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Reinforcement Learning-Based Self-Healing Routing in Fault-prone Wireless Sensor Networks

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Bibliographic Details
Published in:International Journal of Computer Network and Information Security
Format: Online Article RSS Article
Published: 2026
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container_title International Journal of Computer Network and Information Security
description
discipline_display Technology & Engineering
discipline_facet Technology & Engineering
format Online Article
RSS Article
genre Journal Article
id rss_article:13049
institution FRELIP
journal_source_facet International Journal of Computer Network and Information Security
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle Reinforcement Learning-Based Self-Healing Routing in Fault-prone Wireless Sensor Networks
Computer and Cyber Security
Technology & Engineering — Computing
Technology & Engineering
sub_discipline_display Technology & Engineering — Computing
sub_discipline_facet Technology & Engineering — Computing
subject_display Computer and Cyber Security
Technology & Engineering — Computing
Technology & Engineering
Computer and Cyber Security
Technology & Engineering — Computing
Technology & Engineering
subject_facet Computer and Cyber Security
Technology & Engineering — Computing
Technology & Engineering
title Reinforcement Learning-Based Self-Healing Routing in Fault-prone Wireless Sensor Networks
title_auth Reinforcement Learning-Based Self-Healing Routing in Fault-prone Wireless Sensor Networks
title_full Reinforcement Learning-Based Self-Healing Routing in Fault-prone Wireless Sensor Networks
title_fullStr Reinforcement Learning-Based Self-Healing Routing in Fault-prone Wireless Sensor Networks
title_full_unstemmed Reinforcement Learning-Based Self-Healing Routing in Fault-prone Wireless Sensor Networks
title_short Reinforcement Learning-Based Self-Healing Routing in Fault-prone Wireless Sensor Networks
title_sort reinforcement learning-based self-healing routing in fault-prone wireless sensor networks
topic Computer and Cyber Security
Technology & Engineering — Computing
Technology & Engineering
url https://www.mecs-press.org/ijcnis/ijcnis-v18-n2/v18n2-7.html