Understanding wireless charger networks: Concepts, current research, and future directions
Wireless Charger Network (WCN) emerges as a promising networking paradigm, employing
wireless chargers with Wireless Power Transfer (WPT) technology to provide long-term and …
wireless chargers with Wireless Power Transfer (WPT) technology to provide long-term and …
Systematic study of topology control methods and routing techniques in wireless sensor networks
Emergence of applications of wireless sensor networks in various fields over time requires to
acknowledge existing solutions which have been proposed in history to overcome various …
acknowledge existing solutions which have been proposed in history to overcome various …
Enhancing the lifetime of wireless sensor networks using fuzzy logic LEACH technique-based particle swarm optimization
Wireless sensor networks (WSNs) have attracted significant attention because of their
widespread use in health care, habitat tracking, disaster prevention, agriculture, monitoring …
widespread use in health care, habitat tracking, disaster prevention, agriculture, monitoring …
[HTML][HTML] Cooperative Multi-Agent Reinforcement Learning for Data Gathering in Energy-Harvesting Wireless Sensor Networks
This study introduces a novel approach to data gathering in energy-harvesting wireless
sensor networks (EH-WSNs) utilizing cooperative multi-agent reinforcement learning …
sensor networks (EH-WSNs) utilizing cooperative multi-agent reinforcement learning …
A novel trust-aware and energy-aware clustering method that uses stochastic fractal search in IoT-enabled wireless sensor networks
Wireless sensor network (WSN) technology is considered to be an integral part of large-
scale and efficient deployment of Internet-of-Things (IoT). More specifically, in mission …
scale and efficient deployment of Internet-of-Things (IoT). More specifically, in mission …
Data collection strategy based on OSELM and gray wolf optimization algorithm for wireless sensor networks
Y Bai, L Cao, S Wang, H Ding… - Computational …, 2022 - Wiley Online Library
In order to effectively reduce the energy consumption, improve the efficiency of data
collection in HWSNs, and prolong the lifetime of the overall network, the clustering method is …
collection in HWSNs, and prolong the lifetime of the overall network, the clustering method is …
Optimizing Sensor Localization and Cluster Performance in Wireless Sensor Networks through Internet of Thing (IoT) and Boosted Weight Centroid Algorithm.
Localization is an extremely important component of applications that make use of wireless
sensor networks. It has a substantial impact on academics as well as real-time sensor …
sensor networks. It has a substantial impact on academics as well as real-time sensor …
Like a rainbow in the dark: metadata annotation for HPC applications in the age of dark data
B Schembera - The Journal of Supercomputing, 2021 - Springer
The deluge of dark data is about to happen. Lacking data management capabilities,
especially in the field of supercomputing, and missing data documentation (ie, missing …
especially in the field of supercomputing, and missing data documentation (ie, missing …
GWO-SMSLO: Grey wolf optimization based clustering with secured modified Sea Lion optimization routing algorithm in wireless sensor networks
Abstract Wireless Sensor Networks (WSNs) is a distributed collection of sensor nodes which
are employed to sense the natural phenomena from the environment which have been …
are employed to sense the natural phenomena from the environment which have been …
A transmission-reliable topology control framework based on deep reinforcement learning for UWSNs
Z Zhao, C Liu, X Guang, K Li - IEEE Internet of Things Journal, 2023 - ieeexplore.ieee.org
This article focuses on the topology optimization problem to decrease transmission delay
and prolong network lifetime on the premise of reliable transmission in underwater wireless …
and prolong network lifetime on the premise of reliable transmission in underwater wireless …