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Energy is a sparse and valuable resource in Wireless Sensor Networks (WSNs). Using it efficiently and effectively can mean longer node and network lifetimes with less reliance and strain on energy harvesting components. In this work we focus on optimizing energy consumption in WSNs at the network layer. A gradient based routing protocol is proposed, that integrates a Reinforcement Learning (RL) component...
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