Improving the gps location quality using a multi-agent architecture based on social collaboration

Abstract

Smartphones are very popular, every day these devices are used by millions of people for different purposes. One of the most popular smartphone services is the GPS geolocation, many different mobile applications use the location information in their business logic, such as: calculate routes, locate nearby places, locate people, etc. Obtaining a good quality GPS location can be a problem in some cities and places, since the coverage of GPS location is not always optimal, because of GPS signal is not always optimal. The quality of the GPS signal obtained at each moment may depend on many factors, mobile device technical characteristics, environmental factors, etc. This paper presents an approach to improve the quality of the GPS location applied multi-agent architecture where people’s smartphones running intelligent agents can cooperate among them locally. The agents using a Wi-Fi Direct 2p2 communication to share the locations, then each agent analyzes the location parameters to calculate the location with higher quality level.