Reliable and Energy Efficient Data Dissemination in Sensor Networks - Ahmed, Suhaib;Gutpa, Swastik;Suri, Ashish
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India faces landslides every year with a large threat to human life causing annual loss of US $400 million. The main goal of this effort is to detect rainfall induced landslides which occur commonly in India. In WSN to reduce energy consumption of sensor nodes clustering is generally used. The clustering besides reducing energy consumption also helps in achieving efficient and scalable control. In case of crisis situations, automatic action in the target area is required. Effective decision making especially in a crisis situation largely depends upon immediate access and interpretation of…mehr

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Produktbeschreibung
India faces landslides every year with a large threat to human life causing annual loss of US $400 million. The main goal of this effort is to detect rainfall induced landslides which occur commonly in India. In WSN to reduce energy consumption of sensor nodes clustering is generally used. The clustering besides reducing energy consumption also helps in achieving efficient and scalable control. In case of crisis situations, automatic action in the target area is required. Effective decision making especially in a crisis situation largely depends upon immediate access and interpretation of local information within the context of the overall environment at any particular point of time. Ensuring data availability is therefore very important in these situations. Thus, a proper data dissemination strategy which is both energy efficient and reliable is devised in this book for landslide monitoring which will be used for early warning of landslides so that huge loss to human life and property can be prevented.
Autorenporträt
Author's are affiliated with Department of Electronics and Communication Engineering, Shri Mata Vaishno Devi University, Katra, 182320, India. Their research interests include application of wireless sensor networks in healthcare and environmental monitoring, signal processing and leveraging Internet of Things.