Information quality-aware tracking in uncertain sensor network

This paper proposes an information quality IQ aware tracking algorithm that reduces energy consumption for moving target tracking in uncertain sensor networks with guarantee of given quality constraints. We first model the uncertainty in sensor networks. Then, we map information quality to the combination of sensed data error, residual energy and energy cost of sensor nodes. Moreover, the problem of IQ-aware nodes selection is induced and an energy-efficient tracking algorithm based on nodes selection is presented. Finally, a comprehensive set of simulations is presented. We conclude that the proposed tracking algorithm yields excellent tracking performance in sensor networks under uncertainty.

[1]  Tarek F. Abdelzaher,et al.  Towards optimal sleep scheduling in sensor networks for rare-event detection , 2005, IPSN 2005. Fourth International Symposium on Information Processing in Sensor Networks, 2005..

[2]  Parameswaran Ramanathan,et al.  Distributed target classification and tracking in sensor networks , 2003 .

[3]  Boleslaw K. Szymanski,et al.  Distributed energy-efficient target tracking with binary sensor networks , 2010, TOSN.

[4]  Guohong Cao,et al.  DCTC: dynamic convoy tree-based collaboration for target tracking in sensor networks , 2004, IEEE Transactions on Wireless Communications.

[5]  Gang Zhou,et al.  Achieving Long-Term Surveillance in VigilNet , 2006, Proceedings IEEE INFOCOM 2006. 25TH IEEE International Conference on Computer Communications.

[6]  Dan Wang,et al.  Tracking with Unreliable Node Sequences , 2009, IEEE INFOCOM 2009.

[7]  Jaehoon Jeong,et al.  MCTA: Target Tracking Algorithm Based on Minimal Contour in Wireless Sensor Networks , 2007, IEEE INFOCOM 2007 - 26th IEEE International Conference on Computer Communications.

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

[9]  C. Mani Krishna,et al.  Management of target-tracking sensor networks , 2010, Int. J. Sens. Networks.

[10]  Peng Ning,et al.  TinySeRSync: secure and resilient time synchronization in wireless sensor networks , 2006, CCS '06.

[11]  Dimitrios Gunopulos,et al.  Online outlier detection in sensor data using non-parametric models , 2006, VLDB.

[12]  Jianzhong Li,et al.  TPSS: A two-phase sleep scheduling protocol for object tracking in sensor networks , 2009, 2009 IEEE 6th International Conference on Mobile Adhoc and Sensor Systems.

[13]  Lihua Xie,et al.  Target tracking in wireless sensor networks using compressed Kalman filter , 2009, Int. J. Sens. Networks.

[14]  Nisheeth Shrivastava,et al.  Target tracking with binary proximity sensors , 2009, TOSN.

[15]  Xiuzhen Cheng,et al.  Fault tolerant target tracking in sensor networks , 2009, MobiHoc '09.

[16]  Xiaohua Jia,et al.  Data fusion improves the coverage of wireless sensor networks , 2009, MobiCom '09.

[17]  Feng Zhao,et al.  Information-Driven Dynamic Sensor Collaboration for Tracking Applications , 2002 .

[18]  Theo Ungerer,et al.  Optimisations for LocSens - an indoor location tracking system using wireless sensors , 2009, Int. J. Sens. Networks.

[19]  Charu C. Aggarwal.  On Unifying Privacy and Uncertain Data Models , 2008, 2008 IEEE 24th International Conference on Data Engineering.

[20]  David Evans,et al.  Localization for mobile sensor networks , 2004, MobiCom '04.

[21]  Haibin Yu,et al.  Investigating upper bounds on lifetime for target tracking sensor networks , 2008, Int. J. Sens. Networks.

[22]  Jie Gao,et al.  Differential Forms for Target Tracking and Aggregate Queries in Distributed Networks , 2013, IEEE/ACM Transactions on Networking.

[23]  Maurizio Longo,et al.  Energy-efficient collaborative tracking in wireless sensor networks , 2011, Int. J. Sens. Networks.

[24]  Mun Choon Chan,et al.  Information Quality Aware Routing in Event-Driven Sensor Networks , 2010, 2010 Proceedings IEEE INFOCOM.

[25]  Parameswaran Ramanathan,et al.  Fault tolerance in collaborative sensor networks for target detection , 2004, IEEE Transactions on Computers.