A New Method of Target Tracking with Wireless Sensor Networks

  IJCTT-book-cover
 
         
 
© 2020 by IJCTT Journal
Volume-68 Issue-4
Year of Publication : 2020
Authors : Chien-Hsing Huang, Pao-Chu Chen, Chi-Chang Chen
DOI :  10.14445/22312803/IJCTT-V68I4P128

How to Cite?

Chien-Hsing Huang, Pao-Chu Chen, Chi-Chang Chen, "A New Method of Target Tracking with Wireless Sensor Networks," International Journal of Computer Trends and Technology, vol. 68, no. 4, pp. 175-182, 2020. Crossref, https://doi.org/10.14445/22312803/IJCTT-V68I4P128

Abstract
Target tracking is one of the important topics in wireless sensor network (WSN) research. Monitoring enemy intrusions, surveilling wildlife animals and tracking specific people are examples of target tracking. Target Tracing needs to track and collect information about monitoring targets. Many solutions of using WSNs to perform target tracking have been proposed in the research. A common method is to wake up the sensors in a WSN in a predictive manner and only needs to activate a few sensors that could track the next step of a target. However, target tracking requires a trade-off between accuracy and energy saving. In order to save the energy of sensors, the number of wakeup sensors may be too small and the prediction itself is thus uncertain. On the hand, the sensors may consume too much energy in order to ensure that the target is not lost. In this paper we propose a tracking target method called Hexagonal Routing Repair Procedure (HRRP). The method uses regular hexagons to tessellate the entire sensing area and the sensors route the sensor information back to the base station through Hexagonal Hierarchy. The target`s current position and maximum speed can be used to calculate the target`s possible range of motion, and we only need to wake up the nearby hexagonal cluster to track targets, and thus saving energy as well as preserving the accuracy.

Keywords
Wireless sensor networks, Target tracking, Data routing, Cluster networks

Reference
[1] Pan Zhenjun et al. (2010), “Wireless Sensor Network Platform and Application”. Scientific Development, Vol. 447.
[2] Rajkumar, Dr. H. G. Chandrakanth, "Event-detection Clustering Algorithm for Wireless Sensor Networks" International Journal of Computer Trends and Technology vol. 67 no. 3 (2019): 92-98.
[3] Prof. Yuh-Shyan Chen (2012), “Wireless Sensor Network”, http://www.csie.ntpu.edu.tw/~yschen/course/2012-1/WNMC/ch4.pdf, access on 2019/7/7.
[4] Jin-Hong Liang (2015), “Research on Anchor Sensor Data Collection for Wireless Sensor Networks”, Master`s Thesis, Department of Information Engineering, I-Shou University
[5] C.-C. Chen and T.-C. Lin (2013), “A Low-Cost Anchor Placement Strategy for Range-Free Localization Problems in Wireless Sensor Networks”, International Journal of Distributed Sensor Networks, vol. 2013, pp. 1-12.
[6] X. Xing, G. Wang, and J. Wu (2009), “Herd-Based Target Tracking Protocol in Wireless Sensor Networks”, in WASA: International Conference on Wireless Algorithms, Systems, and Applications, August 16-18, 2009 ,pp. 135-148.
[7] Wensheng Zhang and Guohong Cao (2004), “DCTC: dynamic convoy tree-based collaboration for target tracking in sensor networks”, IEEE Transactions on Wireless Communications, vol. 3, pp. 1689-1701
[8] T. Jine, W. Zhenhua, D. Chu, Z. Zhangbing, and S. Yunchuan (2014), “Object tracking in wireless sensor networks using an itinerary-based method”, in 2014 9th International Conference on Communications and Networking in China,, pp. 38-43.
[9] T. Alhmiedat, A. O. Abu Salem, and A. Abu Taleb (2013), “An Improved Decentralized Approach for Tracking Multiple Mobile Targets through ZigBee WSNs”, International Journal of Wireless & Mobile Networks, vol. 5, pp. 61-76.
[10] Chi-Chang Chen, Chi-Yu Chang, Po-Ying Chen, "Linear Time Approximation Algorithms for the Relay Node Placement Problem in Wireless Sensor Networks with Hexagon Tessellation", Journal of Sensors, vol. 2015, pp. 1-12