Energy- aware Real-Time Route Prediction Framework for Embedded Systems

Abstract

Internet of Things (IOT) is becoming an important part of our lives as it integrates computing devices embedded in everyday objects and Vehicle of Things is a major part of IOT. This research is focused on trac-aware op- timal route prediction via ad hoc vehicular communication for developing countries like Pakistan where no specialized road side infrastructures and sensors are available. Vehicular ad hoc network (VANET) is created via Wi- Fi direct using smart phones which overcomes the requirements of special road side tra c gathering information sensors and cellular data based inter- net cloud, as used in developed countries like US, China, Japan. O ine maps data-set was generated for Islamabad Capital Territory and different route prediction algorithms are implemented to avoid congestion and can easily be executed over embedded devices. Results of our framework are based on average travel time and cpu, memory usage.