Distributed Reinforcement Learning Approach for Vehicular Ad Hoc Networks

Author:

WU Celimuge1,KUMEKAWA Kazuya1,KATO Toshihiko1

Affiliation:

1. Department of Information Network Science, Graduate School of Information Systems, University of Electro-Communications

Publisher

Institute of Electronics, Information and Communications Engineers (IEICE)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Software

Reference28 articles.

1. [1] S. Chaabouni, M. Frikha, and M. Meincke, “Traffic models for inter-vehicle communications,” Proc. Second International Conf. on Inf. and Commun. Technologies, pp.773-778, Damascus, Syria, April 2006.

2. [2] C.V. Jasmine, C. Wai, A. Onur, and C. Shengwei, “Survey of routing protocols for inter-vehicle communications,” Proc. 3rd Annual International Conf. on Mobile and Ubiquitous Systems, pp.1-5, San Jose, USA, July 2006.

3. [3] F. Li and Y. Wang, “Routing in vehicular ad hoc networks: A survey,” Vehicular Technology Magazine, vol.2, no.2, pp.12-22, June 2007.

4. A survey on position-based routing in mobile ad hoc networks

5. Geographical routing using partial information for wireless ad hoc networks

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