Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: ,  introduce a comprehensive framework for extracting and mining sensor data. This framework consists of a new formulation for the association rules, distributed extraction mechanism, and a compressed structure for the data along with the mining algorithm that is able to extract the knowledge out of it. The new formulation define the temporal relations beten sensors and map them to the association rules, a ll know data mining technique, a direct application of the extracted relations is predicting the sources of future events, estimating the value of missed events, or identifying faulty nodes. The proposed distributed extraction is designed to improve the network life time by reducing number of messages needed to generate the required data for the mining process, experiments have shown that our distributed extraction solution is able to reduce number of exchanged messages by 50% compared to a centralized solution. The compressed representation structure, which  call it positional lexicographic tree (PLT), is able to partition and compressed the data and provides an easy access mechanism for manipulating the data,  successfully compared the mining process of the PLT with the FP-Growth, a ll know mining algorithm, results have shown that PLT outperform FP-Growth in both CPU time and memory usage
['Azzedine Boukerche', 'Samer Samarah']
I am writing a research paper on a idea A Performance Evaluation of Distributed Framework for Mining Wireless Sensor Networks
[{"from": "human", "value": "I am writing a research paper on a idea A Performance Evaluation of Distributed Framework for Mining Wireless Sensor Networks"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: ,  introduce a comprehensive framework for extracting and mining sensor data. This framework consists of a new formulation for the association rules, distributed extraction mechanism, and a compressed structure for the data along with the mining algorithm that is able to extract the knowledge out of it. The new formulation define the temporal relations beten sensors and map them to the association rules, a ll know data mining technique, a direct application of the extracted relations is predicting the sources of future events, estimating the value of missed events, or identifying faulty nodes. The proposed distributed extraction is designed to improve the network life time by reducing number of messages needed to generate the required data for the mining process, experiments have shown that our distributed extraction solution is able to reduce number of exchanged messages by 50% compared to a centralized solution. The compressed representation structure, which  call it positional lexicographic tree (PLT), is able to partition and compressed the data and provides an easy access mechanism for manipulating the data,  successfully compared the mining process of the PLT with the FP-Growth, a ll know mining algorithm, results have shown that PLT outperform FP-Growth in both CPU time and memory usage"}]