An Energy-Efficient Location Error Handling Technique for Mobile Object Tracking in Wireless Sensor Networks

The performance of an energy-efficient object tracking system depends on its accuracy in predicting the next destination of a mobile event. Unfortunately, a sophisticated prediction method cannot be operated in sensor nodes which have low computational power and storage. Moreover, precise prediction alone cannot be guaranteed to eliminate error in the future destination of the object in real circumstances. In this paper, we present a location error handling technique to prevent and handle this error efficiently. Real situations such as an unexpected change in the mobile event's direction, failure of event-detection and failure of transmitting an error message are considered when designing the error handling technique. This simple yet effective solution complements the weakness of the energy-efficient object tracking paradigm. From experiments on both real hardware and simulation, our method outperformed the existing work.

[1]  Wang-Chien Lee,et al.  Dual prediction-based reporting for object tracking sensor networks , 2004, The First Annual International Conference on Mobile and Ubiquitous Systems: Networking and Services, 2004. MOBIQUITOUS 2004..

[2]  Wang-Chien Lee,et al.  Prediction-based strategies for energy saving in object tracking sensor networks , 2004, IEEE International Conference on Mobile Data Management, 2004. Proceedings. 2004.

[3]  Feng Zhao,et al.  Scalable Information-Driven Sensor Querying and Routing for Ad Hoc Heterogeneous Sensor Networks , 2002, Int. J. High Perform. Comput. Appl..

[4]  David E. Culler,et al.  TOSSIM: accurate and scalable simulation of entire TinyOS applications , 2003, SenSys '03.

[5]  Prasant Mohapatra,et al.  Power conservation and quality of surveillance in target tracking sensor networks , 2004, MobiCom '04.

[6]  Biplab Sikdar,et al.  A protocol for tracking mobile targets using sensor networks , 2003, Proceedings of the First IEEE International Workshop on Sensor Network Protocols and Applications, 2003..

[7]  Sung-Min Lee,et al.  A locating mechanism for multiple mobile nodes in wireless sensor networks , 2005, 11th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA'05).

[8]  Ian F. Akyildiz,et al.  Sensor Networks , 2002, Encyclopedia of GIS.

[9]  J. Nemeroff,et al.  Application of sensor network communications , 2001, 2001 MILCOM Proceedings Communications for Network-Centric Operations: Creating the Information Force (Cat. No.01CH37277).

[10]  Guoliang Xing,et al.  Dynamic wake-up and topology maintenance protocols with spatiotemporal guarantees , 2005, IPSN 2005. Fourth International Symposium on Information Processing in Sensor Networks, 2005..

[11]  Songwu Lu,et al.  PEAS: a robust energy conserving protocol for long-lived sensor networks , 2003, 23rd International Conference on Distributed Computing Systems, 2003. Proceedings..

[12]  Stephen Pink,et al.  MobiCast: A multicast scheme for wireless networks , 2000, Mob. Networks Appl..

[13]  Richard R. Brooks,et al.  Self-Organized Distributed Sensor Network Entity Tracking , 2002, Int. J. High Perform. Comput. Appl..

[14]  Deborah Estrin,et al.  Habitat monitoring with sensor networks , 2004, CACM.