Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: The explosive proliferation of mobile devices and the popularity of social networks have spurred extensive demands on Location Based Services (LBSs) in recent decades. The IEEE 802.11 (WiFi) based Indoor Positioning Systems (IPSs) are gaining popularity because of the wide and ubiquitous availability of WiFi infrastructures in indoor environments. Most of IPSs are adopting the fingerprinting approach to mitigate pervasive indoor multipath effects. Hover, the heterogeneity of mobile devices significantly degrades the localization performance of the fingerprinting approach. ,  apply the Procrustes analysis method to transform the WiFi received signal strengths (RSSs) to a new type of standard location fingerprints which are tolerant of the heterogeneity of various devices. Then, a robust indoor positioning algorithm based on the standardized location fingerprints and the ighted k nearest neighbor (WKN-N) method is proposed. Extensive experiments are carried out and show that the standardized location fingerprints and the proposed positioning system address the device heterogeneity issue satisfactorily.
['Han Zou', 'Baoqi Huang', 'Xiaoxuan Lu', 'Hao Jiang', 'Lihua Xie']
I am writing a research paper on a idea Standardizing location fingerprints across heterogeneous mobile devices for indoor localization
[{"from": "human", "value": "I am writing a research paper on a idea Standardizing location fingerprints across heterogeneous mobile devices for indoor localization"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: The explosive proliferation of mobile devices and the popularity of social networks have spurred extensive demands on Location Based Services (LBSs) in recent decades. The IEEE 802.11 (WiFi) based Indoor Positioning Systems (IPSs) are gaining popularity because of the wide and ubiquitous availability of WiFi infrastructures in indoor environments. Most of IPSs are adopting the fingerprinting approach to mitigate pervasive indoor multipath effects. Hover, the heterogeneity of mobile devices significantly degrades the localization performance of the fingerprinting approach. ,  apply the Procrustes analysis method to transform the WiFi received signal strengths (RSSs) to a new type of standard location fingerprints which are tolerant of the heterogeneity of various devices. Then, a robust indoor positioning algorithm based on the standardized location fingerprints and the ighted k nearest neighbor (WKN-N) method is proposed. Extensive experiments are carried out and show that the standardized location fingerprints and the proposed positioning system address the device heterogeneity issue satisfactorily."}]