Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Reddy, R. Archana; Adnan, Myasar Mundher; Paramesh, S.P.; Petli, Vishwanath; Manohar, M. Title A name given to the resource Multi-objective Deep Reinforcement Learning Approach for Multiple -Input/Multiple-output Routing in WSN Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived Lecture Notes in Electrical Engineering;Volume;1270;pp.127-137 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-981-97-7876-8_12" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-97-7876-8_12</a> <br /><br /><a href="https://www.scopus.com/pages/publications/85218941732?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/85218941732?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Reddy R.A., School of Computer Science and Artificial Intelligence, SR University, Telangana, Warangal, India; Adnan M.M., The Islamic University, Najaf, Iraq; Paramesh S.P., Department of Computer Science and Engineering, School of Engineering, Central University of Karnataka, Karnataka, Kalaburagi, India; Petli V., Electronics and Communication Engineering, H.K.E. Societys Sir M. Visvesvaraya College of Engineering, Raichur, India; Manohar M., Department of Computer Science and Engineering, CHRIST (Deemed to Be University), Bangalore, India Description An account of the resource The Wireless Sensor Network (WSN) is a network of numerous devices that are interconnected via the internet and significantly impact the network. However, despite their significant applications WSNs face challenges related to network security energy levels and information transmission delays. To address these challenges, a method utilizing Multi-Objective Deep Reinforcement Learning (DRL) has been proposed. The proposed method aims to maximize energy utilization in the network by efficiently managing covered and uncovered cluster network routing. The performance of energy transmission is enhanced through the use of the Markov Decision Process model based on multi-objective DRL combined with training the network using Deep Q Network (DQN) to reduce network energy consumption. Training the network with multiple objectives may pose challenges requiring more samples and leading to higher sample complexity, which can be a limiting factor in real-world applications. Despite this, the proposed multi-objective DRL method demonstrates high performance compared to existing methods such as Particle Swarm Optimization (PSO) and Convolutional Neural Network (CNN). Specifically, multi-Objective DRL method yields superior results, achieving an energy consumption of 42J, Packet Delivery Ratio (PDR) of 90%, and an End-To-End Delay (ETED) of 45 S. These outcomes outperform existing methods in the context of WSNs. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025. Subject The topic of the resource Artificial neural network; Deep Q network; Multi-objective deep reinforcement learning; Particle swarm optimization and wireless sensor network Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH Relation A related resource ISSN: 18761100; ISBN: 978-981977875-1; Language A language of the resource English Type The nature or genre of the resource Conference paper Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online