Accès libre

Genetic Algorithm Based Clustering for Large-Scale Sensor Networks

Cybernetics and Information Technologies's Cover Image
Cybernetics and Information Technologies
Special Issue on Logistics, Informatics and Service Science
À propos de cet article

Citez

1. Younis, M. Krunz, S. Ramasubramanian. Node Clustering in Wireless Sensor Networks: Recent Developments and Deployment Challenges. – IEEE Network, Vol. 20, May-June 2006, No 3, pp. 20-25.10.1109/MNET.2006.1637928Search in Google Scholar

2. Al-Karaki, J. N., A. E. Kamal. Routing Techniques in Wireless Sensor Networks: A Survey. – IEEE Wireless Commun., Vol. 11, December 2004, No 6, pp. 6-28.10.1109/MWC.2004.1368893Search in Google Scholar

3. Heinzelman, W. B., A. P. Chandrakasan, H. Balakrishnan. An Application-Specific Protocol Architecture for Wireless Microsensor Networks. – IEEE Trans. Wireless Commun., Vol. 1, October 2002, No 4, pp. 660-670.10.1109/TWC.2002.804190Search in Google Scholar

4. Younis, S. Fahmy. HEED: A Hybrid Energy-Efficient Distributed Clustering Approach for Ad Hoc Sensor Networks. – IEEE Trans. Mob. Comput., Vol. 3, 2004, No 4, pp. 366-379.10.1109/TMC.2004.41Search in Google Scholar

5. Chen, G., C. Li, M. Ye, J. Wu. An Unequal Cluster-Based Routing Protocol in Wireless Sensor Networks. – Wireless Networks, Vol. 15, February 2009, No 2, pp. 193-207.10.1007/s11276-007-0035-8Search in Google Scholar

6. Thakkar, A., K. Kotecha. Cluster Head Election for Energy and Delay Constraint Applications of Wireless Sensor Network. – IEEE Sensors Journal, Vol. 14, August 2014, No 8, pp. 2658-2664.10.1109/JSEN.2014.2312549Search in Google Scholar

7. Liao, Y., H. Qi, W. Li. Load-Balanced Clustering Algorithm with Distributed Self-Organization for Wireless Sensor Networks. – IEEE Sensors Journal, Vol. 13, May 2013, No 5, pp. 1498-1506.10.1109/JSEN.2012.2227704Search in Google Scholar

8. Tarhani, M., Y. S. Kavian, S. Siavoshi. SEECH: Scalable Energy Efficient Clustering Hierarchy Protocol in Wireless Sensor Networks. – IEEE Sensors Journal, Vol. 14, November 2014, No 11, pp. 3944-3954.10.1109/JSEN.2014.2358567Search in Google Scholar

9. Hsu, T.-H., P.-Y. Yen. Adaptive Time Division Multiple Access-Based Medium Access Control Protocol for Energy Conserving and Data Transmission in Wireless Sensor Networks. – Communications, IET, Vol. 5, December 2011, No 18, pp. 2662-2672.10.1049/iet-com.2011.0088Search in Google Scholar

10. Shafiullah, G. M., S. A. Azad, A. B. M. S. Ali. Energy-Efficient Wireless MAC Protocols for Railway Monitoring Applications. – Intelligent Transportation Systems, IEEE Transactions, Vol. 14, June 2013, No 2, pp. 649-659.10.1109/TITS.2012.2227315Search in Google Scholar

11. Gherairi, S., S. Ouni, F. Kamoun. Optimized TDMA Multi-Frequency Scheduling Access Protocols for Sensor Networks. – In: Proc. of 2011 International Conference on Communications, Computing and Control Applications (CCCA), March 2011, pp. 1-6.10.1109/CCCA.2011.6031412Search in Google Scholar

12. Elhoseny, M., X. Yuan, Z. Yu, C. Mao, H. El-Minir, A. Riad. Balancing Energy Consumption in Heterogeneous Wireless Sensor Networks Using Genetic Algorithm. – Communications Letters, IEEE, 2014, No 99.10.1109/LCOMM.2014.2381226Search in Google Scholar

13. Wu, Y., W. B. Liu. Routing Protocol Based on Genetic Algorithm for Energy Harvesting-Wireless Sensor Networks. – Wireless Sensor Systems, IET, Vol. 3, June 2013, No 2, pp. 112-118.10.1049/iet-wss.2012.0117Search in Google Scholar

eISSN:
1314-4081
Langue:
Anglais
Périodicité:
4 fois par an
Sujets de la revue:
Computer Sciences, Information Technology