In the last few years, with the persistent improvement of Industrial Wireless Sensor Networks
(IWSNs), the application of Industrial Internet of Things (IIoT) has ended up progressively far …

As an underlayment to cellular 5G communication network, device‐to‐device (D2D)
communications will not only boost capacity utilization and power efficiency but also provide …

Deep reinforcement learning (DRL) has emerged as a promising technique for optimizing
the deployment of unmanned aerial vehicles (UAVs) for data collection in wireless sensor …

Wireless Sensor Networks (WSNs) are essential for IoT-enabled crisis management and
executive response. This paper explores WSNs' function in catastrophe situations and …

The outlook of the World toward health infrastructure has drastically changed due to COVID-
19 which created the need for the development of emerging technologies where interactions …

Recent advancements in the field of the Internet of Medical Things (IoMT) have enabled the
real-time monitoring and treatment of patients with communicable infectious diseases while …

With the evolution of technology, many modern applications like habitat monitoring,
environmental monitoring, disaster prediction and management, and telehealth care have …

The maximization of the network lifespan is the main goal of designing SDN-enabled WSNs
with limited network resource utilization. Clustering and routing techniques are widely used …

Wireless sensor networks (WSNs) require optimized energy consumption and an improved
packet delivery ratio (PDR) for optimal performance. Clustering and routing strategies are …

In wireless rechargeable sensor networks, the mobile vehicle (MV) combining energy
replenishment and data collection often collects all sensed data, which may lead to data …