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Research on Target Tracking Algorithm in Wireless Sensor Networks

Author: ZhangHongFei
Tutor: YuLi
School: Zhejiang University of Technology
Course: Detection Technology and Automation
Keywords: Wireless sensor networks Target tracking Sleep scheduling mechanism Beacon selection
CLC: TN95
Type: Master's thesis
Year: 2010
Downloads: 71
Quote: 0
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Abstract


Target tracking technology has important research and application of value in both the military and civilian spheres , the emergence of wireless sensor networks for target tracking provides a new solution . Wireless sensor network node small size , low cost , wireless communication , and flexible node deployment , compared with the traditional tracking systems , more suitable for positioning and tracking of moving targets . The same time , the wireless sensor network energy is limited, the transmission unreliable and nodes prone to failure and limitations , target tracking technology there are still many difficulties and challenges in wireless sensor network applications . This paper studies a wireless sensor network target tracking algorithm , the existing low power tracking algorithm accuracy higher tracking algorithm based on local beacon selection . The algorithm takes into account the the node working condition and node position topological relations network energy consumption and tracking accuracy . The simulation results show that the improved algorithm can achieve the ideal requirements tracking accuracy , energy consumption , stability , and has practical significance for target tracking in wireless sensor networks . This paper work and results are as follows : 1) introduce the basic concepts and features of wireless sensor networks and explains the process of target tracking , as well as the existing research results . 2 ) study of wireless sensor network coverage optimization strategy , node sleep scheduling mechanism based on Voronoi diagram , the simulation results show that the scheduling policy is efficient and energy-saving . 3 ) analysis of the positioning accuracy of location topological relations between nodes , selected a beacon Simulation results show that the positioning accuracy and stability demonstrated better performance for a reasonable choice letter the marked node positioning tracking provides the basis . 4 ) combination of the Voronoi diagram sleep scheduling mechanism and beacon selection , design a tracking algorithm based on local beacon selection . Simulation results show that the algorithm improves tracking quality and network energy consumption . 5) Finally, the full text summary and further study proposes outlook .

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