ABSTRACT
Ubiquitous smartphone and location information are enabling new features of location-based services (LBS) around local navigation, retail recommendation, proximity social networking, and location-aware advertising. The focus is also shifting geographically from outdoor to indoor. This chapter proposes location optimization approaches in a mobile phone via opportunistic anchor sensing. Using the obtained coarse-grained absolute and fine-grained relative ranging information from accessible anchors, the location accuracy achieved significant improvement even with only one or two anchors. It proposes delay-constraint robust semidefinite programming to ensure robustness in the presence of ranging outliers. Low complexity localization techniques are more convenient and popular since they do not rely on the deployment of additional anchor nodes. The chapter presents the displacement and direction estimation via Inertial sensor (INS) and proposes the location optimization approaches for less anchors. It investigates the fine-grained mobile phone localization via delay-constraint robust semidefinite programming and evaluates the system performance via experiment.
