A large scale cooperative localization method

• Main Authors: Teng, Wei Tun, 鄧偉敦
• Other Authors: Tsai, Tzu Chieh
• Format: Others
• Language: en_US
• Published: 2011
• Online Access: http://ndltd.ncl.edu.tw/handle/68944312920496340998

碩士 === 國立政治大學 === 資訊科學學系 === 99 === Smart phones and Location Based Services (LBSs) have become very popular in recent years. To this end, the smart phone needs to know the locations of users. Therefore, an accurate localization technique is important. To date people can use some localization systems in some specific areas. For instance, GPS can only be used in the outdoor space. However, people always live in large scale environments like campus, urban and tourist areas. The large scale environments should include indoor and outdoor space. For large scale environment, a single location technique is not always available everywhere. Therefore, we proposed a heterogeneous localization algorithm which combines GPS, WiFi and Internet Of Things (IOT) localizations. We proposed “localization possibility” for each localization methods. This algorithm use localization possibility to select the most “reliable” (possible) one. Besides, the more reliable nearby users can further enhance the localization by measuring the relative WiFi signal strength. It helps especially for those users who have no any available localization methods. This method is called “cooperative localization”. Finally, we evaluated the accuracy of our algorithms by simulation. Because signal strength fluctuates from minute to minute, we measured empirical data and put into the simulator to make our experimental results more real. Finally, we also verify that our idea can be implemented on smart phones and our algorithm is more accurate.