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One Anchor Distance and Angle Based Multi - Hop Adaptive Iterative Localization Algorithm for Wireless Sensor Networks

One Anchor Distance and Angle Based Multi - Hop Adaptive Iterative Localization Algorithm for Wireless Sensor Networks

S. B. Kotwal, Shekhar Verma, G. S. Tomar, R. K. Abrol, Suryansh Nigam
Copyright: © 2010 |Volume: 2 |Issue: 3 |Pages: 13
ISSN: 1938-0259|EISSN: 1938-0267|EISBN13: 9781609609368|DOI: 10.4018/jghpc.2010070103
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MLA

Kotwal, S. B., et al. "One Anchor Distance and Angle Based Multi - Hop Adaptive Iterative Localization Algorithm for Wireless Sensor Networks." IJGHPC vol.2, no.3 2010: pp.31-43. http://doi.org/10.4018/jghpc.2010070103

APA

Kotwal, S. B., Verma, S., Tomar, G. S., Abrol, R. K., & Nigam, S. (2010). One Anchor Distance and Angle Based Multi - Hop Adaptive Iterative Localization Algorithm for Wireless Sensor Networks. International Journal of Grid and High Performance Computing (IJGHPC), 2(3), 31-43. http://doi.org/10.4018/jghpc.2010070103

Chicago

Kotwal, S. B., et al. "One Anchor Distance and Angle Based Multi - Hop Adaptive Iterative Localization Algorithm for Wireless Sensor Networks," International Journal of Grid and High Performance Computing (IJGHPC) 2, no.3: 31-43. http://doi.org/10.4018/jghpc.2010070103

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Abstract

This paper presents distance and angle measurements based Multi-Hop Adaptive and Iterative Localization algorithm for localization of unknown nodes in wireless sensor networks (WSNs). The present work determines uncertainty region of unknown nodes with respect to known (anchor) nodes using noisy distance and angle measurements. This node transmits its uncertainty region to other unknown nodes to help them determine their uncertainty region. Because of noisy distance and angle measurements, the error propagation increases the size of regions of nodes in subsequent hops. Using only one anchor node as reference, the proposed iterative localization algorithm reduces the error propagation of this noisy distance and angle measurements and the uncertainty region of all unknown nodes within a given communication range. The results clearly indicate the improved efficiency of the proposed algorithm in comparison with existing algorithms.

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