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The Adaptive Direction Selection Mechanism for Estimation Obstacle Areas in Smart Sensor Environments

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Abstract

We propose a cellular automat (CA) mechanism to form hole-like shapes with each of several sensor nodes equipped with a directional antenna called CACR-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 (CR) 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, Southern Taiwan University of Science and Technology, Tainan, Taiwan

    Gwo-Jiun Horng

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  1. Gwo-Jiun Horng
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Correspondence to Gwo-Jiun Horng.

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Horng, GJ. The Adaptive Direction Selection Mechanism for Estimation Obstacle Areas in Smart Sensor Environments. Wireless Pers Commun 83, 1531–1547 (2015). https://doi.org/10.1007/s11277-015-2462-7

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  • DOI: https://doi.org/10.1007/s11277-015-2462-7

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