Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Mobile phones are becoming a porful platform for global-scale measurements due to their ever-increasing programmability and prevalence. Moreover, advanced sensing capabilities have allod mobile phones to become aware of the user's context, potentially leading to performance improvement. Such context awareness could be exploited to optimize a wireless network connection since wireless channels are known to depend on the surrounding environment. The viability of context-aware wireless performance improvement would heavily depend on whether differences in context had meaningful performance distinction and whether the training overhead per context encountered would overwhelm potential gains. ,  perform a large-scale measurement study of regional performance based on a users context and characterize user mobility around the world. To do so,  deployed WiEye, an Android-based wireless sniffer which has collected over 50 million measurements from over 30 thousand unique users.  categorize measurements according to land use and political divisions to investigate whether distinct levels of performance exist as indicated by wireless path loss.  then examine user mobility patterns via subtractive fuzzy clustering to determine how many different contexts a user typically encounters. Our results show promise for context awareness since distinct levels of performance are observed per land use class with only one or two contexts being typical per user.
['Rod Meikle', 'Joseph Camp']
I am writing a research paper on a idea A global measurement study of context-based propagation and user mobility
[{"from": "human", "value": "I am writing a research paper on a idea A global measurement study of context-based propagation and user mobility"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Mobile phones are becoming a porful platform for global-scale measurements due to their ever-increasing programmability and prevalence. Moreover, advanced sensing capabilities have allod mobile phones to become aware of the user's context, potentially leading to performance improvement. Such context awareness could be exploited to optimize a wireless network connection since wireless channels are known to depend on the surrounding environment. The viability of context-aware wireless performance improvement would heavily depend on whether differences in context had meaningful performance distinction and whether the training overhead per context encountered would overwhelm potential gains. ,  perform a large-scale measurement study of regional performance based on a users context and characterize user mobility around the world. To do so,  deployed WiEye, an Android-based wireless sniffer which has collected over 50 million measurements from over 30 thousand unique users.  categorize measurements according to land use and political divisions to investigate whether distinct levels of performance exist as indicated by wireless path loss.  then examine user mobility patterns via subtractive fuzzy clustering to determine how many different contexts a user typically encounters. Our results show promise for context awareness since distinct levels of performance are observed per land use class with only one or two contexts being typical per user."}]