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Title	Energy-Effcient Reinforcement Learning In Wireless Sensor Networks Using 5G For Smart Cities
ID_Doc	23443
Authors	Pramod M.S.; Balodi A.; Pratik A.; Satya Sankalp G.; Varshita B.; Amrit R.
Year	2023
Published	Applications of 5G and Beyond in Smart Cities
DOI	http://dx.doi.org/10.1201/9781003227861-4
Abstract	A smart city is an integration of various electronic devices to collect data across a city. This allows interaction with city infrastructure such as traffic lights and buildings, which can be used to optimize the efficiency of city operations. With the advancement in 5G technology making this possible, many cities across the world have begun to develop smart city infrastructure. Such an infrastructure requires a large number of wireless sensor networks (WSN) for collecting various data to be processed. These networks can be deployed for measuring inter-city parameters such as temperature, traffic and humidity. Maintaining energy efficiency in such a setup is a primary challenge that has to be taken into consideration. These networks perform various tasks such as transmission, reception, and data collection multiple times, which drain their energy; thus an efficient way of managing this is required. This research looks at integrating artificial intelligence (AI) to self-schedule the network tasks and make use of a three-layer structure distribution of the sensor networks to optimize the consumption of energy. © 2023 selection and editorial matter, Ambar Bajpai and Arun Balodi; individual chapters, the contributors.
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