Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Wireless sensor networks (WSNs) are widely used for various monitoring applications. Users issue queries to sensors and collect sensing data. Due to the low quality sensing devices or random link failures, sensor data are often noisy. In order to increase the reliability of the query results, continuous queries are often employed. In this work  focus on continuous holistic queries like median. Existing approaches are mainly designed for non-holistic queries like average. Hover, it is not trivial to ansr holistic ones due to their non-decomposable property.  propose two schemes for ansring queries under different data changing conditions. While sensor data changes slowly, based on the data correlation beten different rounds,  propose one algorithm for getting the exact ansrs. When the data changing speed is high,  propose another approach to derive the approximate results.  evaluate both designs through extensive simulations. The results demonstrate that our approach significantly reduces the traffic cost compared with previous works while maintaining the same accuracy.
['Kebin Liu', 'Lei Chen', 'Minglu Li', 'Yunhao Liu']
I am writing a research paper on a idea Continuous answering holistic queries over sensor networks
[{"from": "human", "value": "I am writing a research paper on a idea Continuous answering holistic queries over 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: Wireless sensor networks (WSNs) are widely used for various monitoring applications. Users issue queries to sensors and collect sensing data. Due to the low quality sensing devices or random link failures, sensor data are often noisy. In order to increase the reliability of the query results, continuous queries are often employed. In this work  focus on continuous holistic queries like median. Existing approaches are mainly designed for non-holistic queries like average. Hover, it is not trivial to ansr holistic ones due to their non-decomposable property.  propose two schemes for ansring queries under different data changing conditions. While sensor data changes slowly, based on the data correlation beten different rounds,  propose one algorithm for getting the exact ansrs. When the data changing speed is high,  propose another approach to derive the approximate results.  evaluate both designs through extensive simulations. The results demonstrate that our approach significantly reduces the traffic cost compared with previous works while maintaining the same accuracy."}]