Open Access Open Access  Restricted Access Subscription Access
Open Access Open Access Open Access  Restricted Access Restricted Access Subscription Access

Analytical Survey of Localisation Strategies in Wireless Sensor Networks and their Applicability in WSN Applications


     

   Subscribe/Renew Journal


The use of state of art wireless sensor networks in various day to day problems require spatio-temporal distribution of sensed data to get the clear vision of the data and its pattern. As large no of sensor nodes are broadcasted in a certain area, locating their position posses a challenge to us. This paper discusses various ways to find the internode distances by measuring communicational parameters like RSS, AoA, ToA etc. These parametric measurements finally lead to the plotting of network. While dealing with the topological challenges the limitations of all the deterministic and probabilistic methods are discussed here. Finally the suitability of various techniques in different WSN applications is presented.

Keywords

Wireless Sensor Networks, Localization, Spatio Temporal Distribution
Subscription Login to verify subscription
User
Notifications
Font Size


  • K. Dogancay and H. Hmam, “Optimal angular sensor separation for aoa localization,” Signal Processing, vol. 88, pp. 1248–1260, 8 2008.
  • G. Mao, B. Fidan, and B. O. Anderson, “Wireless sensor network localization techniques,” Computer Networks: The International Journal of Computer and Telecommunications Networking, vol. 10, pp. 2529–2553, 2007.
  • Mao, B. Fidan, and B. D. O. Anderson, “Wireless sensor network localization techniques,” Computer Networks: The International Journal of Computer and Telecommunications Networking, vol. 51, no. 10, pp.2529–2553, July 2007.
  • Youssef and A. Agrawala, “The horus location determination system,”Wireless Networks, vol. 14, no. 3, pp. 357–374, 2008.
  • M. Tao and K. N. Lau, “Location determination and location tracking in wireless networks,” US patent US7359718, April 2004.
  • Martin-Escalona and F. Barcelo-Arroyo, “A New Time-Based Algorithmfor Positioning Mobile Terminals in Wireless Networks,”EURASIP Journal on Advances in Signal Processing, vol. 2008, p. 10, 2008.
  • R. Yamasaki, A. Ogino, T. Tamaki, T. Uta, N. Matsuzawa, and T. Kato, “TDOA location system for IEEE 802.11b WLAN,” in Proc. IEEE Wireless Communications and Networking Conference, vol. 4, 2005, pp. 2338–2343 Vol. 4.
  • P. Loschmidt, G. Gaderer, and T. Sauter, “Location based Services for IEEE 802.11a/b/g Nodes,” in Proceedings of the 6th Intl Workshop on Real-Time Networks RTN2007, Pisa / Italy, July 2007, pp. 64–70.
  • N. Bulusu, J. Heidemann, and D. Estrin. GPS-less low cost outdoor localization for very small devices. In IEEE Personal Communications Magazine, 7(5):28-34, October 2000.
  • P. Bahl and V. N. Padmanabhan. RADAR: An In-Building RF-Based User Location and Tracking System. In Proceedings of the IEEE INFOCOM ’00, March 2000.
  • L. Lazos and R. Poovendran. HiRLoc: High-Resolution Robust Localization for Wireless Sensor Networks. IEEE Journal on Selected Areas in Communications, VOL. 24, NO. 2, February 2006.
  • Mayuresh M. Patil, Umesh Shaha, U. B. Desai, S. N. Merchant, Localization in Wireless Sensor Networks using Three Masters IEEE Journal 2005
  • Yingpei Zeng† Jiannong Cao‡, Jue Hong† Li Xie† Secure Localization and Location Verification inWireless Sensor Networks IEEE Journal 2009
  • Nissanka B. Priyantha, Hari Balakrishnan, Erik D. Demaine, Seth Teller, Mobile- Assisted Localization in Wireless Sensor Networks
  • T. He, C. Huang, B. Blum, J. Stankovic, and T. Abdelzaher, ”Rangefree localization schemes in large scale sensor networks,” in Proc. ACM/IEEE 9th Annu. Int. Conf. Mobile Computing and Networking (MobiCom’03), 2003.

Abstract Views: 622

PDF Views: 2




  • Analytical Survey of Localisation Strategies in Wireless Sensor Networks and their Applicability in WSN Applications

Abstract Views: 622  |  PDF Views: 2

Authors

Abstract


The use of state of art wireless sensor networks in various day to day problems require spatio-temporal distribution of sensed data to get the clear vision of the data and its pattern. As large no of sensor nodes are broadcasted in a certain area, locating their position posses a challenge to us. This paper discusses various ways to find the internode distances by measuring communicational parameters like RSS, AoA, ToA etc. These parametric measurements finally lead to the plotting of network. While dealing with the topological challenges the limitations of all the deterministic and probabilistic methods are discussed here. Finally the suitability of various techniques in different WSN applications is presented.

Keywords


Wireless Sensor Networks, Localization, Spatio Temporal Distribution

References