Advances in Vehicular Ad-hoc Networks (VANETs): challenges and road-map for future development

Recent advances in wireless communication technologies and auto-mobile industry have triggered a significant research interest in the field of vehicular ad-hoc networks (VANETs) over the past few years. A vehicular network consists of vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communications supported by wireless access technologies such as IEEE 802.11p. This innovation in wireless communication has been envisaged to improve road safety and motor traffic efficiency in near future through the development of intelligent transportation system (ITS). Hence, governments, auto-mobile industries and academia are heavily partnering through several ongoing research projects to establish standards for VANETs. The typical set of VANET application areas, such as vehicle collision warning and traffic information dissemination have made VANET an interesting field of mobile wireless communication. This paper provides an overview on current research state, challenges, potentials of VANETs as well as the ways forward to achieving the long awaited ITS

Adaptive Multi-level Explicit Congestion Notification

We propose Adaptive Multi-level ECN (AMECN), a new TCP congestion scheme, as an extension to Multi-level Explicit Congestion Notification (MECN). AMECN allows network operators to achieve high throughput and low delays. However, AMECN performance depends its parameter settings and the level of congestion, hence, no guarantees can be given about delay. To achieve a predictable average delay with AMECN, constant tuning of the parameters to adjust to current traffic conditions is needed. We show how to tune AMECN parameters. The analysis of our simulations shows that Adaptive MECN performs better than Adaptive RED