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Bringing Intelligence to Wireless Sensor Nodes: Improving Energy Efficiency and Communication Reliability in Sensor Nodes

Todorovic, D.Q. (2022) Bringing Intelligence to Wireless Sensor Nodes: Improving Energy Efficiency and Communication Reliability in Sensor Nodes.

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Abstract:Wireless Sensor Networks (WSN) are becoming more dense to enable many new smarter use cases in industry, healthcare and agriculture. WiFi-based wireless sensor networks are becoming very attractive because of high-bandwidth, large coverage and low-powered sensors being cost-effective. Even though WiFi offers low power consumption, resources are still limited in wireless sensor networks and the identification of how to efficiently use the energy of a wireless sensor node has been an open research topic for years. In this paper a lightweight distributed reinforcement learning framework for wireless sensor networks is presented. This framework allows sensor nodes to control their transmit power in such a way that they still communicate reliably with minimum energy consumption which increases the network life-span.
Item Type:Essay (Bachelor)
Faculty:EEMCS: Electrical Engineering, Mathematics and Computer Science
Subject:54 computer science
Programme:Business & IT BSc (56066)
Link to this item:https://purl.utwente.nl/essays/91758
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