American Journal of Mobile Systems, Applications and Services
Articles Information
American Journal of Mobile Systems, Applications and Services, Vol.1, No.2, Oct. 2015, Pub. Date: Jul. 25, 2015
Average Localization Accuracy in Mobile Wireless Sensor Networks
Pages: 77-81 Views: 3959 Downloads: 1219
Authors
[01] Preeti Singh, Department of Electronics and Communication Engineering, Indo Global College of Engineering, Abhipur (Mohali) Punjab, India.
[02] Hardeep Singh Saini, Department of Electronics and Communication Engineering, Indo Global College of Engineering, Abhipur (Mohali) Punjab, India.
Abstract
In this paper an augmented event triggered algorithm based on IR (infra red) and RSSI (received signal strength indicator) techniques has been proposed for a wireless sensor network. It is a distributed and low cost localization algorithm with extremely high precision and accuracy. The proposed localization algorithm has better performance as depicted by simulations. Also the results based on RF (radio frequency) localization with proposed technique on the basis of average localization error have been compared. With enhancement in average speed with respect to number of anchor nodes, average localization error is reduced for proposed techniques comparative to the RF techniques.
Keywords
Average Localization, Infrared, Radio Frequency, Sensor Nodes, Wireless Sensor Networks
References
[01] P. Singh and H.S. Saini, “Event triggered distributed localization algorithm with IR in wireless mobile sensor networks (MWSN)”, International journal of review in electronics and communication engineering (IJRECE), Vol. 1, No.3, pp. 81-86, 2013.
[02] P. Zhang andM. Martonosi, “Locale: Collaborative localization estimation for sparse mobile sensor networks”, 7thInternational conference on information processing in sensor networks, IPSN 08, St. Louis, MO (IEEE Computer Society, Los Alamitos) pp. 195, April 2008.
[03] S. Tilak, V. Kolar, B. Abughazaleh, and K. Kang, “Dynamic localization protocol for mobile sensor networks”, Computer Science- Networking and Internet Architecture, Cornell University Library, CS-TR-04-NA02, 2004.
[04] X. Chen, P. Han, Q. He, and S. Tu, “A viable localization scheme for dynamic wireless sensor networks”, International Muti-Sysposiums on Computer and Computational Sciences, Hanzhou, Zhejiang, China (IEEE Computer Society, Los Alamitos) Vol. 2, pp.587, June 2006.
[05] B. Zhang and F. Yu, “An event triggered localization algorithm for mobile wireless sensor networks”, 2nd International conference on future computer and communication, Wuhan, (IEEE), Vol. 1, pp. V1 250, May 2010.
[06] K. Langendoen and N. Reijers, “Distributed localization in wireless networks: A quantitative comparison”, Journal Computer Networks: International Journal of Computer and Telecommunications Networking Special issue: Wireless sensor networks, (Elsevier North-Holland, Inc. New York, NY, USA) Vol.43 (4), pp.499, Nov. 2003.
[07] J. Hightower and G. Borriello, “Location system in adhoc networks”, in Computer (IEEE Computer Society Los Alamitos) Vol. 34, No. 8, pp. 57-66, 2001.
[08] B. Azzedine, A. Oliveira, F. Nakamura, and A. Loureiro, “Localization systems for wireless sensor networks”, Wireless Communications (IEEE Communication Society) Vol. 14, No. 6, pp. 6-12, 2007.
[09] J. Caffery, J. Heidemann, and D. Estrin, “GPS-less low cost outdoor localization for very small devices”, Personal Communications (IEEE Communication Society) Vol.7, No.5,pp.28-34,2000.
[10] B. Priyantha, C. Anit, and B. Hari, “The cricket location support system”, Proceeding of 6th annual international conference on mobile computing and networking, Boston, MA USA (ACM New York, NY, USA), pp.32, August 2000.
[11] D. Niculescu and B. Nath, “DV based positioning in adhoc networks”, Telecommunication systems (Springer- Kluwer Academic Publisher, Netherland) Vol.22 (1-4), pp. 267, 2003.
[12] K.F. Su, 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 2005.
[13] G. Yu, F. Yu, and L. Feng, “A three dimensional localization algorithm using a mobile anchor node under wireless channel”, IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence), Hong Kong, pp.477, June 2008.
[14] B. Zhang and F. Yu, “An energy efficient localization algorithm for wireless sensor networks using a mobile anchor node”, International conference on information and automation (ICIA), Changsha (IEEE), pp. 215-219, June 2008.
[15] B. Zhang andF. Yu, “A high energy efficient localization algorithm for wireless sensor networks using directional antenna”, 11th IEEE International conference on high performance computing and communications, Seol, pp. 230, June 2009.
[16] N. Swangmuang andP. Krishnamurthy, “An effective location fingerprint model for wireless indoor localization”, Pervasive and Mobile Computing (Elsevier), Vol. 4, No. 6, pp. 836-850, 2008.
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