Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: In ubiquitous environment, wireless sensor networks are increasingly being deployed to collect information from real world. For sharing huge amount of sensor data efficiently with diverse users, an information dissemination (INFOD) system is very important. In our previous work,  proposed an INFOD system integrated with sensor network and data grid as a publish/subscribe system for a ubiquitous-healthcare application. To disseminate sensed data to diverse users, a matching algorithm called classed group index matching (CGIM) was proposed in our previous work to match published events with subscriptions efficiently. CGIM used statistical grouping method with equivalent intervals for each group which shod poor performance in case of non-uniform subscription distributions.  need to decide proper number of groups to improve the performance. ,  propose efficiency based dynamic re-grouping (DRG) method for CGIM to improve its performance for our INFOD system. Experimental results clearly demonstrate the performance improvement of CGIM algorithm.
['Mohammad Mehedi Hassan', 'Bo-Hyun Seok', 'Ki-Moon Choi', 'Eui-Nam Huh']
I am writing a research paper on a idea An Efficient Event Matching Algorithm for Information Dissemination on Grid
[{"from": "human", "value": "I am writing a research paper on a idea An Efficient Event Matching Algorithm for Information Dissemination on Grid"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: In ubiquitous environment, wireless sensor networks are increasingly being deployed to collect information from real world. For sharing huge amount of sensor data efficiently with diverse users, an information dissemination (INFOD) system is very important. In our previous work,  proposed an INFOD system integrated with sensor network and data grid as a publish/subscribe system for a ubiquitous-healthcare application. To disseminate sensed data to diverse users, a matching algorithm called classed group index matching (CGIM) was proposed in our previous work to match published events with subscriptions efficiently. CGIM used statistical grouping method with equivalent intervals for each group which shod poor performance in case of non-uniform subscription distributions.  need to decide proper number of groups to improve the performance. ,  propose efficiency based dynamic re-grouping (DRG) method for CGIM to improve its performance for our INFOD system. Experimental results clearly demonstrate the performance improvement of CGIM algorithm."}]