A Type of Localization Method Using Mobile Beacons Based on Spiral-Like Moving Path for Wireless Sensor Networks

A type of energy optimization localization method with mobile beacon is proposed in this paper. Traverse point of the mobile beacon is marked with the help of the optimum deployment model and the clockwise spiral-like moving path with fixed step size is also established. According to the moving path and the localization time, energy consumption of the network could be estimated and we could also give the sleep scheduling strategy for the node to be localized. Simulation results show that this method could not only promote the accuracy and success rate of localization, but also reduce the energy consumption.

[1]  Gianluca Mazzini,et al.  Localization in sensor networks with fading and mobility , 2002, The 13th IEEE International Symposium on Personal, Indoor and Mobile Radio Communications.

[2]  Jennifer C. Hou,et al.  Maintaining Sensing Coverage and Connectivity in Large Sensor Networks , 2005, Ad Hoc Sens. Wirel. Networks.

[3]  Jiannong Cao,et al.  Accurate and Energy-Efficient Range-Free Localization for Mobile Sensor Networks , 2010, IEEE Transactions on Mobile Computing.

[4]  Yu-Chee Tseng,et al.  The Coverage Problem in a Wireless Sensor Network , 2003, WSNA '03.

[5]  Chia-Ho Ou,et al.  Path Planning Algorithm for Mobile Anchor-Based Localization in Wireless Sensor Networks , 2013, IEEE Sensors Journal.

[6]  Yi Wang,et al.  Weighted centroid localization for wireless sensor networks , 2014, 2014 IEEE International Conference on Consumer Electronics - China.

[7]  Bruce Mehrdadi,et al.  Intelligent Wireless Sensor Network , 2010 .

[8]  Ning Xin-xian.  Node Localization of Wireless Sensor Networks Based on Mobile Beacon , 2009 .

[9]  Tarek F. Abdelzaher,et al.  Range-free localization schemes for large scale sensor networks , 2003, MobiCom '03.

[10]  S. Seidel,et al.  914 MHz path loss prediction models for indoor wireless communications in multifloored buildings , 1992 .

[11]  Kiseon Kim,et al.  Distance Estimation With Weighted Least Squares for Mobile Beacon-Based Localization in Wireless Sensor Networks , 2010, IEEE Signal Processing Letters.

[12]  Yu Li.  Location Algorithm Based on the Mobile Beacon Node in Wireless Sensor Networks , 2008 .

[13]  Shi Long,et al.  Self-Localization Systems and Algorithms for Wireless Sensor Networks , 2005 .

[14]  Yang Yang,et al.  Getting Mobile Beacon Path for Sensor Localization , 2008 .

[15]  B. R. Badrinath,et al.  Ad hoc positioning system (APS) using AOA , 2003, IEEE INFOCOM 2003. Twenty-second Annual Joint Conference of the IEEE Computer and Communications Societies (IEEE Cat. No.03CH37428).

[16]  Cishen Zhang,et al.  Energy-Based Multiple Target Localization and Pursuit in Mobile Sensor Networks , 2012, IEEE Transactions on Instrumentation and Measurement.

[17]  Jang-Ping Sheu,et al.  Distributed Localization Scheme for Mobile Sensor Networks , 2010, IEEE Transactions on Mobile Computing.

[18]  Bhaskar Krishnamachari,et al.  Ecolocation: a sequence based technique for RF localization in wireless sensor networks , 2005, IPSN 2005. Fourth International Symposium on Information Processing in Sensor Networks, 2005..

[19]  Vinay Kolar,et al.  Dynamic localization control for mobile sensor networks , 2005, PCCC 2005. 24th IEEE International Performance, Computing, and Communications Conference, 2005..

[20]  H. Vincent Poor,et al.  Mobile element assisted cooperative localization for wireless sensor networks with obstacles , 2010, IEEE Transactions on Wireless Communications.

[21]  Li Shi,et al.  Getting Mobile Beacon Path for Sensor Localization , 2008 .