Distributed Reinforcement Learning Approach for Vehicular Ad Hoc Networks

نویسندگان

  • Celimuge Wu
  • Kazuya Kumekawa
  • Toshihiko Kato
چکیده

In Vehicular Ad hoc Networks (VANETs), general purpose ad hoc routing protocols such as AODV cannot work efficiently due to the frequent changes in network topology caused by vehicle movement. This paper proposes a VANET routing protocol QLAODV (QLearning AODV) which suits unicast applications in high mobility scenarios. QLAODV is a distributed reinforcement learning routing protocol, which uses a Q-Learning algorithm to infer network state information and uses unicast control packets to check the path availability in a real time manner in order to allow Q-Learning to work efficiently in a highly dynamic network environment. QLAODV is favored by its dynamic route change mechanism, which makes it capable of reacting quickly to network topology changes. We present an analysis of the performance of QLAODV by simulation using different mobility models. The simulation results show that QLAODV can efficiently handle unicast applications in VANETs. key words: vehicular ad hoc networks, routing protocol, Q-Learning, AODV

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

A New Routing Algorithm for Vehicular Ad-hoc Networks based on Glowworm Swarm Optimization Algorithm

Vehicular ad hoc networks (VANETs) are a particular type of Mobile ad hoc networks (MANET) in which the vehicles are considered as nodes. Due to rapid topology changing and frequent disconnection makes it difficult to design an efficient routing protocol for routing data among vehicles. In this paper, a new routing protocol based on glowworm swarm optimization algorithm is provided. Using the g...

متن کامل

RLAB: A Reinforcement Learning-based Adaptive Broadcasting for Vehicular Ad-hoc Networks

Effective context-aware broadcasting of information to the areas of interest (AoI) is a challenging problem in vehicular ad-hoc networks. It is usually assumed that the information about these AoI are a priori known, either by a centralized source of information or by the entire set of vehicles. In this paper, we propose a self-adaptive broadcast scheme based on distributed reinforcement learni...

متن کامل

Survey the Security Function of Integration of vehicular ad hoc Networks with Software-defiend Networks

In recent years, Vehicular Ad Hoc Networks (VANETs) have emerged as one of the most active areas in the field of technology to provide a wide range of services, including road safety, passenger's safety, amusement facilities for passengers and emergency facilities. Due to the lack of flexibility, complexity and high dynamic network topology, the development and management of current Vehicular A...

متن کامل

A New Hybrid Routing Algorithm based on Genetic Algorithm and Simulated Annealing for Vehicular Ad hoc Networks

In recent years, Vehicular Ad-hoc Networks (VANET) as an emerging technology have tried to reduce road damage and car accidents through intelligent traffic controlling. In these networks, the rapid movement of vehicles, topology dynamics, and the limitations of network resources engender critical challenges in the routing process. Therefore, providing a stable and reliable routing algorithm is ...

متن کامل

Routing Improvement for Vehicular Ad Hoc Networks (VANETs) Using Nature Inspired Algorithms

are a subset of MANETs in which vehicles are considered as network clients. These networks have been created to communicate between vehicles and traffic control on the roads. have similar features to MANETs and their main special property is the high-speed node mobility which makes a quick change of the network. The rapid change of network topology is a major challenge in routing. One of the we...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:
  • IEICE Transactions

دوره 93-B  شماره 

صفحات  -

تاریخ انتشار 2010