Research on Mobile Node Localization Optimization Algorithm in Wireless Sensor Networks Based on Monte Carlo Method

Mobile node localization is one of the key technologies in wireless sensor network applications. Aiming at shortcomings Monte Carlo algorithm (MCL) mobile nonideal environments, such as low accuracy and sampling rate, prediction phase filtering MCL, communication radius unknown determined according to size irregularity node. Perform layering, assign adaptive weights anchor nodes different layers area where they are located, propose an improved algorithm. After simulation analysis, has average error under regularity conditions. It dropped by about 12%, 10% on speed MCL networks accuracy, large sample demand, long time, fuzzified reduce node, based fuzzy theory proposed. The algorithm, after 50% shorter than traditional up 30% higher