Energy-efficiency Enhancement using a Novel Dots Protocol based on Scheduler in WSNs Wildfire Application

“Forest Fires (FF)” have become far more frequent in current decades for several reasons, including people's activity and environmental disruption. In this study, we will discuss the structure of a “Wireless Sensor Network (WSN)” and a data-gathering technique for FF detection in actual environments. The energy efficiency is crucial due to the “Sensor Node (SN)” constrained processing capability and minimum power battery. Extensive study is required to address these concerns. The SNs must be placed as closely together as feasible so that the whole forest can be monitored. Such an implementation strategy produces a crowded network environment in which SNs' coverage could intersect. To achieve the coverage goal, the basic requirement is to activate all SNs following installation. Together all SNs inside these overlapping areas are left “ON” which will reduce the lifespan of the network. Some of the SNs were put into an “Active-State (AS)” whereas others are left in a “Sleep-State (SS)” strategy that may be used to prolong the network's lifespan and preserve its coverage. Our study proposes a new protocol called the “Dynamic Optimized Time Scheduler (DOTS)” based on clustering to deal with the network lifespan problem from two angles. At first, the “Enhanced Sleeping Scheduler (ESS)” method is used to keep a small group of SNs in AS to guard the target while the rest of the SNs in the SS. The next will be for SNs to occasionally share the data they've collected locally with one another. The primary use of this concept is to update receivers only after an update has taken place. We examine the “Energy Efficiency”, “Packet Delivery Ratio”, “Throughput”, and “Routing Overhead” of the proposed DOTS protocol in comparison to the “Clustering-based Compression-Aggregation (CCA)” and the “Tunicate Swarm Algorithm (TSA)” existing protocols in the WSN.