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A study on detecting and resolving major issues in wireless sensor network by using data mining and soft computing techniques

Wireless sensor networks plays vital role in the network communication era. A swift growth in the communication technology has made wireless sensor network to grow faster and faster with huge number of sensor motes hook up together within the network range. Due to the mobility of sensor motes results in several risks to maintain the network reliability and security. Data mining is also a blooming technology in the data processing world; It is evolving many techniques and approaches for data preprocessing, data analysis and data mining such as classification, association, clustering and prediction of data. Now a days in the wireless sensor network many researchers facing major issues like limited power, processing limitations, storage limitations of nodes, power consumption by each sensor motes, wide area coverage, security. A lot of researches found many algorithms, techniques, privacy protection methodologies but still they are not 100% optimized solutions. So here in our paper we are introducing many data mining and soft computing techniques to be deployed in the wireless sensor network to determine the solution for those issues. These techniques will works effectively and efficiently and provides issues free wireless sensor network.