Browse > Article
http://dx.doi.org/10.5762/KAIS.2010.11.4.1294

Localization Algorithm in Wireless Sensor Networks using the Acceleration sensor  

Hong, Sung-Hwa (Division of Computer Science, Dongyang Mirae University)
Jung, Suk-Yong (Division of Computer Science, Dongyang Mirae University)
Publication Information
Journal of the Korea Academia-Industrial cooperation Society / v.11, no.4, 2010 , pp. 1294-1300 More about this Journal
Abstract
In an environment where all nodes move, the sensor node receives anchor node's position information within communication radius and modifies the received anchor node's position information by one's traveled distance and direction in saving in one's memory, where if there at least 3, one's position is determined by performing localization through trilateration. The proposed localization mechanisms have been simulated in the Matlab. In an environment where certain distance is maintained and nodes move towards the same direction, the probability for the sensor node to meet at least 3 anchor nodes with absolute coordinates within 1 hub range is remote. Even if the sensor node has estimated its position with at least 3 beacon information, the angle ${\theta}$ error of accelerator and digital compass will continuously apply by the passage of time in enlarging the error tolerance and its estimated position not being relied. Dead reckoning technology is used as a supplementary position tracking navigation technology in places where GPS doesn't operate, where one's position can be estimated by knowing the distance and direction the node has traveled with acceleration sensor and digital compass. The localization algorithm to be explained is a localization technique that uses Dead reckoning where all nodes are loaded with omnidirectional antenna, and assumes that one's traveling distance and direction can be known with accelerator and digital compass. The simulation results show that our scheme performed better than other mechanisms (e.g. MCL, DV-distance).
Keywords
Localization; Sensor Network; Acceleration; Ubiquitous; Anchor;
Citations & Related Records
연도 인용수 순위
  • Reference
1 Dragos Niculescu and Badri Nath. DV Based Positioning in Ad hoc Networks. Kluwer Journal of Telecommunication Systems. 2003.
2 Tian He, Chengdu Huang, Brian M. Blum, John A. Stankovic, Tarek Abdelzaher. Range-free Localization Schemes for Large Scale Sensor Networks. MobiCom 2003.
3 S. Tilak, V. Kolar, N. B. Abu-Ghazaleh, and K. D. Kang, "Dynamic localization control for mobile sensor networks," in IEEE IWSEEASN, 2005.
4 P. Bergamo and G. Mazzimi, "Localization in sensor networks with fading and mobility," in IEEE PIMRC, 2002.
5 Lingxuan Hu, David Evans, "Localization for Mobile Sensor Networks", MobiCom 2004, Sept. 26.
6 K. F. Ssu, C. H. Ou, and H. C. Jiau, "Localization with Mobile Anchor Points in Wireless Sensor Networks," IEEE Transactions on Vehicular Technology, vol. 54, no. 3, pp. 1187-1197, May 2005.   DOI
7 Neal Patwari and Alfred O. Hero III. Using Proximity and Quantized RSS for Sensor Localization in Wireless Networks. Workshop on Wireless Sensor Networks and Applications. September 2003.
8 Andreas Savvides, Chih-Chieh Han, Mani B.Strivastava. Dynamic fine-grained localization in Ad-Hoc networks of sensors. MobiCom 2001.
9 B. H. Wellenhoff, H. Lichtenegger and J. Collins. Global Positioning System: Theory and Practice, Fourth Edition. Springer Verlag. 1997.
10 Dragos Niculescu and Badri Nath. Ad Hoc Positioning System (APS) Using AoA. IEEE InfoCom 2003.
11 Nirupama Bulusu, John Heidemann and Deborah Estrin. GPS-less Low Cost Outdoor Localization for Very Small Devices. IEEE Personal Communications Magazine. October 2000.