NDLI: A New Method for Gaining the Control of Standalone Underwater Sensor Nodes Based on Power Supply Sensing

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A New Method for Gaining the Control of Standalone Underwater Sensor Nodes Based on Power Supply Sensing

Content Provider	MDPI
Author	Daniel, Rodríguez García Montiel-Nelson, Juan Bautista, Tomás Sosa, Javier
Copyright Year	2021
Description	In this paper, a new method for gaining the control of standalone underwater sensor nodes based on sensing the power supply evolution is presented. Underwater sensor networks are designed to support multiple extreme scenarios such as network disconnections. In those cases, the sensor nodes involved should go into standalone, and its wired and wireless communications should be disabled. This paper presents how to exit from the standalone status and enter into debugging mode following a practical ultra-low power design methodology. In addition, the discharge and regeneration effects are analyzed and modeled to minimize the error using the sensor node self measurements. Once the method is presented, its implementation details are discussed including other solutions like wake up wireless modules or a pin interruption solution. Its advantages and disadvantages are discussed. The method proposed is evaluated with several simulations and laboratory experiments using a real aquaculture sensor node. Finally, all the results obtained demonstrate the usefulness of our new method to gain the control of a standalone sensor node. The proposal is better than other approaches when the hibernation time is longer than 167.45 $μ$ s. Finally, our approach requires two orders of magnitude less energy than the best practical solution.
Starting Page	4660
e-ISSN	14248220
DOI	10.3390/s21144660
Journal	Sensors
Issue Number	14
Volume Number	21
Language	English
Publisher	MDPI
Publisher Date	2021-07-07
Access Restriction	Open
Subject Keyword	Sensors Hardware and Architecturee Battery Sensing Sensor Network Failure Standalone Sensor Node Underwater Sensor Node Precision Aquaculture Offshore Fish Farm
Content Type	Text
Resource Type	Article

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