Lessons learned deploying an oyster farm monitoring auto-sustainable wireless sensor network and trial of a temperature and relative humidity–based transmission power control scheme

César Ortega-Corral, José Jaime Esqueda Elizondo, Oscar Ricardo Acosta Del Campo, Luis E Palafox, Leocundo Aguilar, Ricardo Guerra-Frausto, Florencio López Cruz, Roberto A Reyes, Jesús Enrique López-Montoya and Carlos Chávez

International Journal of Distributed Sensor Networks, 2017, vol. 13, issue 3, 1550147717697322

Abstract: We present challenges faced deploying a solar-powered wireless sensor network base station and nodes, at a remote oyster farm. It involved installing the base station system and a data server at the shore of a shallow bay, where there is no electrical power available. To solve the problem, we set up a photovoltaic array with an energy monitoring node, from which performance metrics were recorded and plotted. At the water, we deployed two wireless sensor nodes on a raft, a kilometre away from the base station. One node was configured for sea water pH and water temperature ( T w ) measurements. The other node was configured for salinity and T w measurements. Furthermore, both nodes measured air temperature and relative humidity, for a more complete characterization. At the salinity node, temperature and relative humidity knowledge was crucial to determine a gain factor for doing a trial of a transmission power control scheme, using a novel temperature and relative humidity algorithm. To enable a fair comparison, the pH nodes transmitter was configured with a fixed power level. The nodes performances were measured locally at the base station, recording metrics such as received signal strength indicator and packet received rates.

Keywords: Wireless sensor networks; transmission power control; renewable energy; ubiquitous computing; remote monitoring (search for similar items in EconPapers)
Date: 2017
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Persistent link: https://EconPapers.repec.org/RePEc:sae:intdis:v:13:y:2017:i:3:p:1550147717697322

DOI: 10.1177/1550147717697322

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