ABSTRACT
This chapter proposes two cross-provider cooperation algorithms, Linear regression and locally cooperative embedding (LCE), capable of obtaining a combined location estimation that is more accurate than the estimations made by any one of the individual providers. This cross-provider architecture should enable a future computing environment. LCE dynamically embeds the cooperation and iteratively refines the positioning process according to each provider's local accuracy surrounding the user. The location information of users has become a key issue for many location-based services in both indoor and outdoor environments. The chapter presents another novel algorithm which takes the provider's local accuracy into account such that the cooperation can be more intelligently constructed. Positioning methods generally include device-based and network-based architectures, depending on whether they adopt an integrated or stand-alone positioning infrastructure. For device-based positioning, the mobile device determines its location using signals it receives while protecting privacy of users.
