Clustering algorithm for internet of vehicles (IoV) based on dragonfly optimizer (CAVDO)-Reference-Cited by-同舟云学术

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Clustering algorithm for internet of vehicles (IoV) based on dragonfly optimizer (CAVDO)

Published:2018-03-12 Issue:9 Volume:74 Page:4542-4567
ISSN:0920-8542
Container-title:The Journal of Supercomputing
language:en
Short-container-title:J Supercomput

Author:

Aadil Farhan,Ahsan Waleed,Rehman Zahoor Ur,Shah Peer Azmat,Rho Seungmin,Mehmood Irfan

Publisher

Springer Science and Business Media LLC

Subject

Hardware and Architecture,Information Systems,Theoretical Computer Science,Software

Link

http://link.springer.com/article/10.1007/s11227-018-2305-x/fulltext.html

Reference58 articles.

1. Taherkhani N, Pierre S (2016) Centralized and localized data congestion control strategy for vehicular ad hoc networks using a machine learning clustering algorithm. IEEE Trans Intell Transp Syst 17:3275–3285

2. Ucar S, Ergen SC, Ozkasap O (2016) Multihop-cluster-based IEEE 802.11 p and LTE hybrid architecture for VANET safety message dissemination. IEEE Trans Veh Technol 65:2621–2636

3. Chen M, Zhang Y, Hu L, Taleb T, Sheng Z (2015) Cloud-based wireless network: virtualized, reconfigurable, smart wireless network to enable 5G technologies. Mobile Networks and Applications 20:704–712

4. Li G, Boukhatem L, Wu J (2017) Adaptive quality-of-service-based routing for vehicular ad hoc networks with ant colony optimization. IEEE Trans Veh Technol 66:3249–3264

5. Barnett AH, Betcke T (2008) Stability and convergence of the method of fundamental solutions for Helmholtz problems on analytic domains. J Comput Phys 227:7003–7026

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