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

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) est...

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Bibliographic Details
Published inWireless personal communications Vol. 83; no. 2; pp. 1531 - 1547
Main Author Horng, Gwo-Jiun
Format Journal Article
LanguageEnglish
Published New York Springer US 01.07.2015
Subjects
Communications Engineering
Computer Communication Networks
Engineering
Networks
Signal,Image and Speech Processing
CA
CACR-DOA
Game scheme
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Summary: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.
ISSN:0929-6212
1572-834X
DOI:10.1007/s11277-015-2462-7