A Proposal of Sensor Data Collection System Using Mobile Relay Nodes

Ryota Ayaki, Hideki Shimada, Kenya Sato

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DOI: 10.4236/wsn.2012.41001                

Abstract

In recent years, as embedded devices become smaller, cheaper and more diverse, the demand for urban sensing systems that present valuable information to users is increasing. However, in achieving urban sensing systems, the communication channel from the sensors to the data centers pose a problem, especially in respect to the cost of furnishing IP/mobile networks for each and every one of the sensor nodes. Many existing researches attempt to tackle this problem, but they generally limit either the types of sensors used or the distances among the sensors. In this paper, we propose a new sensor data collection system model in which mobile relay nodes transport the sensor data to the data center. We ran simulations under conditions imitating the real world to verify the practicality of the proposed system. This simulation uses data accumulated from traffic surveys to closely imitate pedestrians in the real world. We evaluated that the proposed system has sufficient ability to use in urban sensing systems that are not under the real-time constraint.

Keywords

Wireless Sensor Networks; Data Aggregation; DTN; Mobile Networks

Conflicts of Interest

The authors declare no conflicts of interest.

References

[1]	I. Akyildiz, W. Su, W. Sankarasubramaniam and E. Cayirci, “Wireless Sensor Networks A Survey,” Computer Networks Elsevier Journal, Vol. 38, No. 4, 2002, pp. 393-422. doi:10.1016/S1389-1286(01)00302-4
[2]	G. Pottie, “Wireless Sensor Networks,” Proceedings of Information Theory Workshop, 1998, pp. 139-140.
[3]	K. Fall, “A Delay-Tolerant Network Architecture for Challenged Internets,” Proceedings of the 2003 conference on Applications, technologies, architectures, and protocols for computer communications, 2003.
[4]	K. Mohri, T. Hasegawa and R. Kurazume, “Cooperative Tracking of Pedestrian by an On-Board LRF of Mobile Robot and a Fixed Vision,” Proceedings of the 2008 JSME Conference on Robotics and Mechatronics, Vol. 2P1-H10, 2008.
[5]	T. Nanri and N. Otsu, “Anomaly Detection in Motion Images Containing Multiple Persons,” Transactions of Information Processing Society of Japan, Vol. 46, No. SIG-15, 2005, pp. 43-50.
[6]	Y. Kobayashi, Y. Sato and A. Sugimoto, “Estimation of People’s Trajectory by Using Sparse Distributed Cameras,” Meeting on Image Recognition and Understanding, 2006, pp. 1213-1218.
[7]	T. Fukatsu and M. Hirafuji, “Long-Term Monitoring System Using Field Monitoring Servers,” Proceedings of AFITA/WCCA Joint Congress on IT in Agriculture, 2004, pp. 685-691.
[8]	S. Guo, M. Falaki, E. Oliver, S. Rahman, A. Seth, M. Zaharia, U. Ismail and S. Keshav, “Design and Implementation of the KioskNet System,” International Conference on Information Technologies and Development, 2007.
[9]	A. Pentland, R. Fletcher and A. Hasson, “DakNet: Rethinking Connectivity in Developing Nations,” Computer, Vol. 37, No. 1, 2004, pp. 78-83. doi:10.1109/MC.2004.1260729
[10]	K. Oshima, Y. Ishida, S. Konomi and Y. Tobe, “Exploring the Uses of Pressure Sensors and Accelerometers,” Proceedings of Forum of Information Technology, 2009, pp. 251-252.
[11]	M. Izumi, R. Wakikawa, Y. Kawakita and Y. Akiyama, “Internet ITS Project Overview,” Transactions of Information Processing Society of Japan, Vol. 43, No. 4, 2002.
[12]	N. Tokitsu and K. Takahashi, “Internet ITS Project Verification Test,” Transactions of Information Processing Society of Japan, Vol. 43, No. 4, 2002.