Sensors 2014, 14(3), 4211-4224; doi:10.3390/s140304211
Article

Anchor Node Localization for Wireless Sensor Networks Using Video and Compass Information Fusion

1email and 2,* email
Received: 11 January 2014; in revised form: 17 February 2014 / Accepted: 19 February 2014 / Published: 3 March 2014
(This article belongs to the Section Sensor Networks)
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract: Distributed sensing, computing and communication capabilities of wireless sensor networks require, in most situations, an efficient node localization procedure. In the case of random deployments in harsh or hostile environments, a general localization process within global coordinates is based on a set of anchor nodes able to determine their own position using GPS receivers. In this paper we propose another anchor node localization technique that can be used when GPS devices cannot accomplish their mission or are considered to be too expensive. This novel technique is based on the fusion of video and compass data acquired by the anchor nodes and is especially suitable for video- or multimedia-based wireless sensor networks. For these types of wireless networks the presence of video cameras is intrinsic, while the presence of digital compasses is also required for identifying the cameras’ orientations.
Keywords: wireless sensor network; anchor node; localization; magnetometer; video camera; triangulation
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MDPI and ACS Style

Pescaru, D.; Curiac, D.-I. Anchor Node Localization for Wireless Sensor Networks Using Video and Compass Information Fusion. Sensors 2014, 14, 4211-4224.

AMA Style

Pescaru D, Curiac D-I. Anchor Node Localization for Wireless Sensor Networks Using Video and Compass Information Fusion. Sensors. 2014; 14(3):4211-4224.

Chicago/Turabian Style

Pescaru, Dan; Curiac, Daniel-Ioan. 2014. "Anchor Node Localization for Wireless Sensor Networks Using Video and Compass Information Fusion." Sensors 14, no. 3: 4211-4224.

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