In wireless sensor networks, optimizing the network lifetime is an important issue. Most of the
existing works define network lifetime as the time when the first sensor node exhausts all of …

Generally, wireless sensor network is a group of sensor nodes which is used to continuously
monitor and record the various physical, environmental, and critical real time application …

Q-learning has been primarily used as one of the reinforcement learning (RL) techniques to
find the optimal routing path in wireless sensor networks (WSNs). However, for the …

Deployment of wireless sensor networks usually found in science and designing
applications, in military applications for intrusion detection and in civil applications. WSNs …

Abstract In Wireless Sensor Networks, network lifetime optimization has challenging and
significant issue. Subsequently, most of the existing works delineate several factors to …

COVID-19 pandemic is a situation where every person is looking for solution towards
disease. Once a person tested positive for COVID-19, he/she has to get admitted in hospital …

A carefully designed routing protocol can facilitate wireless sensor networks (WSNs) with
improved performance in terms of end-to-end delay, energy consumption, and packet …

Internet of Things enabled Wireless Sensor Networks (IoT-enabled WSNs) rely heavily on
routing protocols because of the importance of various system performance parameters …

In the recent times, huge sensor devices are adapted for patients' health monitoring in
healthcare. The Healthcare Internet of Things (HC-IoT) relies on wireless sensors to store …

The sensor nodes' energy-efficient utilization is a major challenge in the design of Wireless
Sensor Networks (WSNs). This is because the network lifetime is determined by the sensor …