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Sensors 2017, 17(10), 2179; https://doi.org/10.3390/s17102179

A Low Power Consumption Algorithm for Efficient Energy Consumption in ZigBee Motes

Intelligent Systems Group, Computer Engineering Department, Universidad de Alcalá, 28805 Alcalá de Henares, Spain
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Received: 19 August 2017 / Revised: 18 September 2017 / Accepted: 20 September 2017 / Published: 22 September 2017
(This article belongs to the Special Issue Energy Harvesting Sensors for Long Term Applications in the IoT Era)
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Abstract

Wireless Sensor Networks (WSNs) are becoming increasingly popular since they can gather information from different locations without wires. This advantage is exploited in applications such as robotic systems, telecare, domotic or smart cities, among others. To gain independence from the electricity grid, WSNs devices are equipped with batteries, therefore their operational time is determined by the time that the batteries can power on the device. As a consequence, engineers must consider low energy consumption as a critical objective to design WSNs. Several approaches can be taken to make efficient use of energy in WSNs, for instance low-duty-cycling sensor networks (LDC-WSN). Based on the LDC-WSNs, we present LOKA, a LOw power Konsumption Algorithm to minimize WSNs energy consumption using different power modes in a sensor mote. The contribution of the work is a novel algorithm called LOKA that implements two duty-cycling mechanisms using the end-device of the ZigBee protocol (of the Application Support Sublayer) and an external microcontroller (Cortex M0+) in order to minimize the energy consumption of a delay tolerant networking. Experiments show that using LOKA, the energy required by the sensor device is reduced to half with respect to the same sensor device without using LOKA. View Full-Text
Keywords: WSN; duty-cycling; ZigBee; battery maximizing; data collection WSN; duty-cycling; ZigBee; battery maximizing; data collection
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Vaquerizo-Hdez, D.; Muñoz, P.; R-Moreno, M.D.; F. Barrero, D. A Low Power Consumption Algorithm for Efficient Energy Consumption in ZigBee Motes. Sensors 2017, 17, 2179.

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