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Below is a list of papers that have been peer-reviewed and accepted for publication in AHSWN but have not yet been assigned to an issue and are awaiting final changes before going to press. Articles will not be published until they have been assigned and final proofs have been approved by their author or authors.
Investigative Analysis of Vulnerabilities and Attacks on Underwater Wireless Sensor Networks
Jibran R. Khan, Shariq M. Khan and Farhan A. Siddiqui
Abstract
A Clustering Approach for Attack Detection and Data Transmission in Vehicular Ad-Hoc Networks
Atul Barve
Abstract
Unleashing the Power of a Novel Lightweight Lattice-Based CP-ABE for Robust IoT Data Transmission
Kranthi Kumar Singamaneni, Mahesh T. R., Vinoth Kumar V., Amandeep Singh K., Balajee J. and E. Mohan
Abstract
Recent Advances in Sensor Technology for Agricultural Data Monitoring, Analysis and Applications: A Review
Farzana Ahmad, Sohail Abbas, Musa Kaleem Baloch, Amina Bibi, Mohammad Luqman and Muhammad Jamil
Abstract
A Lightweight Solution for Detecting the Worst Parent Attack in RPL-Based IoT Networks
Meriem Abid and Mohammed Alem
Abstract
Decentralized and Secured Framework for IoT using Blockchain Technology
Vidyashree L and Dr. Suresha
Abstract
Multi-Point Cluster Head Selection with Optimized Routing Principles for Randomized Wireless Sensor Networks
Arun Prasath N and Muthu Vijaya Pandian S
Abstract
Attack Detection on Internet of Things via Deep Ensemble Classifier Model with Proposed Feature Set
Rekha H and Siddappa M
Abstract
Range-Based Localization in Underwater Wireless Sensor Networks Using the Optimization Algorithm
Nishi Yadav and Vishnu Prasad Yadav
Abstract
An Energy-Efficient and Balanced Method for Centralized Clustering Routing Protocol in Wireless Sensor Networks
Hamid Karimi
Abstract
Research on Parking Space Choice Behavior in Large Underground Garages Considering the Influence of Vehicular Ad Hoc Networks
Hepeng Chen, Yanyan Chen, Chen Li, Wenbo Huang, Yongxing Li and Jifu Guo
Abstract
An Energy Efficient Routing for WSN Using Adaptive Opposition Based Reinforcement Learning
Epuri Deepthi, Nandhagopal Nachimuthu and G. Prakash
Abstract
Trust-based Anomalies Detection in Internet of Things: Optimal Neural Network for Attack Classification
Vishal Gotarane and Preeti Gupta
Abstract