Reinforcement and deep reinforcement learning for wireless Internet of Things: A survey
Nowadays, many research studies and industrial investigations have allowed the integration
of the Internet of Things (IoT) in current and future networking applications by deploying a …
of the Internet of Things (IoT) in current and future networking applications by deploying a …
An elite hybrid metaheuristic optimization algorithm for maximizing wireless sensor networks lifetime with a sink node
H Wang, K Li, W Pedrycz - IEEE Sensors Journal, 2020 - ieeexplore.ieee.org
Energy saving becomes a central issue in the design of wireless sensor networks routing
algorithms. The objective of this study is to maximize the survival time of wireless sensor …
algorithms. The objective of this study is to maximize the survival time of wireless sensor …
A Q-learning-based routing approach for energy efficient information transmission in wireless sensor network
Nowadays, wireless sensor networks have played an important role in many applications. In
these applications, a large number of wireless sensors are deployed in an environment to …
these applications, a large number of wireless sensors are deployed in an environment to …
Optimal emplacement of sensors by orbit-electron theory in wireless sensor networks
M Sathyamoorthy, S Kuppusamy, A Nayyar… - Wireless …, 2022 - Springer
Wireless sensor networks (WSNs) play a significant role in various applications, ranging
from cellphones to highly secure military operations in unmanned areas where continuous …
from cellphones to highly secure military operations in unmanned areas where continuous …
Design of efficient location‐based multipath self‐adaptive balancer router using particle swarm optimization in wireless sensor network
S Sakthivel, M Manikandan… - International journal of …, 2022 - Wiley Online Library
The power sensor terminals control in wireless sensor network (WSN) communicate within a
small number of its radio range. As a branch operating based on the cluster routing protocol …
small number of its radio range. As a branch operating based on the cluster routing protocol …
Glowworm Swarm Optimization (GSO) based energy efficient clustered target coverage routing in Wireless Sensor Networks (WSNs)
Abstract The Wireless Sensor Networks is a wireless system comprising uniformly
distributed, autonomous smart sensors for physical or environmental surveillance. Being …
distributed, autonomous smart sensors for physical or environmental surveillance. Being …
A greedy-model-based reinforcement learning algorithm for Beyond-5G cooperative data collection
X Liu, Q Zhou, CT Cheng, C Liu - Physical Communication, 2022 - Elsevier
Data collection is an essential part of Beyond-5G and Internet of Things applications. In
urban area, heterogeneous access points such as Wi-Fi routers and base stations can meet …
urban area, heterogeneous access points such as Wi-Fi routers and base stations can meet …
Enhanced LION optimization with efficient path routing equilization technique against DOS attack in WSN
R Elavarasan, K Chithra - 2021 - researchsquare.com
Abstract In WSN, DOS (Denial of service) attack makes shortcoming system. The packets
travel over and over in the sensor network. By that all the assets like data transmission …
travel over and over in the sensor network. By that all the assets like data transmission …
Energy aware Multi-chain PEGASIS in WSN: A Q-Learning Approach
R Dey, P Kumar, G Thakurta - … Conference on Soft Computing and Signal …, 2021 - Springer
A battery level-aware Q-learning [BLAQL] technique-based PEGASIS in wireless sensor
networks is proposed to improve energy efficiency and, henceforth, the lifetime of nodes of …
networks is proposed to improve energy efficiency and, henceforth, the lifetime of nodes of …