IEEE Sensors Journal · 2010 · 268 citations · 17 references
EngineeringEnvironmental EngineeringOcean EngineeringEnvironmental MonitoringInternet Of ThingsOcean InstrumentationEnvironmental Sensor NetworksMarine Monitoring SystemsSensor NetworksTropical Cyclone MonitoringWireless Sensor NetworksAd Hoc NetworkingEnergy HarvestingEnergy Harvesting SystemsSensingSensor NodesStar TopologiesUnderwater Sensor NetworksUnderwater Wireless Sensor Networks
The authors propose a wireless sensor network framework that harvests solar energy, is robust to many perturbations, and adapts in real time to network topology changes. The system uses clustered star‑topology nodes that sense, locally transmit to a gateway, which then forwards data to a control center, stores it in a database, and visualizes it in real time, with hardware and software chosen or designed for high quality of service, optimal solar harvesting, storage, and energy awareness. Deploying the framework in Queensland, Australia, the authors monitored underwater luminosity and temperature to assess coral reef health and demonstrated that the data can also provide quantitative indicators of cyclone formation in tropical regions.
The paper proposes an environmental monitoring framework based on a wireless sensor network technology characterized by energy harvesting, robustness with respect to a large class of perturbations and real-time adaptation to the network topology. The fully designed and developed ad hoc system, based on clusters relying on a star topology, encompasses a sensing activity, a one-step local transmission from sensor nodes to the gateway, a remote data transmission from the gateway to the control center, data storage in a DB and real-time visualization. Hw and Sw modules have been either carefully selected or designed to guarantee a high quality of service, optimal solar energy harvesting, storage and energy awareness. A monitoring system integrating the outlined framework has been deployed in Queensland, Australia, for monitoring the underwater luminosity and temperature, information necessary to derive the health status of the coralline barrier. At the same time, acquired data can be used to provide quantitative indications related to cyclone formations in tropical areas.
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Computing, Computer Systems, Ecology +17
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