Algorithms and applications for low power wireless sensor networks using wake-up receivers
Dissertation, Albert-Ludwigs-Universität Freiburg, 2016
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Sprache: | eng |
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Freiburg
Universität
2016
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Schriftenreihe: | Wireless sensor systems
6 |
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Zusammenfassung: | Dissertation, Albert-Ludwigs-Universität Freiburg, 2016 Abstract: Energy is the driving problem of wireless sensor networks (WSNs). Usually, sensor nodes operate for a long period of time and the only source of power supply is battery cells. The difficulty of accessing and exchanging the batteries leads to a desire for maintenance-free sensor nodes. The functionality of WSNs can be extended through the use of low power microprocessors, sensors and radio transceivers. The availability of low power hardware components provides a technological break-through for wake-up receivers. These receivers interact only when a special wake-up signal addresses them. When a wake-up signal is received, the wake-up receiver triggers the sensor node to activate its radio transceiver. Each sensor node has the capability of transmitting a wake-up signal to a near-by sensor node. Data communication occurs only when the node switches on its transceiver. During this time, the rest of the nodes remain in a sleep state to sustain their energy supply. Here, the nodes avoid overhearing the exchange of data packets which are not intended to them. On the contrary, the duty cycle process of waking up periodically to check the medium for messages or synchronizing with other sensor nodes is not necessary. This raises the hope that duty-cycling might soon be replaced by the wake-up receivers. Nevertheless, the wake-up receivers have to resolve several challenges to be able to participate efficiently in sensor networks. The high energy demand of wake-up signals and the short wake-up coverage ranges compared to data communication diminish the capabilities of sensor nodes. Therefore, in this work new wake-up algorithms are developed to address the shortcoming in the technology to overcome the challenges imposed on the networks through empowering the nodes with the ability to identify efficient ways to manage their energy resources. Still, these shortcomings have a direct effect on the ability of the network to maintain its connectivity. In gener |
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Beschreibung: | IN COPYRIGHT http://rightsstatements.org/page/InC/1.0 rs |
Beschreibung: | XII, 113 Seiten Illustrationen |
Format: | Langzeitarchivierung gewährleistet, LZA |