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Energy Harvesting Wireless Sensor Networks Leveraging Wake-up Receivers: Energy Managers and MAC Protocols

Abstract : Wireless Sensor Networks (WSNs) are made of multiple sensor devices which measure physical value (e.g. temperature, pressure. . . ) and communicate wirelessly. These networks form a key enabling technology of many Internet of Things (IoT) applications such as smart building and precision farming. The bottleneck of long-term WSN applications is typically the energy. Indeed, traditional WSNs are powered by individual batteries and a significant effort was devoted to maximizing the lifetime of these devices. However, as the batteries can only store a finite amount of energy, the network is still doomed to die, and changing the batteries is not always possible if the network is dense or if the nodes are deployed in a harsh environment. A promising solution is to enable each node to harvest energy directly in its environment, using individual energy harvesters. As most of the energy sources are dynamic and uncontrolled, avoiding power failures of the nodes is critical to enable reliable networks. Increasing the quality of service typically requires increasing the power consumption, and a simple solution is to set the quality of service of the nodes to a constant value low enough to avoid power failures. However, this solution does not fully exploits the available energy and therefore leads to high energy waste and poor quality of service regarding the available environmental energy. A more efficient solution is online adaptation of the node power consumption, which is performed by an energy manager on each node. In this thesis, two new approaches for online adaptation of the nodes energy consumption were proposed, relying on fuzzy control theory and reinforcement learning. Moreover, as communications are typically the most energy consuming task of a WSN node, emerging wake-up receivers were leveraged to reduce the energy cost of communications. A generic analytical framework for evaluating Medium Access Control (MAC) protocols was proposed, and it was combined to experiments to evaluate emerging wake-up receivers. A new opportunistic MAC protocol was also introduced for "on-the-fly" relay selection. Finally wake-up receivers and energy harvesting were combined and experimentally evaluated in a practical use case.
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Contributor : Matthieu Gautier Connect in order to contact the contributor
Submitted on : Monday, January 15, 2018 - 6:04:53 PM
Last modification on : Wednesday, November 3, 2021 - 6:05:37 AM
Long-term archiving on: : Monday, May 7, 2018 - 4:55:10 PM


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  • HAL Id : tel-01684803, version 1


Fayçal Ait Aoudia. Energy Harvesting Wireless Sensor Networks Leveraging Wake-up Receivers: Energy Managers and MAC Protocols. Networking and Internet Architecture [cs.NI]. Université de Rennes 1, 2017. English. ⟨tel-01684803⟩



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