A Q-Learning-based distributed routing protocol for frequency-switchable magnetic induction-based wireless underground sensor networks
G Liu - Future Generation Computer Systems, 2023 - Elsevier
Abstract Magnetic Induction (MI) based Wireless underground sensor networks (WUSNs)
consist of magnetic-antenna sensors that are buried in and communicate through soil …
consist of magnetic-antenna sensors that are buried in and communicate through soil …
Magnetic Induction Technology‐Based Wireless Sensor Network for Underground Infrastructure, Monitoring Soil Conditions, and Environmental Observation …
Wireless sensor networks (WSNs) especially with sensor nodes communicating with each
other in medium other than air have been naive area of research since the last few years. In …
other in medium other than air have been naive area of research since the last few years. In …
Internet of underground things in agriculture 4.0: Challenges, applications and perspectives
Internet of underground things (IoUTs) and wireless underground sensor networks (WUSNs)
are new technologies particularly relevant in agriculture to measure and transmit …
are new technologies particularly relevant in agriculture to measure and transmit …
A decomposition-based multi-objective optimization approach for balancing the energy consumption of wireless sensor networks
Wireless sensor networks consist of many sensor nodes with limited resources and
computing capability. Thus, managing energy consumption to prolong network lifetime is a …
computing capability. Thus, managing energy consumption to prolong network lifetime is a …
Multifactorial evolutionary optimization to maximize lifetime of wireless sensor network
Prolonging network lifetime is a crucial issue for wireless sensor networks, as sensor nodes
operate on limited amounts of battery energy, and replacing or recharging nodes is still quite …
operate on limited amounts of battery energy, and replacing or recharging nodes is still quite …
Optimizing wireless sensor network lifetime through K-coverage maximization and memetic search
Many wireless sensor networks (WSNs) not only need to cover targets within their sensing
fields, but also operate for extended periods without requiring expensive recharging. This is …
fields, but also operate for extended periods without requiring expensive recharging. This is …
Reinforcement learning–enabled efficient data gathering in underground wireless sensor networks
Wireless underground sensor networks (WUSNs) consist of sensors that are buried in and
communicate through soil medium, while the channel quality of WUSNs is greatly impacted …
communicate through soil medium, while the channel quality of WUSNs is greatly impacted …
Multi-objective teaching–learning evolutionary algorithm for enhancing sensor network coverage and lifetime
Coverage plays a vital role in the performance and proper functioning of wireless sensor
networks. However, ensuring a network's coverage is met numerous challenges due to …
networks. However, ensuring a network's coverage is met numerous challenges due to …
Exploiting relay nodes for maximizing wireless underground sensor network lifetime
A major challenge in wireless underground sensor networks is the signal attenuation
originated from multi-environment transmission between underground sensor nodes and the …
originated from multi-environment transmission between underground sensor nodes and the …
Towards optimal wireless sensor network lifetime in three dimensional terrains using relay placement metaheuristics
In wireless sensor networks, sensor nodes located close to the base station or sink are more
susceptible to energy loss, leading to premature disconnection of the network or energy …
susceptible to energy loss, leading to premature disconnection of the network or energy …