Proceedings of the First International Conference on Information Science and Electronic Technology

Multi-vehicle Ad-hoc Network Routing Algorithm with Ant and Quantum Particle Swarm Optimization Combined

Authors
Zhiping Wan
Corresponding Author
Zhiping Wan
Available Online March 2015.
DOI
10.2991/iset-15.2015.11How to use a DOI?
Keywords
Vehicle self-organizing network, More routing algorithm, Ant colony, Quantum-behaved particle swarm
Abstract

In order to improve data transfer efficiency of the vehicle self-organizing networks and reduce end transmission delay, this paper presents a Multi-vehicle ad-hoc network routing algorithm with Ant and quantum particle swarm optimization combined (AQVT). The algorithm based on the thinking of ant colony algorithm that can find the optimal path, through distance relationship between vehicle and roadside access point and vehicle location information to as measures of ant search path, to find the optimal vehicles network routing. and uses the idea of QPSO algorithm that can global search to enhance the global convergence of the algorithm. Experimental results show that, compared MROFDM algorithm and DRIP algorithm, AQVT algorithm can achieve higher data delivery ratio and obtain a lower-end latency.

Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the First International Conference on Information Science and Electronic Technology
Series
Advances in Computer Science Research
Publication Date
March 2015
ISBN
978-94-62520-50-9
ISSN
2352-538X
DOI
10.2991/iset-15.2015.11How to use a DOI?
Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Zhiping Wan
PY  - 2015/03
DA  - 2015/03
TI  - Multi-vehicle Ad-hoc Network Routing Algorithm with Ant and Quantum Particle Swarm Optimization Combined
BT  - Proceedings of the First International Conference on Information Science and Electronic Technology
PB  - Atlantis Press
SP  - 41
EP  - 44
SN  - 2352-538X
UR  - https://doi.org/10.2991/iset-15.2015.11
DO  - 10.2991/iset-15.2015.11
ID  - Wan2015/03
ER  -