Please use this identifier to cite or link to this item:
A Power Efficient Object Tracking Method by Using Wireless Sensor Network
|關鍵字:||無線感測網路;wireless sensor network;物件追蹤;定位;節能;object tracking;position;energy-efficient||出版社:||資訊科學與工程學系所||引用:||顏啟森,溫志宏,“無線感測網路之感測節點定位系統實作”,全國碩博士論文,七月,2005. R. P. Mihail and L. Sichitiu, "Angle of Arrival Localization for Wireless Sensor Networks," Proc. of the Third Annual IEEE Communications Society Conference on Sensor and Ad Hoc Communications and Networks, (Reston, VA), Sep. 2006. N. Patwari, J. N. Ash, S. Kyperountas, A. O. Hero, R. L. Moses, and N. S. Correal, “Locating the Nodes: Cooperative Localization in Wireless Sensor Networks,” IEEE Signal Processing Magazine, Vol. 22, No. 4, pp. 54-69, Jul. 2005. M. Lihan, H. Sawano, T. Tsuchiya, and K. Koyanagi, “Comparison of Orientation-Aware RSS-based Localization Algorithms,” Proc. of 5th International Conference on Mobile Technology, Applications, and Systems, No. 100, Yilan, Taiwan, Sep. 2008. N. Bulusu, J. Heidemann, and D. Estrin, “GPS-less Low Cost Outdoor Localization for Very Small Devices,” IEEE Personal Communications Magazine, Vol. 7, No. 5, pp. 28-34, 2000. P. Bahl, and V. N. Padmanabhan, “RADAR: An In-Building RF-based User Location and Tracking System,” Proc. of IEEE INFOCOM 2000, Vol. 2, pp. 775-784, 2000. H.C. Chu, C.J. Li, C.Y. Chen and H.W. Yu,”Location Tracking with Power-level Switch for Wireless Sensor Network,” Proc. of International Conference on Intelligent Systems Design and Application(ISDA), Vol. 1,pp. 542-547, Kaohsiung, Taiwan, Nov. 26-28, 2008. M. Chaudhary and A. K. Pujari,” Q-Coverage Problem in Wireless Sensor Networks,” ICDCN 2009, LNCS 5408, pp. 325–330, 2009. H. Liu, W. Chen, H. Ma, and D. Li,” Energy-Efficient Algorithm for the Target Q-coverage Problem in Wireless Sensor Networks,” WASA 2010, LNCS 6221, pp. 21–25, 2010. C. Gui and P. Mohapatra,” Virtual Patrol: A New Power Conservation Design for Surveillance Using Sensor Networks,” IPSN. ACM/IEEE, pp. 246-253, 2005 H. T. Kung and D. Vlah,” Efficient Location Tracking Using Sensor Networks,” Proc. of 2003 IEEE Wireless Communications and Networking Conference (WCNC), Vol. 3, pp. 1954-1961 J. Xu, X. Tang,and W. C. Lee,“A New Storage Scheme for Approximate Location Queries in Object-Tracking Sensor Networks,” IEEE Transactions on Parallel and Distributed Systems, Vol. 19, No. 2, pp. 262-275, Feb. 2008 L. Gu and J. A. Stankovic, “Radio-triggered wake-up for wireless sensor networks,” Real-Time Systems, Vol. 29, pp. 157–182, 2005. X. Du, and F. Lin, “Efficient Energy Management Protocol for Target Tracking Sensor Networks,” Proc. of IEEE International Symposium on Integrated Network Management, pp. 45–58, 2005 K. Kalpakis, K. Dasgupta, and P. Namjoshi, “Maximum Lifetime Data Gathering and Aggregation in Wireless Sensor Network,” Proc. of IEEE International Conference on Networking, pp. 685–696, 2002. S. D. Muruganathan and A. O. Fapojuwo, D. C. F. Ma, R. I. Bhasin,” A Centralized Energy-Efficient Routing Protocol for Wireless Sensor Networks,” IEEE Communications Magazine, Vol. 43, No. 3, pp. 8–13, 2005. H. Q. Tan and I. K. Lu, “Power Efficient Data Gathering and Aggregation in Wireless Sensor Networks,” ACM SIGMOD Record, Vol. 32, No. 4, pp. 66–71, 2003. D. Tian, and N. D. Georganas, “A Node Scheduling Scheme for Energy Conservation in Large Wireless Sensor Networks,” Journal on Wireless Communications and Mobile Computing, Vol. 3, No. 2, pp. 271–290, 2003. D. Tian, and N. D. Georganas, “A Coverage-Preserving Node Scheduling Scheme for Large Wireless Sensor Networks,” Proc. of the 1st ACM International Workshop on Wireless Sensor Networks and Applications, pp. 32–41, 2002. M. Tubaishat and S. Madria “Sensor Networks:An Overview,” IEEE Potentials, Vol. 22, No. 2, pp.20–23, 2003.||摘要:||
Object tracking is an important research topic in wireless sensor networks. The position precision and energy consumption are two important concerns in considering the object tracking process. The main purpose of this paper is to propose a position tracking method with low computational complexity and energy consumption based on the environmental constraints of wireless sensor networks. In this paper, we use the history of moving information of an object to select the wake-up sensor to ensure minimal number of sensors required. The experimental results show that our proposed method has advantages of low position error and low power consumption.
|Appears in Collections:||資訊科學與工程學系所|
Show full item record
TAIR Related Article
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.