Abstract
Next-generation networks are witnessing a convergence of wired and wireless technologies towards a ubiquitous computing paradigm. Wireless Sensor Networks are leading this revolution, but their deployment is delayed mainly because of energy constraints. Sensor nodes are typically equipped with non-rechargeable batteries, thus energy consumption must be minimized. In this paper, an energy-efficient communication protocol, compliant with the ZigBee standard, is proposed and validated. In particular, a new algorithm is discussed that efficiently tunes the duty cycle of a node, i.e., the cycling between an awake and a sleep state of the radio transceiver. After a preliminary communication, each node knows the transmission times of its neighbors and thus when it can switch its radio off since it is not going to receive any message. The solution is robust and has low processing and storage capacity requirements. Simulation results have demonstrated substantial improvements in power consumption compared to the ZigBee standard.
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Anchora, L., Capone, A., Patrono, L. (2011). An Asynchronous Scheduler to Minimize Energy Consumption in Wireless Sensor Networks. In: Balandin, S., Koucheryavy, Y., Hu, H. (eds) Smart Spaces and Next Generation Wired/Wireless Networking. ruSMART NEW2AN 2011 2011. Lecture Notes in Computer Science, vol 6869. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22875-9_24
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DOI: https://doi.org/10.1007/978-3-642-22875-9_24
Publisher Name: Springer, Berlin, Heidelberg
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