Abstract
The heterogeneity of node distribution of large-scale wireless sensor networks and its vulnerability to attack bring great challenges to the design of routing protocols. Under the uneven condition, balance network node energy consumption, prolong the network life cycle and improve the network security have become the main goal of designing routing protocols. In this paper, we propose a low-energy security-enhanced routing protocol based on DBSCAN partition (LESERP-DP). The DBSCAN algorithm is used to optimize the clustering in the case of non-uniform nodes distribution, and the key distribution mechanism is designed to enhance the anti-attack ability of the protocol. The simulation results show that the routing protocol is excellent in energy consumption and to a certain extent, reduces the threat of node capture to sensor networks.
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References
Li, C., Zhang, H., Hao, B., et al.: A survey on routing protocols for large-scale wireless sensor networks. Sensors 11(4), 3498–3526 (2011)
Gu, B., Sheng, V.S.: A robust regularization path algorithm for \(\upsilon \)-support vector classification. IEEE Trans. Neural Netw. Learn. 28(5), 1241–1248 (2017)
Chen, Y., Hao, C., Wu, W., et al.: Robust dense reconstruction by range merging based on confidence estimation. Sci. China Inf. Sci. 59(9), 092103 (2016)
Kong, Y., Zhang, M., Ye, D.: A belief propagation-based method for task allocation in open and dynamic cloud environments. Knowl. Based. Syst. 115, 123–132 (2017)
Heinzelman, W.R., Chandrakasan, A., Balakrishnan, H.: Energy-efficient communication protocol for wireless microsensor networks. In: 32rd Hawaii International Conference on System Sciences, pp. 1–10. IEEE, Hawaii (2000)
Soro, S., Heinzelman, W.B.: Prolonging the lifetime of wireless sensor networks via unequal clustering. In: 19th IEEE International Parallel and Distributed Processing Symposium, p. 236. IEEE, Denver (2000)
Li, C., Chen, G., Ye, M., et al.: An uneven cluster-based routing protocol for wireless sensor networks. Chin. J. Comput. 30(1), 27–36 (2007)
Logambigai, R., Kannan, A.: Fuzzy logic based unequal clustering for wireless sensor networks. Wirel. Netw. 22(3), 945–957 (2016)
Al-Karaki, J.N., Kamal, A.E.: Routing techniques in wireless sensor networks: a survey. IEEE Wirel. Commun. 11(6), 6–28 (2004)
Pan, Z., Lei, J., Zhang, Y., et al.: Fast motion estimation based on content property for low-complexity H. 265/HEVC encoder. IEEE Trans. Broadcast. 62(3), 675–684 (2016)
Zhang, Y., Sun, X., Wang, B.: Efficient algorithm for k-barrier coverage based on integer linear programming. China Commun. 13(7), 16–23 (2016)
Pan, Z., Zhang, Y., Kwong, S.: Efficient motion and disparity estimation optimization for low complexity multiview video coding. IEEE Trans. Broadcast. 61(2), 166–176 (2015)
Quang, V.T., Miyoshi, T.: Adaptive routing protocol with energy efficiency and event clustering for wireless sensor networks. IEICE Trans. Commun. 91(9), 2795–2805 (2008)
Farooq, M.O., Dogar, A.B., Shah, G.A.: MR-LEACH: multi-hop routing with low energy adaptive clustering hierarchy. In: 4th International Conference on Sensor Technologies and Applications, pp. 262–268. IEEE, Washington (2010)
Xu, F., Zhu, W., Xu, J., et al.: A low energy adaptive clustering multi-hop routing protocol based on fuzzy decision. J. Intell. Fuzzy Syst. 29(6), 2547–2554 (2015)
Tanachaiwiwat, S., Dave, P., Bhindwale, R., et al.: Poster abstract secure locations: routing on trust and isolating compromised sensors in location-aware sensor networks. In: 1st International Conference on Embedded Networked Sensor Systems, pp. 324–325. ACM, Los Angeles (2003)
Zhou, J., Li, C., Cao, Q., et al.: An intrusion-tolerant secure routing protocol with key exchange for wireless sensor network. In: 2008 IEEE International Conference on Information and Automation, pp. 1547–1552. IEEE, Hunan (2008)
Wei, L., Geng, Y.: Energy-saving data aggregation algorithm for protecting privacy and integrity. J. Comput. Appl. 33(9), 2505–2510 (2013)
Altisen, K., Devismes, S., Jamet, R., et al.: SR3: secure resilient reputation-based routing. Wirel. Netw. 19(14), 1–23 (2013)
Alrajeh, N.A., Alabed, M.S., Elwahiby, M.S.: Secure ant-based routing protocol for wireless sensor network. Int. J. Distrib. Sens. Netw. 9(6), 761–762 (2013)
Wang, W., Wu, Y., Tang, C., et al.: Adaptive density-based spatial clustering of applications with noise (DBSCAN) according to data. In: 17th International Conference on Machine Learning and Cybernetics, pp. 445–451. IEEE, Singapore (2015)
Acknowledgments
This work is supported by China Aviation Science Foundation (Grant No. 20101952021), Fundamental Research Funds for Central Universities (Grant No. NZ2013306) and Key Project supported by Medical Science and Technology Development Foundation, Nanjing Department of Health (Grant No. YKK15170).
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Hou, Y., Xu, F., Ding, R. (2017). Low-Energy Security-Enhanced Routing Protocol Based on DBSCAN Partition. In: Sun, X., Chao, HC., You, X., Bertino, E. (eds) Cloud Computing and Security. ICCCS 2017. Lecture Notes in Computer Science(), vol 10602. Springer, Cham. https://doi.org/10.1007/978-3-319-68505-2_30
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DOI: https://doi.org/10.1007/978-3-319-68505-2_30
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