A Novel Method to Improve Energy and Lifetime in WSN Networks Using Scheduling Method

A Wireless Sensor Network (WSN) is comprised of numerous sensors that are used to monitor various physical or environmental factors, such as health conditions, military applications, temperature, sound, vibration, pressure, motion, or pollutants.The sensors work together to transmit the collected data across a network to a central location.The primary attributes of nodes in a Wireless Sensor Network are low power consumption and minimal processing capabilities.It is crucial to optimize energy consumption in WSN applications.This research presents a novel approach aimed at enhancing the longevity of sensor nodes inside the network.Only a limited number of sensors are now operating in the covered locations, while the rest is in an optimum state.Periodically, all the nodes transit between the active and ideal states.Meanwhile, the nodes that are in an optimal condition allow for a brief interval to verify the current status of the active nodes.If any nodes in the region experience a failure, the ideal sensor becomes active and detects the data.Since the status of all nodes change frequently, only a few nodes are in an active state and begin to detect data utilizing their energy.The energy of ideal nodes is conserved and will only be utilized when they become active.The suggested technique offers nearly ideal improvement in network longevity, and its output surpasses the performance of the existing approach by a factor of six.