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Abstract
A node in a solar-powered wireless sensor network (WSN) collects energy when the sun shines and stores it in a battery or capacitor for use when no solar power is available, in particular at night. In our scheme, each tiny node in a WSN periodically determines its energy budget, which takes into account its residual energy, and its likely acquisition and consumption. If it expects to acquire more energy than it can store, the data which has it has sensed is aggregated with data from other nodes, compressed, and transmitted. Otherwise, the node continues to sense data, but turns off its wireless communication to reduce energy consumption. We compared several schemes by simulation. Our scheme reduced the number of nodes forced to black out due to lack of energy so that more data arrives at the sink node.
Highlights
Sensor networks are used to obtain environmental information such as temperature, humidity, and pressure
They can not be applied in the case that all of the data should be collected because they have to discard redundant data to reduce the amount of data transmitted. They are not appropriate for solar-powered nodes because they are designed to minimize energy consumption in battery-powered wireless sensor network (WSN). We address these issues with an adaptive data aggregation and compression schemes for solar-powered WSNs, in which all data should be transmitted to the sink node
Data aggregation has been shown to be effective in reducing energy consumption in WSNs [17]
Summary
Sensor networks are used to obtain environmental information such as temperature, humidity, and pressure. They can not be applied in the case that all of the data should be collected because they have to discard redundant data to reduce the amount of data transmitted They are not appropriate for solar-powered nodes because they are designed to minimize energy consumption in battery-powered WSNs. In this paper, we address these issues with an adaptive data aggregation and compression schemes for solar-powered WSNs, in which all data should be transmitted to the sink node. If it expects to exhaust its energy during the subsequent period, it enters sleep mode, turns off its wireless module, and continues sensing only This increases the amount of data collected by reducing the number of nodes that black out.
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