Analyzing data mining techniques for wireless sensor network protocols

摘要: In this paper, a structure for extracting and mining wireless sensor data. This consists of new formulation data technique using the association rule by distributed extraction method. The design express sequential relations between sensors rules estimating value missed events also to improve performance. proposed method is designed with network life time minimizing number messages required process. experiment results have shown that our methodology can reduce exchanged at least 40% compared existing other methods. automatically collects information or compressed representation (CRS) able compress provides easy fast collection process CRS analyzed FP-Growth, algorithm, better than FP-Growth.