SANA: Safety-aware navigation application for pedestrian protection in vehicular networks

This paper proposes a Safety-Aware Navigation Application (SANA) for pedestrian protection in vehicular networks. Because the distracted walking by the smartphone usage in a street or crossroad usually causes road accidents and casualties, it is necessary to design an energy efficient safety service for a smartphone to warn a pedestrian of possible danger. SANA provides smartphone users with such a safety service. This service calculates the collision possibility that is modeled from the travel delay (i.e., moving time from a position to another position) of both a vehicle and a pedestrian. It also generates an alarm to warn both the vehicle and pedestrian that are relevant to a possible collision. It considers the encounter time of the vehicle and pedestrian for maximum sleeping time to save energy. This paper proposes a scheduling algorithm for optimizing such a sleeping time, considering the filtering of irrelevant smartphones to minimize false positive alarms. The results of the simulation prove that our SANA outperforms legacy schemes in terms of energy consumption and alarm delay (i.e., time difference between the expected alarm time and the actual alarm time).