Adaptive Power Control based Efficient Localization Technique in Mobile Wireless Sensor Networks

ABSTRACT Given the increased interest in ubiquitous computing, wireless sensor network has been researched widely. The localization service which provides the location information of mobile user, is one of important service provided by sensor network. Many methods to obtain the location information of mobile user have been proposed. However, these methods were developed for only one mobile user so that it is hard to extend for multiple mobile users. If multiple mobile users start the localization process concurrently, there could be interference of beacon or ultrasound that each mobile user transmits. In the paper, we propose APL(Adaptive Power Control based Resource Allocation Technique for Efficient Localization Technique), the localization technique for multiple mobile nodes based on adaptive power control in mobile wireless sensor networks. In APL, collision of localization between sensor nodes is prevented by forcing the mobile node to get the permission of localization from anchor nodes. For this, we use RTS(Ready To Send) packet type for localization initiation by mobile node and CTS(Clear To Send) packet type for localization grant by anchor node. NTS(Not To Send) packet type is used to reject localization by anchor node for interference avoidance and STS(Start To Send) for synchronization between 모anchor nodes. At last, the power level of sensor node is controled adaptively to minimize the affected area. The experimental result shows that the number of interference between nodes are increased in proportion to the number of mobile nodes and APL provides efficient localization.Keywords:Sensor Network, Localization, Multiple Mobile Node, Interference, Avoidance

[1]  Deborah Estrin,et al.  GPS-less low-cost outdoor localization for very small devices , 2000, IEEE Wirel. Commun..

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

[3]  Mani B. Srivastava,et al.  Dynamic fine-grained localization in Ad-Hoc networks of sensors , 2001, MobiCom '01.

[4]  Bhaskar Krishnamachari,et al.  Fast/fair mobile localization in infrastructure wireless sensor networks , 2007, MOCO.

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

[6]  Klaus Rindtorff,et al.  Pervasive Computing: Technology and Architecture of Mobile Internet Applications , 2002 .

[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]  Hojung Cha,et al.  Tracking multiple mobile objects using IEEE 802.15.4-based ultrasonic sensor devices , 2007, SAC '07.

[9]  J. Singh,et al.  Tracking Multiple Targets Using Binary Proximity Sensors , 2007, 2007 6th International Symposium on Information Processing in Sensor Networks.

[10]  Gaetano Borriello,et al.  A Survey and Taxonomy of Location Systems for Ubiquitous Computing , 2001 .

[11]  Gaetano Borriello,et al.  Location Systems for Ubiquitous Computing , 2001, Computer.

[12]  B. R. Badrinath,et al.  DV Based Positioning in Ad Hoc Networks , 2003, Telecommun. Syst..

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