Lightweight APIT with Bat Optimization with Simulated Annealing Localization for Resource-Constrained Sensor Networks

In a wireless sensor network, information processing, and acquisition, localization technology is the key to making it practically possible application. Approximate Point-in-Triangulation (APIT) most widely used estimation which has high accuracy in localizing nodes ease of deployment real-time environment. Though numerous advantages, some drawbacks make little setback preference are unevenness distribution nodes. Tracking more appropriate for mobile than tracking static The two main types algorithms range-based range-free techniques. an indoor setting, projected range (distance) between anchor unknown node very inaccurate. By utilizing large number already existing access points (APs) approach, this issue can be overcome great extent. utilization multisensor data, such as magnetic, inertial, compass, gyroscope, ultrasonic, infrared, visual, and/or odometer, stressed recent research further increase accuracy. system also makes location predictions future based on historical data. To issue, proposed algorithm APIT with Bat-SA proves its efficiency. Due low error, traditional Bat method accurate APIT. using SA found perform better terms convergence computing rate success rate. order mimic suggested method, paired technique. Simulation evaluation performance efficiency algorithm. metrics parameters latency, map, positioning error neighbor relationship diagram evaluate method.