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A Survivability Clustering Algorithm for Ad Hoc Network Based on a Small-World Model

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A Survivability Clustering Algorithm for Ad Hoc Network Based on a Small-World Model

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Zhang, W.; Han, G.; Feng, Y.; Lloret, J.; Shu, L. (2015). A Survivability Clustering Algorithm for Ad Hoc Network Based on a Small-World Model. Wireless Personal Communications. 84(3):1835-1854. doi:10.1007/s11277-015-2518-8

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Metadatos del ítem

Título: A Survivability Clustering Algorithm for Ad Hoc Network Based on a Small-World Model
Autor: Zhang, Wenbo Han, Guangjie Feng, Yongxin Lloret, Jaime Shu, Lei
Entidad UPV: Universitat Politècnica de València. Departamento de Comunicaciones - Departament de Comunicacions
Universitat Politècnica de València. Instituto de Investigación para la Gestión Integral de Zonas Costeras - Institut d'Investigació per a la Gestió Integral de Zones Costaneres
Fecha difusión:
Resumen:
In Ad hoc network, nodes have the characteristics of limited energy, self- organizing and multi-hop. For the purpose of improving the survivability of Ad hoc net- work effectively, this paper proposes a new algorithm ...[+]
Palabras clave: Ad hoc network , Small-world network model , Survivability , EMDWCA
Derechos de uso: Cerrado
Fuente:
Wireless Personal Communications. (issn: 0929-6212 ) (eissn: 1572-834X )
DOI: 10.1007/s11277-015-2518-8
Editorial:
Springer Verlag (Germany)
Versión del editor: http://dx.doi.org/10.1007/s11277-015-2518-8
Código del Proyecto:
info:eu-repo/grantAgreement/Liaoning Province Innovation Group Project//LT2011005/
Agradecimientos:
This paper is sponsored by Qing Lan Project, the New Century Program for Excellent Talents of the Ministry of Education of China, Liaoning province innovation group Project (LT2011005), and the Shenyang Ligong University ...[+]
Tipo: Artículo

References

Qing, D. (2013). A new self-adapt clustering algorithm for Ad hoc. Information & Communications, 9, 8–79.

Anastasi, G., Conti, M., & Di Francesco, M. (2009). Energy conservation in wireless sensor networks: A survey. Ad Hoc Networks, 7, 537–568.

Wu, G., Wang, S., Wang, B., et al. (2012). A novel range-free localization based on regulated neighborhood distance for wireless Ad hoc and sensor networks. Computer Networks, 56, 3581–3593. [+]
Qing, D. (2013). A new self-adapt clustering algorithm for Ad hoc. Information & Communications, 9, 8–79.

Anastasi, G., Conti, M., & Di Francesco, M. (2009). Energy conservation in wireless sensor networks: A survey. Ad Hoc Networks, 7, 537–568.

Wu, G., Wang, S., Wang, B., et al. (2012). A novel range-free localization based on regulated neighborhood distance for wireless Ad hoc and sensor networks. Computer Networks, 56, 3581–3593.

Weifeng, C., & Yuping, L. (2010). An improved clustering algorithm for Ad hoc network. Software Guid, 10, 66–68.

Chen, A., Zhang, L., Xia, X., et al. (2012). Study on energy-heterogeneous clustering algorithm in wireless sensor network. Information System and Network, 1(42), 7–10.

Zhou, Y., Xia, C., Wang, H., & Qi, J. (2009). Research on survivability of mobile Ad-hoc network. Journal of Software Engineering & Applications, 2, 50–54.

Fei, X., & Wen-ye, W. (2010). On the survivability of wireless Ad hoc networks with node misbehaviors and failures. IEEE Transactions on Dependable and Secure Computing, 7(2), 284–299.

Azni, A. H., Ahmad, R., & Noh, Z. (2013). Survivability modeling and analysis of mobile Ad hoc network with correlated node behavior. Procedia Engineering, 53, 435–440.

Mahmoud, M., & Shen, X. (2011). An integrated stimulation and punishment mechanism for thwarting packet dropping attack in multihop wireless networks. IEEE Transaction on Vehicular Technology, 60(8), 3947–3962.

Uster, H., & Lin, H. (2011). Integrated topology control and routing in wireless sensor networks for prolonged network lifetime. Ad Hoc Networks, 9, 835–851.

Guo, S. (2012). A clustering algorithm based on weight value for Ad hoc network. Network and Communication, 2, 41–43.

Yimei, K., et al. (2012). A low-power hierarchical wireless sensor network topology control algorithm. Automation Journal, 4(4), 543–549.

Han, G., Chao, J., Zhang, C., Shu, L., & Li, Q. (2014). The impacts of mobility models on DV-hop based localization in mobile wireless sensor networks. Journal of Network and Computer Applications, 42(6), 70–79.

Konak, A., Buchert, G. E., & Juro, J. (2013). A flocking-based approach to maintain connectivity in mobile wireless Ad hoc networks. Applied Soft Computing, 13, 1284–1291.

Liu, A., Ren, J., Li, X., Chen, Z., & Shen, X. (2012). Design principles and improvement of cost function based energy ware routing algorithms for wireless sensor networks. Computer Networks, 56, 19511967.

Han, G., Jiang, J., Shen, W., Shu, L., & Rodrigues, J. J. P. C. (2013). IDSEP: A novel intrusion detection scheme based on energy prediction in cluster-based wireless sensor networks. IET Information Security, 7(2), 97–105.

Ren, F., Zhang, J., He, T., Lin, C., & Das, S. K. (2011). EBRP: Energy balanced routing protocol for data gathering in wireless sensor networks. IEEE Transaction on Parallel and Distributed System, 22(12), 2391–2405.

Hui, Z., Biao, H., & Qing, D. (2014). A stable and load balanced clustering algorithm for Ad hoc. Information & Communications, 1, 28–29.

Mistra, S., & Thomasinous, P. D. (2010). A simple, least-time and energy efficient routing protocol with one level data aggregation for wireless sensor networks. System and Software, 83, 852860.

Yang, S., Dai, F., Cardei, M. et al. (2005). On multiple point coverage in wireless sensor. In IEEE conference on mobile Ad hoc and sensor systems. Washington, DC, USA: IEEE, pp. 757–764.

Chengfa, L., Guihai, C., Mao, Y., & Jie, W. (2007). An uneven cluster-based routing protocol for wireless sensor networks. Chinese Journal of Computers, 30(1), 27–36.

Wang, Z., Wang, Z., Chen, H., et al. (2013). HierTrack: An energy-efficient cluster-based target tracking system for wireless sensor networks. Journal of Zhejiang University-Science, 14(6), 27–36.

Demigha, O., Hidouci, W. K., & Ahmed, T. (2012). On energy efficiency in collaborative target tracking in wireless sensor network: A review. IEEE Communications Surveys & Tutorials, 99, 1–13.

Xia, S., Haijun, W., & Hongbin, C. (2011). A lower power consumption clustering protocol based on the multi-weight for WSNs. Computer Measurement & Control, 19(9), 2329–2331.

Zhang, Y., Song, R., Chen, Z., et al. (2011). Research on topology control algorithm of mobile sensor networks based on cluster head selection. Chinese Journal of Sensors and Actuators, 11, 1602–1606.

Zhang, D., Zhu, Y., Zhao, C., et al. (2012). A new constructing approach for a weighted topology of wireless sensor networks based on local-world theory for the internet of things. Computers and Mathematics with Applications, 64, 1044–1055.

Liqiang, L., Xiyi, Z., & Ge, Z. (2010). An on-demand weighted clustering algorithm in wireless sensor networks. Computer Applications and Software, 9, 85–87.

Shouhong, Z., Cunhua, Z., & Mingmei, S. (2010). An adaptive distributed weighted clustering algorithm for mobile Ad hoc networks. Journal of Suzhou University of Science and Technology (Natural Science), 6, 43–47.

Yuqing, M., & Xiaoyu, L. I. (2014). Adaptive security weighted clustering algorithm of Ad Hoc network. Computer Engineering and Design, 35(4), 3346–3350.

Jiang, J., Han, G., Wang, F., Shu, L., & Guizani, M. An efficient distributed trust model for wireless sensor networks. IEEE Transactions on Parallel and Distributed Systems. DOI: 10.1109/TPDS.2014.2320505

Xu, X., & Liang, W. (2011). Placing optimal number of sinks in sensor networks for network lifetime maximization. In Proceedings of IEEE ICC ’11, June, pp. 1–6.

Jiayan, W., Li, C., & Kai, M. (2007). Optimal neighboring nodes of small-world wireless sensor networks. Electronic Measurement Technology, 30(4), 202–205.

Maojia, G. (2012). Small world network model for the wireless sensor networks. Network and Communication, 31(20), 57–59.

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