Mobile phone is now becoming a necessary gadget in our daily life. Mobile applications have been proposed to advance the function of mobile phone. Location service application is a kind of mobile application that provides location information such as current location of the mobile phone. GPS is the popular technology for location service on mobile phone because many models of mobile phone are embedded with GPS sensor. Although GPS can provide high accuracy over outdoor scenario, GPS cannot provide good accuracy in indoor environment because the GPS signal from GPS satellites is blocked by the structure of building. The indoor localization systems have been proposed to address the above-mentioned problem. Many indoor localization systems require costly back-end server to process location. Moreover, the devices need to connect to the back-end servers to request the service. In this paper, we propose a serverless indoor localization system for mobile phone platform. The proposed system does not need any support from back-end server. The localization is processed on mobile phone. The system is developed as an Android application, utilizing Wi-Fi signal to determine the current location of mobile phone and uses mobile ad hoc network to disseminate the current location to other users in the system. The proposed system achieves accuracy up to 83.43% when the system is deployed in the twofloors building, which is the experimental site.
Nowadays, a mobile phone plays an important role in daily life. There are many applications developed for mobile phones. Location service application is one kind of mobile application that serves location information. GPS receiver is embedded on a mobile phone for localization. However, GPS cannot provide localization service over indoor scenario efficiently. This is because obstacles and structures of building block GPS signal from the satellites. Many indoor localization systems have been proposed but most of them are developed over single-floor scenario only. The dimension of altitudes in localization results will be missed. In this paper, we propose floor localization system. The proposed system does not need any site survey and any support from back-end server. It has a self-learning algorithm for creating fingerprint in each floor. The self-learning algorithm utilizes sensors on the mobile phone for detecting trace of mobile phone user. This algorithm is low computation complexity, which can be operated on any mobile phones. Moreover, the mobile phone can exchange fingerprints with others via virtual ad hoc network instead of learning all floor fingerprints by themselves only. Our proposed floor localization system achieves 87% of accuracy.
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