Anchor-Guiding Mechanism for Beacon-Assisted Localization in Wireless Sensor Networks

Localization is one of the most important issues in wireless sensor networks (WSNs). In the most widely proposed range-free algorithms, nodes estimate location by employing the geometric constraints imposed by the location of the mobile anchor. However, none of them addresses how the mobile anchor moves to optimize the improvement of location inaccuracies and minimize the anchor's movement. This paper assumes that previous range-free algorithms have been executed for a period of time and the deployed sensors are of different location inaccuracies. According to the size of the estimative region of each static sensor, an anchor-guiding mechanism is proposed to determine the beacon locations and construct an efficient path for the mobile anchor. Experimental study reveals that the proposed anchor-guiding mechanism effectively guides the mobile anchor to move along an efficient path, thereby saving the time required for improving or balancing the location inaccuracies of all sensor nodes.

[1]  Yunhao Liu,et al.  Perpendicular Intersection: Locating Wireless Sensors with Mobile Beacon , 2008, 2008 Real-Time Systems Symposium.

[2]  Wei Dong,et al.  Adapting Mobile Beacon-Assisted Localization in Wireless Sensor Networks , 2009, Sensors.

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

[4]  Brad Karp,et al.  GPSR: greedy perimeter stateless routing for wireless networks , 2000, MobiCom '00.

[5]  Suprakash Datta,et al.  Localization in wireless sensor networks , 2007, IPSN.

[6]  Shuigeng Zhou,et al.  Distributed Localization Using a Moving Beacon in Wireless Sensor Networks , 2008, IEEE Transactions on Parallel and Distributed Systems.

[7]  Shuigeng Zhou,et al.  A Walking Beacon-Assisted Localization in Wireless Sensor Networks , 2007, 2007 IEEE International Conference on Communications.

[8]  Gul A. Agha,et al.  Passive Localization: Large Size Sensor Network Localization Based on Environmental Events , 2008, 2008 International Conference on Information Processing in Sensor Networks (ipsn 2008).

[9]  T.V. Srinath Localization in resource constrained sensor networks using a mobile beacon with in-ranging , 2006, 2006 IFIP International Conference on Wireless and Optical Communications Networks.

[10]  S. Pattem,et al.  Distributed online localization in sensor networks using a moving target , 2004, Third International Symposium on Information Processing in Sensor Networks, 2004. IPSN 2004.

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

[12]  Wonjun Lee,et al.  MBAL: A Mobile Beacon-Assisted Localization Scheme for Wireless Sensor Networks , 2007, 2007 16th International Conference on Computer Communications and Networks.

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

[14]  M. Gerla,et al.  GloMoSim: a library for parallel simulation of large-scale wireless networks , 1998, Proceedings. Twelfth Workshop on Parallel and Distributed Simulation PADS '98 (Cat. No.98TB100233).

[15]  Yu-Chee Tseng,et al.  The Beacon Movement Detection Problem in Wireless Sensor Networks for Localization Applications , 2009, IEEE Transactions on Mobile Computing.

[16]  Kui Wu,et al.  Sensor localization with Ring Overlapping based on Comparison of Received Signal Strength Indicator , 2004, 2004 IEEE International Conference on Mobile Ad-hoc and Sensor Systems (IEEE Cat. No.04EX975).

[17]  Vincent W. S. Wong,et al.  Concentric Anchor Beacon Localization Algorithm for Wireless Sensor Networks , 2007, IEEE Transactions on Vehicular Technology.