Abstract
Due to the limited energy, storage space and computing ability, data fusion is very necessary in Wireless Sensor Networks (WSN). In this paper, a new variable weight based fuzzy data fusion algorithm for WSN is proposed to improve the accuracy and reliability of the global data fusion. In this algorithm, the weight of each cluster head node in global fusion is not fixed. Time delay, data amount and trustworthiness of each cluster head will all affect the final fusion weight. We get the fusion weights by variable weight based fuzzy comprehensive evaluation or fuzzy reasoning. In the variable weight based fuzzy comprehensive evaluation, by increasing the weight of the factor with too low value, we can give prominence to deficiency and the clusters with too long time delay or too small amount or too low trustworthiness will get smaller weights in data fusion. And therefore, the cluster head node with deficiency will have a small influence in global fusion. Simulation shows that this algorithm can obtain a more accurate and reliable fusion results especially when there are data undetected or compromised nodes compared with traditional algorithms.
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References
Yiwei, Z., Hong, N.: Research on the Wireless Sensor Network Database. Computer Engineering and Science 28, 73–74 (2000)
Xu, Y., Heidemann, J., Estrin, D.: Geography-informed energy conservation for ad hoc routing. In: Proceedings of the CM/SIGMOBILE MobiCom, pp. 70–84 (2001)
Wu, K., Dreef, D., Sun, B., Xiao, Y.: Secure data aggregation without persistent cryptographic operations in wireless sensor networks. Ad Hoc Networks 5(1), 100–111 (2007)
Ozdemir, S.: Functional reputation based reliable data aggregation and transmission for wireless sensor networks. Elsevier Comput. Commun. 31(17), 3941–3953 (2005)
Sun, B., Jin, X., Wu, K., Xiao, Y.: Integration of secure in-network aggregation and system monitoring for wireless sensor networks. In: Proceedings of IEEE International Conference on Communications, pp. 1466–1471 (2007)
Sun, B., Chand, N., Wu, K., Xiao, Y.: Change-point monitoring for secure in-network aggregation in wireless sensor networks. In: Proceedings of IEEE Global Telecommunications Conference, IEEE GLOBECOM, pp. 936–940 (2007)
Lotfinezhad, M., Liang, B.: Energy efficient clustering in sensor networks with mobile agents. In: Proc of IEEE Conf. on Wireless Communications and Networking, pp. 187–192. IEEE Computer Society, New York (2005)
Ganeriwal, S., Srivastava, M.B.: Reputation-based framework for high integrity sensor networks. In: Proceedings of the Second ACM Workshop on Security of Ad Hoc and Sensor Networks, Washington DC, pp. 66–77 (2004)
Boukerch, A., Xu, L., Khatib, E.L.: Trust-based security for wireless ad hoc and sensor networks. Computer Communications 30, 2413–2427 (2007)
Liu, K., Nael, G., Kyoung, A.: Location verification and trust management for resilient geographic routing. J. Parallel Distrib. Comput. 67, 215–228 (2007)
Cam, H., Ozdemir, S., Nair, P., Muthuavinashiappan, D., Sanli, H.O.: Energy-efficient and secure pattern based data aggregation for wireless sensor networks. Comput. Commun. 29(4), 446–455 (2006)
Wang, X., Wang, S.: Jiang.A.: Optimized deployment strategy of mobile agent s in wireless sensor networks. In: The 6th Int. Conf. on Intelligent System Design and Applications, pp. 893–898. IEEE Computer Society, Los Alamitos (2006)
Gracanin, D.: A service- centric model for wireless sensor networks. IEEE Journal on Selected Areas in Communications 23, 159–166 (2005)
Zuzeng, P., Wenyu, S.: Fuzzy Mathematics and its application, pp. 200–210. Wuhan University Press, China (2007)
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Wang, Q., Liao, H., Wang, K., Sang, Y. (2011). A Variable Weight Based Fuzzy Data Fusion Algorithm for WSN. In: Hsu, CH., Yang, L.T., Ma, J., Zhu, C. (eds) Ubiquitous Intelligence and Computing. UIC 2011. Lecture Notes in Computer Science, vol 6905. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23641-9_39
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DOI: https://doi.org/10.1007/978-3-642-23641-9_39
Publisher Name: Springer, Berlin, Heidelberg
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