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Using Direction of Arrival to Estimate Obstacle Areas in Cognitive Sensor Environments

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Abstract

We propose a mechanism to form hole-like shapes with each of several sensor nodes equipped with a directional antenna called CS-DOA. In the system, we use an adaptive beamformer that can receive useful signals and adjust receiving angles through direction-of-arrival (DOA) estimations. We analyze single sources and links with sensor nodes to form a path around a given hole’s margins. This work’s proposed mechanism uses different receiving angles to detect a single source, and through the source message, we can detect and determine the given hole’s margins. We use cognitive radio to estimate the energy of sensor nodes. We also propose energy consumption control via a game scheme to prolong sensor nodes’ lifetime. This innovative mechanism increases performance and convenience, and improves our ability to make rigorous calculations regarding environmental topography.

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Authors and Affiliations

  1. Department of Computer Science and Information Engineering, National Cheng Kung University, Tainan, Taiwan

    Sheng-Tzong Cheng, Gwo-Jiun Horng & Chi-Hsuan Wang

Authors
  1. Sheng-Tzong Cheng
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  2. Gwo-Jiun Horng
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  3. Chi-Hsuan Wang
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Correspondence to Gwo-Jiun Horng.

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Cheng, ST., Horng, GJ. & Wang, CH. Using Direction of Arrival to Estimate Obstacle Areas in Cognitive Sensor Environments. Wireless Pers Commun 69, 269–284 (2013). https://doi.org/10.1007/s11277-012-0572-z

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  • DOI: https://doi.org/10.1007/s11277-012-0572-z

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