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Deep Q-Learning Driven Protocol for Enhanced Border Surveillance with Extended Wireless Sensor Network Lifespan

Nimisha Rajput Amit Kumar Raghavendra Pal Nishu Gupta Mikko Uitto Jukka Mäkelä

Computer Modeling in Engineering & Sciences2025，Vol.143Issue(6)：P.3839-3859,21.

Computer Modeling in Engineering & Sciences2025，Vol.143Issue(6)：P.3839-3859,21.DOI:10.32604/cmes.2025.065903

Deep Q-Learning Driven Protocol for Enhanced Border Surveillance with Extended Wireless Sensor Network Lifespan

Nimisha Rajput ¹Amit Kumar ¹Raghavendra Pal ¹Nishu Gupta ²Mikko Uitto ²Jukka Mäkelä²

作者信息

1. Department of Electronics Engineering,Sardar Vallabhbhai National Institute of Technology,Surat,395007,Gujrat,India
2. Future Communication Networks,VTT Technical Research Centre of Finland Ltd.,Oulu,90590,Finland
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摘要

关键词

Wireless sensor networks(WSNs)/energy efficiency/reinforcement learning/network lifetime/dynamic node management/autonomous surveillance

分类

信息技术与安全科学

引用本文复制引用

Nimisha Rajput,Amit Kumar,Raghavendra Pal,Nishu Gupta,Mikko Uitto,Jukka Mäkelä..Deep Q-Learning Driven Protocol for Enhanced Border Surveillance with Extended Wireless Sensor Network Lifespan[J].Computer Modeling in Engineering & Sciences,2025,143(6):P.3839-3859,21.

基金项目

funded by Sardar Vallabhbhai National Institute of Technology through SEED grant No.Dean(R&C)/SEED Money/2021-22/11153Date:08/02/2022 （R&C）

supported by Business Finland EWARE-6G project under 6G Bridge program,and in part by theHorizon Europe(Smart Networks and Services Joint Under taking)program under Grant Agreement No.101096838(6G-XR project). （Smart Networks and Services Joint Under taking）

Computer Modeling in Engineering & Sciences

ISSN：1526-1492

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