2004, IEEE Trans. Mob. Comput..

[16]  Wang-Chien Lee,et al.  Prediction-based strategies for energy saving in object tracking sensor networks , 2004, IEEE International Conference on Mobile Data Management, 2004. Proceedings. 2004.