Abstract
In the wireless sensor networks, the hardware limitations of sensor nodes cause high transmission failure rate. We usually increase the density of nodes to improve the quality of information transmission. However, it is difficult for the limited energy supply, storage, and communication bandwidth to transfer large amount of redundant sensory data. So we use data fusion technology to remove the redundant data as much as possible before the data transmission. Data fusion becomes a research hotspot in recent years. In this paper we propose a multilayer and multi-agent data fusion mode, and analyze the proposed mode performance in three aspects: hops, energy consumption and network delay.The simulation experiments show that, if reasonably suitable parameters, such as the network scale, the number and size of agents, the data processing cost, are selected, the mobile agent mode is much better than the client/server mode.
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References
Iyer, R., Kleinrock, L.: QoS control for sensor networks. In: IEEE International Conference on Communications, ICC 2003, vol. 1, pp. 517–521. IEEE (2003)
Chen, Y., Shu, J., Zhang, S., Liu, L., Sun, L.: Data fusion in wireless sensor networks. In: Second International Symposium on Electronic Commerce and Security, ISECS 2009. vol. 2, pp. 504–509. IEEE (2009)
Qi, H., Xu, Y., Wang, X.: Mobile-agent-based collaborative signal and information processing in sensor networks. Proc. IEEE 91(8), 1172–1183 (2003)
Xu, Y., Qi, H.: Mobile agent migration modeling and design for target tracking in wireless sensor networks. Ad Hoc Netw. 6(1), 1–16 (2008)
Tu, Z., Wang, Q., Shen, Y.: Optimal mobile agent routing with fusion cost in wireless sensor network. In: IEEE Instrumentation and Measurement Technology Conference, I2MTC 2009, pp. 46–50. IEEE (2009)
Yuan, L., Wang, X.: Study on data gathering algorithm based on mobile agent and WSN for emergent event monitoring. In: International Symposium on Computer Network and Multimedia Technology, CNMT 2009, pp. 1–5. IEEE(2009)
Gavalas, D., Mpitziopoulos, A., Pantziou, G., Konstantopoulos, C.: An approach for near-optimal distributed data fusion in wireless sensor networks. Wireless Netw. 16(5), 1407–1425 (2010)
Zhang, S., Yang, H.L., Xiong, H.J.: Hierarchical Data Fusion in WSN Based on Mobile Agent. Appl. Mech. Mater. 513, 1154–1159 (2014)
Acknowledgement
This work is partially supported by the National Natural Science Foundation of China (Grant No.61162002, 61364023) and the Foundation of Jiang Xi Provincial Department of Education (Grant No. GJJ12428, GJJ13516).
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Zhang, S., Liu, X., Bao, X., Song, W.W. (2015). Multilayer and Multi-agent Data Fusion in WSN. In: Benatallah, B., et al. Web Information Systems Engineering – WISE 2014 Workshops. WISE 2014. Lecture Notes in Computer Science(), vol 9051. Springer, Cham. https://doi.org/10.1007/978-3-319-20370-6_17
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DOI: https://doi.org/10.1007/978-3-319-20370-6_17
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