Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: As the applications of wireless sensor networks continue to expand, it is important to support fast and simultaneous data aggregation over multiple regions for advanced data analysis. ,  propose a solution by using a novel distributed data structure called distributed data cube (DDC). A DDC maintains a set of special forms of aggregate values (prefix sum, prefix average, prefix max, and prefix min) in distributed sensor nodes.  will first present fast algorithms to build a DDC within a sharp time bound. Then,  will present efficient distributed query-processing algorithms to handle aggregate queries by using a DDC. For a query region with  n  sensor nodes, our algorithms can return within  O (√ n ) time. Finally, extensive simulation studies confirm that a DDC can be built very quickly, which is consistent with the theoretical time bound. The network traffic injected while constructing a DDC is acceptable and also scalable as the network size grows. Query processing on a DDC is fast and energy efficient in terms of the time units needed and the number of messages incurred.
['Dan Wu', 'Man Hon Wong']
I am writing a research paper on a idea Fast and Simultaneous Data Aggregation Over Multiple Regions in Wireless Sensor Networks
[{"from": "human", "value": "I am writing a research paper on a idea Fast and Simultaneous Data Aggregation Over Multiple Regions in 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: As the applications of wireless sensor networks continue to expand, it is important to support fast and simultaneous data aggregation over multiple regions for advanced data analysis. ,  propose a solution by using a novel distributed data structure called distributed data cube (DDC). A DDC maintains a set of special forms of aggregate values (prefix sum, prefix average, prefix max, and prefix min) in distributed sensor nodes.  will first present fast algorithms to build a DDC within a sharp time bound. Then,  will present efficient distributed query-processing algorithms to handle aggregate queries by using a DDC. For a query region with  n  sensor nodes, our algorithms can return within  O (\u221a n ) time. Finally, extensive simulation studies confirm that a DDC can be built very quickly, which is consistent with the theoretical time bound. The network traffic injected while constructing a DDC is acceptable and also scalable as the network size grows. Query processing on a DDC is fast and energy efficient in terms of the time units needed and the number of messages incurred."}]