Biblio

With the advent of the electric vehicle market, the problem of locating a vehicle is becoming more and more important. Smart roads are creating, where the car control system can work without a person - communicating with the elements on the road. The standard technologies, such as GPS, can't always accurately determine the location, and not all vehicles have a GPS-module. It is very important to build an effective secure communication protocol between the vehicle and the base stations on the road. In this paper we consider different methods of location determination, propose the improved communicating protocol between the vehicle and the base station.

Highly accurate indoor localization of smartphones is critical to enable novel location based features for users and businesses. In this paper, we first conduct an empirical investigation of the suitability of WiFi localization for this purpose. We find that although reasonable accuracy can be achieved, significant errors (e.g., 6 8m) always exist. The root cause is the existence of distinct locations with similar signatures, which is a fundamental limit of pure WiFi-based methods. Inspired by high densities of smartphones in public spaces, we propose a peer assisted localization approach to eliminate such large errors. It obtains accurate acoustic ranging estimates among peer phones, then maps their locations jointly against WiFi signature map subjecting to ranging constraints. We devise techniques for fast acoustic ranging among multiple phones and build a prototype. Experiments show that it can reduce the maximum and 80-percentile errors to as small as 2m and 1m, in time no longer than the original WiFi scanning, with negligible impact on battery lifetime.