A Cognitive Self-Organising Clustering Algorithm for Urban Scenarios-Reference-Cited by-同舟云学术

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A Cognitive Self-Organising Clustering Algorithm for Urban Scenarios

Published:2016-06-23 Issue:4 Volume:90 Page:1763-1798
ISSN:0929-6212
Container-title:Wireless Personal Communications
language:en
Short-container-title:Wireless Pers Commun

Author:

Sucasas Victor,Saghezchi Firooz B.,Radwan Ayman,Marques Hugo,Rodriguez Jonathan,Vahid Seiamak,Tafazolli Rahim

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Computer Science Applications

Link

http://link.springer.com/content/pdf/10.1007/s11277-016-3423-5.pdf

Reference38 articles.

1. Sampigethaya, K., Li, M., Huang, L., & Poovendran, R. (2007). Amoeba: Robust location privacy scheme for vanet. IEEE Journal on Selected Areas in Communications, 25(8), 1569–1589.

2. Remy, G., Senouci, S. M., Jan, F., & Gourhant, Y. (2012). Lte4v2x—Collection, dissemination and multi-hop forwarding. In 2012 IEEE international conference on communications (ICC) (pp. 120–125).

3. Afsar, M. M., & Tayarani-N, M.-H. (2014). Clustering in sensor networks: A literature survey. Journal of Network and Computer Applications, 46, 198–226.

4. Gao, T., Jin, R. C., Song, J. Y., TaiBing, X., & Wang, L. D. (2012). Energy-efficient cluster head selection scheme based on multiple criteria decision making for wireless sensor networks. Wireless Personal Communications, 63(4), 871–894.

5. Cheng, H., Cao, J., Chen, H.-H., & Zhang, H. (2008). Grls: Group-based location service in mobile ad hoc networks. IEEE Transactions on Vehicular Technology, 57(6), 3693–3707.

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1. A survey on clustering routing protocols in wireless sensor networks;Sensor Review;2017-01-16

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