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The Hybrid Technique for Improvement DV-Hop Localization Algorithms

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The current sensor node localization algorithm consists of two types: range-based and range-free. Received Signal Strength (RSS) (range-based) and DV-Hop (range-free), are two different schemes that each have environment or hop dependency problems and have been combined and studied in several works. Although location accuracy has been improved, the degree can be more enhanced. In this paper we propose a modification hop count DV-hop calculation method using the RSSI Attenuation Model. This new method provides significant improvements in localization accuracy compared with previous algorithms. A comparative study of different improvement and hybrids DV-Hop algorithms is carried out and different results are obtained.
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WSN; Localization; DV-Hop Algorithm; RSSI Attenuation Model

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I.F. Akyildiz, W. Su, Y. Sankarasubramaniam, E. Cayirci, Wireless sensornetworks: a survey, Comput. Netw. 38 (4) (2002) 393–422.

M. Sousa, W. Lopes, F. Madeiro, M. Alencar, Cognitive LF-Ant: a novel protocolfor healthcare wireless sensor networks, Sensors 12 (8) (2012) 10463–10486.

Pratyay Kuila, Prasanta K. Jana :’ A novel differential evolution based clustering algorithm for wirelesssensor networks, Applied Soft Computing 25 (2014) 414–425.

X. Zhang, S. Zhou, and L. Chen,Wireless Sensor Network Technology and Its Military Application, National Defence Industry Press, 2010.

H. Sassi, T. Najeh, N. Liouane, “A Selective 3-Anchor DV-Hop Algorithm Based On the nearest anchor for wireless sensor network,” International Journal of Computer, Information, Systems and Control Engineering Vol: 8 No: 10, 2014.

Wang Zhi Ping and Chen Xuan,”nodes localization of wireless sensors networks based on DV-Hop and Steffensen iterative method” International Journal of Future Generation Communication and Networking Vol. 8, No. 2 (2015), pp. 1-8

W. Wang, V. Srinivasan, B. Wang and K Chua, “Coverage for target localization in wireless sensor networks”, IEEE Transactions on Wireless Communications, vol. 7, no. 2, (2008), pp. 667-676.

J. WeiWei and L. Zhong, “Study on the Application of DV-Hop Localization Algorithms to Random Sensor Networks”, Journal of Electronics & Information Technology, vol. 30, no. 4, (2008) pp. 970-974.

J. Wang, J. Q. Fu. “Research on APIT and Monte Carlo Method of Localization Algorithm for Wireless Sensor Networks,”International Conference on Intelligent Computing for Sustainable Energy and Environment, vol.6329, pp.128-137, Wuxi, 2010.

Y. Yu, C. Jiang, X. Zhao, L. Yun, Z. Li, Y. Ren. “Sequence-based localization algorithm with improved correlation metric and dynamic centroid,” Science China Information Sciences, vol.54, pp .2349- 2358, November 2011.

X. Xie and L. Cheng, “Localization algorithm for wireless sensor networks based on mobile anchor dynamic selection,” Transducer andMicrosystemTechnologies, vol. 30, no. 1, pp. 123–130, 2011.

B. Jing, J. Zhan, and Y. Sun, Intelligent Network Sensor andWireless Sensor Networks, National Defence Industry Press, 2011.

L. Liu, Y. Wei, and G. Xiu, “An Adaptive Hybrid Localization Algorithm for Wireless Sensor Network,” in 2012 Second International Conference on Instrumentation, Measurement, Computer, Communication and Control (IMCCC), pp. 1579–1582.

J. Zhao and H. Jia, “A hybrid localization algorithm based on DV-Distance and the twice-weighted centroid for WSN,” in 2010 3rd IEEE International Conference on Computer Science and Information Technology (ICCSIT), 2010, vol. 7, pp. 590–594.

M. Botta, M. Simek, “Adaptive Distance Estimation Based on RSSI In 802.15.4 network”, Dec. 2013, Radioengineering, Vol. 22, No. 4.

H. Sassi, T. Najeh, N. Liouane” Optimized DV-Hop localization algorithm using XOR operator” International Journal of Applied Engineering Research ISSN 0973-4562 Volume 10, Number 21 (2015) pp 41930-41934

Niculescu D, Nath B. DV based positioning in ad hoc networks . Telecommunication Systems, 2003, 22(1-4): 267-280.

Xia Chen, Benliang Zhang.”Improved DV-Hop Node localization Algorithm in wireless Sensors Networks” International Journal of Distributed sensor Networks Vol.2012, Article ID 213980, 7 pages.

W. Huarui Z. Chunjiang Z. Li “Attenuation Model of Wireless Sensor Network for Large-Scale Farmland Environment”, Feb 2013, Telkomnika, Vol.11, No.2.

Linqing GUI, These “Improvement of Range-free Localization Systems in Wireless Sensor Networks” Fev. 2013, National Institute of Applied Sciences of Toulouse (INSA Toulouse).

Mohammed, O., Hussin, B., Hasan Basari, A., Energy-Efficient Data Reporting Strategy (EDRS) for Multilayer Clustering WSN, (2015) International Review on Computers and Software (IRECOS), 10 (5), pp. 458-466.

Mubarak, T., Appa Rao, G., Sattar, S., Sajitha, M., Efficient Intrusion Detection Ensuring Connectivity in 2D and 3D WSN, (2014) International Review on Computers and Software (IRECOS), 9 (2), pp. 219-229.

Mesmoudi, A., Feham, M., Labraoui, N., Bekara, C., An Efficient Area-Based Localization Algorithm for Wireless Sensor Networks, (2015) International Review on Computers and Software (IRECOS), 10 (10), pp. 1062-1070.

Geetha, R., Kannan, E., Secure Communication Against Framing Attack in Wireless Sensor Network, (2015) International Review on Computers and Software (IRECOS), 10 (4), pp. 393-398.


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