Energy‐Efficient Enhancement for the Prediction‐Based Scheduling Algorithm for the Improvement of Network Lifetime in WSNs

Abstract

In wireless sensor networks, due to the restricted battery capabilities of sensor nodes, the energy issue plays a critical role in network efficiency and lifespan. In our work, an upgraded long short-term memory is executed by the base station to frequently predict the forecast positions of the node with the help of load-adaptive beaconing scheduling algorithm. In recent years, new technologies for wireless charging have offered a feasible technique in overcoming the WSN energy dilemma. Researchers are deploying rechargeable wireless sensor networks that introduce high-capacity smartphone chargers for sensor nodes for charging. Nearly all R-WSN research has focused on charging static nodes with relativistic routes or mobile nodes. In this work, it is analysed how to charge nondeterministic mobility nodes in this work. In this scenario, a new mechanism is recommended, called predicting-based scheduling algorithm, to implement charging activities. In the suggested technique, it directs them to pursue the mobile charger and recharge the sensor, which is unique for the present work. The mobile charger will then choose a suitable node, utilizing a scheduling algorithm, as the charging object. A tracking algorithm based on the Kalman filter is preferred during energy transfer to determine the distance needed for charging between the destination node & mobile charger. Here, the collecting & processing of data are performed through the big data collection in WSNs. The R-WSN charging operations of nondeterministic mobility nodes will be accomplished using the proposed charging strategy.

Monitoring of Single-Phase Induction Motor through IoT Using ESP32 Module

“…Other work done in this field is condition monitoring of motors using GSM modules and radio frequency waves [9,10]. Hardware module consists of printed circuit board, and along with these, sensors, ICs, and processors are mounted.…”

“…In most of the previous work done, sensors that have been used for parameter collection are ADXL 345, ACS 7212, and LM 35 as acceleration, current, and temperature sensors, respectively [8,11]. In contrast to it in reference paper [9], piezoelectric transducer is used to collect vibration data for motors and storing it in cloud using Nodemcu.…”

“…The transformer converts 240 V to 12 V, and the secondary is connected to arrangement of rectifier with zener diode. Fivevolt logic across zener diode is reduced to proportional 3.3 V, and the logic is given to ESP32 module ADC pin [9]. As the single-phase supply varies, the logic level to ESP32 module also changes in reference to 3.3 V. As per the formula given in the code single phase voltage gets recorded and stored in cloud IoT platform.…”

GPS Receiver Position Estimation and DOP Analysis Using a New Form of the Observation Matrix Approximations

“…To demonstrate the efficiency of the H over H, it is applied to compute GDOP and to estimate GPS receiver position [16][17][18]. Comparative results show a notable improvement due to the proposed observation matrix.…”

A Review on Frequency Stability Enhancement and Effective Energy Storage through Various Optimization Techniques

“…It takes only a few minutes to recharge, and the charge and discharge phases can be repeated thousands of times without degrading the magnet's strength. Depending on the system's capacity, the recharging time can be shortened to satisfy specified parameters [15,23]. e SMES system is a DC current storage device that uses a strong magnetic field to store energy [1].…”