Toward QoS monitoring in IoT edge devices driven healthcare—a systematic literature review

MI Younas, MJ Iqbal, A Aziz, AH Sodhro - Sensors, 2023 - mdpi.com
Smart healthcare is altering the delivery of healthcare by combining the benefits of IoT,
mobile, and cloud computing. Cloud computing has tremendously helped the health industry …

PRESEP: Cluster based metaheuristic algorithm for energy-efficient wireless sensor network application in internet of things

SK Sharma, M Chawla - Wireless Personal Communications, 2023 - Springer
A metaheuristic approach based hybrid data routing algorithm is proposed in this paper for
energy-efficient wireless sensor network (WSN) applications in Internet of Things (IoT). High …

[HTML][HTML] UAV-supported intelligent truth discovery to achieve low-cost communications in mobile crowd sensing

J Bai, J Gui, G Huang, S Zhang, A Liu - Digital Communications and …, 2024 - Elsevier
Unmanned and aerial systems as interactors among different system components for
communications, have opened up great opportunities for truth data discovery in Mobile …

CRLM: A cooperative model based on reinforcement learning and metaheuristic algorithms of routing protocols in wireless sensor networks

Z Wang, L Shao, S Yang, J Wang, D Li - Computer Networks, 2023 - Elsevier
In wireless sensor networks, reasonable clustering and routing are keys to efficient energy
utilization. However, the selection of cluster heads and routes is NP-hard. Most of the …

Ensuring data freshness in wireless monitoring networks: Age-of-Information-sensitive coverage and energy efficiency perspectives

J Kim, M Kim, MS Kim, J Lee - IEEE Internet of Things Journal, 2023 - ieeexplore.ieee.org
With the development of the Internet of Things, the sensor usage has been elevated to a
new level, and it becomes more crucial to maintain reliable sensor networks. In this article …

Coverage algorithm based on perceived environment around nodes in mobile wireless sensor networks

Y Liu, Q Li - Wireless Personal Communications, 2023 - Springer
Wireless sensor networks are usually deployed in harsh environments, remote locations and
unmanned areas. Especially in the complex application environment, the optimization of …

Detecting video game player burnout with the use of sensor data and machine learning

A Smerdov, A Somov, E Burnaev… - IEEE Internet of …, 2021 - ieeexplore.ieee.org
Current research in eSports lacks the tools for proper game practising and performance
analytics. The majority of prior work relied only on in-game data for advising the players on …

RLR: Joint reinforcement learning and attraction reward for mobile charger in wireless rechargeable sensor networks

C Shang, CY Chang, WH Liao… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
Advances in wireless charging technology give great new opportunities for extending the
lifetime of a wireless sensor network (WSN) which is an important infrastructure of IoT …

Reallocation of Heterogeneous Sensors on Road Networks for Traffic Accident Detection

Q Cao, Z Li, P Tao, Y Zhao - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Currently, many types of sensors, such as cameras and radars, have been widely deployed
on road networks according to historical accident data for traffic accident detection and …

Deep Reinforcement Learning‐Based UAV Path Planning for Energy‐Efficient Multitier Cooperative Computing in Wireless Sensor Networks

Z Guo, H Chen, S Li - Journal of Sensors, 2023 - Wiley Online Library
Benefiting from the progress of microelectromechanical system (MEMS) technology,
wireless sensor networks (WSNs) can run a large number of complex applications. One of …