New software allows wireless sensor networks to run at much lower energy, according to researchers writing in the International Journal of Sensor Networks. The technology could improve efficiency for hurricane and other natural disaster warning systems.
Wireless sensor networks (WSNs) are used to monitor ecosystems, wild and urban environments. They have been vital in predicting events that threaten species and environments, including gathering information from animal habitats, in volcanic activity monitoring, flash-flood alerts and environmental monitoring. Wireless sensing in densely populated urban communities can be invaluable not only in monitoring the physical environment, but also for focusing on the impact people and their vehicles have on that environment through mobile emissions monitoring. Such sensing allows consideration to be given to such factors in planning for sustainable development. Unfortunately, the benefits of WSNs come at a price – they require energy.
Computer scientist Patricia Morreale of Kean University in Union, New Jersey and colleagues Feng Qi and Paul Croft of Kean’s School of Environmental and Life Sciences, explain how a mesh network of wireless sensors reports data to a central site for environmental monitoring and risk identification. They have developed such a system that reduces the energy requirements compared to conventional WSNs.
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