Abstract
In general, it requires lots of complicated and expensive processing functions to find the exact location of a mobile target. For example, Ubiquitous Robotic Companion (URC) system should be equipped with powerful resources or be given an aid from the external servers to find its location for itself. Sensor network that consists of inexpensive low-power sensors can provide an efficient solution to find the exact location of such a mobile target at a low price. In such applications, if all sensor nodes have to always wake up to find location of the mobile robot, we have to pay a lot of waste of resources such as battery power and channel utilization. In this paper, we propose a cheap and energy efficient location tracking method of a mobile robot by minimizing the number of sensor nodes participating in the task of target tracking.
Chapter PDF
Similar content being viewed by others
References
Oh, S.R.: IT Based Intelligent Service Robot. In: Proceeding of the First NSF PI Workshop on Robotics and Computer Vision(RCV 2003), Las Vegas (October 2003)
Kim, H., Cho, Y.-J., Oh, S.-R.: CAMUS: A middleware supporting context-aware services for network-based robots. In: Proceeding of the IEEE Workshop on Advanced Robotics and its Social Impacts (ARSO) (2005)
Tilak, S., Kolar, V., Abu-Ghazaleh, N.B., Kyoun-Dong, K.: Dynamic Localization Protocols for Mobile Sensor Networks. In: Proceeding of the IEEE IWSEEASN (2005)
Gui, C., Mohapatra, P.: Power conservation and quality of surveillance in target tracking sensor networks. In: Proceeding of the ACM MobiCom (2004)
Xu, Y., Winter, J., Lee, W.-C.: Prediction-based strategies for energy saving in object tracking sensor networks. In: Proceeding of IEEE International Conference on Mobile Data Management (MDM) (2004)
Estrin, D., Govindan, R., Heidemann, J., Kumar, S.: Next century challenges: Scalable coordination in sensor networks. In: Proceeding of the ACM/IEEE International Conference on Mobile Computing and Networking (1999)
Yan, T., He, T., Stankovic, J.: Differentiated surveillance for sensor networks. In: Proceeding of ACM SenSys (2003)
He, T., Krishnamurthy, S., Stankovic, J., Abdelzaher, T., Luo, L., Storelu, R., Yan, T., Gu, L., Hui, J., Krogh, B.: Energy-efficient surveillance system using wireless sensor networks. In: Proceeding of the MobiSYS 2004 (2004)
Xu, Y., Lee, W.-C.: On Localized Prediction for Power Efficient Object Tracking in Sensor Networks. In: Proceeding of the Intionational Workshop on Mobile Distributed Computing (MDC) (2003)
Brooks, R., Griffin, C.: Traffic model evaluation of ad hoc target tracking algorithms. In: Proceeding of the International Journal of High Performance Computer Applications (2002)
Brooks, R., Griffin, C., Friedlander, D.S.: Self-organized distributed sensor networks entity tracking. In: Proceeding of the International Journal of High Performance Computer Applications (2002)
Li, D., Wong, K., Hu, Y., Sayeed, A.: Detection, Classification, Tracking of Targets in Micro-sensor Networks. In: Proceeding of the IEEE Signal Processing Magazine, March 2002, pp. 17–29 (2002)
Goel, S., Imielinski, T.: Prediction-based monitoring in sensor networks: tasking lessons from MPEG. In: Proceeding of the ACM Computer Communication Review (2001)
Zhao, F., Liu, J., Liu, J.J., Guibas, L., Reich, J.: Collaborative signal and information processing: An information directed approach. In: Proceeding of the IEEE (2003)
Camp, T., Boleng, J., Davies, V.: A survey of mobility models for ad hoc network research. In: Proceeding of the Wireless Communication & Mobile Computing (WCMC): Special issue on Mobile Ad Hoc Networking (2002)
Smith, A., Balakrishnan, H., Goraczko, M., Priyantha, N.: Tracking Moving Devices with the Cricket Location Systems. In: Proceeding of the Mobisys (2004)
Yang, H., Sikdar, B.: A Protocol for Tracking Mobile Targets using Sensor Networks. In: Proceeding of the IEEE Workshop Sensor Network Protocols and Applications (in conjunction with IEEE ICC) (May 2003)
Kim, H., Kim, E., Han, K.-J.: An energy efficient tracking method in wireless sensor networks. In: Koucheryavy, Y., Harju, J., Iversen, V.B. (eds.) NEW2AN 2006. LNCS, vol. 4003, pp. 278–286. Springer, Heidelberg (2006)
Yu, X., Niyogi, K., Mehrotra, S., Venkatasubramanian, N.: Adaptive Target Tracking in Sensor Networks. In: Proceeding of the Communication Networks and Distributed Systems Modeling and Simulation Conference (CNDS 2004) (2004)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2006 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Kim, H., Son, J., Lee, S., Han, K. (2006). An Energy Efficient Method for Tracking Mobile Ubiquitous Robots Using Wireless Sensor Network. In: Cuenca, P., Orozco-Barbosa, L. (eds) Personal Wireless Communications. PWC 2006. Lecture Notes in Computer Science, vol 4217. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11872153_31
Download citation
DOI: https://doi.org/10.1007/11872153_31
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-45174-7
Online ISBN: 978-3-540-45176-1
eBook Packages: Computer ScienceComputer Science (R0)