Abstract
With the integration of WSNs and cloud computing, sensor-cloud system becomes popular in many fields where the physical nodes can be shared with multiple users. However, when a physical sensor node receives multiple service commands simultaneously, there are some service collisions, namely, coupling problem. This coupling problem leads to the failure of services. It is necessary to solve this problem, thus the reliability of system can be improved. In this paper, we propose a fog-based model and extend the classical Hungarian algorithm. The fog layer acts as a buffer and controller between the wireless sensor networks layer and the cloud layer in this model, where we use the classical Hungarian algorithm in the first matching and then schedule idle resources to achieve optimal matching. Experimental results and theoretical analysis show that our method can efficiently solve the coupling problem and increase the resource utilization and resource reliability.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Li, S., Da Xu, L., Zhao, S.: The internet of things: a survey. Inf. Syst. Front. 17(2), 243–259 (2015)
Wortmann, F., Flüchter, K.: Internet of things [J]. Business & Information Systems Engineering 57(3), 221–224 (2015)
Zanella, A., Bui, N., Castellani, A., et al.: Internet of things for smart cities. IEEE Internet Things J. 1(1), 22–32 (2014)
Al-Anbagi, I., Erol-Kantarci, M., Mouftah, H.T.: A survey on cross-layer quality-of-service approaches in WSNs for delay and reliability-aware applications. IEEE Commun. Sur. Tutorials 18(1), 525–552 (2016)
Wang, T., Wu, Q., Wen, S., et al.: Propagation modeling and defending of a mobile sensor worm in wireless sensor and actuator networks. Sensors 17(1), 139 (2017)
Wang, T., Li, Y., Wang, G., et al.: Sustainable and efficient data collection from WSNs to cloud. IEEE Trans. Sustain. Comput. PP(99), 1 (2017)
Zeng, J., Wang, T., Jia, W., et al.: A survey on sensor-cloud. J. Comput. Res. Dev. 54(5), 925–939 (2017)
Ali, M., Khan, S.U., Vasilakos, A.V.: Security in cloud computing: opportunities and challenges. Inf. Sci. 305, 357–383 (2015)
Botta, A., Donato, W.D., Persico, V., et al.: Integration of cloud computing and internet of things: a survey. Future Gener. Comput. Syst. 56(C), 684–700 (2016)
Wang, T., Zeng, J., Bhuiyan, M.Z.A., et al.: Trajectory privacy preservation based on a fog structure in cloud location services. IEEE Access PP(99), 1 (2017)
Henze, M., Hummen, R., Matzutt, R., Wehrle, K.: A trust point-based security architecture for sensor data in the cloud. In: Krcmar, H., Reussner, R., Rumpe, B. (eds.) Trusted Cloud Computing, pp. 77–106. Springer, Cham (2014). https://doi.org/10.1007/978-3-319-12718-7_6
Sajid, A., Abbas, H., Saleem, K.: Cloud-assisted IoT-based SCADA systems security: a review of the state of the art and future challenges. IEEE Access 4, 1375–1384 (2016)
Henze, M., Hermerschmidt, L., Kerpen, D., et al.: A comprehensive approach to privacy in the cloud-based Internet of things. Future Gener. Comput. Syst. 56, 701–718 (2016)
Zhu, H., Liu, D., Zhang, S., et al.: Solving the many to many assignment problem by improving the Kuhn-Munkres algorithm with backtracking. Theor. Comput. Sci. 618, 30–41 (2016)
Amponsah, S.K., Otoo, D., Salhi, S., et al.: Proposed heuristic method for solving assignment problems. Am. J. Oper. Res. 6(06), 436 (2016)
Kuhn, H.W.: Statement for naval research logistics: “the Hungarian method for the assignment problem’’. J. R. Stat. Soc. 64(4), 611–633 (2015)
Rodriguez, M.A., Buyya, R.: Deadline based resource provisioning and scheduling algorithm for scientific workflows on clouds. IEEE Trans. Cloud Comput. 2(2), 222–235 (2014)
Bhoi, U., Ramanuj, P.N.: Enhanced max-min task scheduling algorithm in cloud computing. Int. J. Appl. Innov. Eng. Manag. (IJAIEM) 2(4), 259–264 (2013)
Vizuete-Luciano, E., Merigó, J.M., Gil-Lafuente, A.M., et al.: Decision making in the assignment process by using the Hungarian algorithm with OWA operators. Technol. Econ. Dev. Econ. 21(5), 684–704 (2015)
Kim, T., Dong, M.: An iterative Hungarian method to joint relay selection and resource allocation for D2D communications. IEEE Wirel. Commun. Lett. 3(6), 625–628 (2014)
Acknowledgments
Above work was supported in part by grants from the National Natural Science Foundation (NSF) of China under Grant Nos. 61772148 and 61672441 and the Foster Project for Graduate Student in Research and Innovation of Huaqiao University (No. 17013083005).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2017 Springer International Publishing AG
About this paper
Cite this paper
Liang, Y., Wang, T., Bhuiyan, M.Z.A., Liu, A. (2017). Research on Coupling Reliability Problem in Sensor-Cloud System. In: Wang, G., Atiquzzaman, M., Yan, Z., Choo, KK. (eds) Security, Privacy, and Anonymity in Computation, Communication, and Storage. SpaCCS 2017. Lecture Notes in Computer Science(), vol 10658. Springer, Cham. https://doi.org/10.1007/978-3-319-72395-2_43
Download citation
DOI: https://doi.org/10.1007/978-3-319-72395-2_43
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-72394-5
Online ISBN: 978-3-319-72395-2
eBook Packages: Computer ScienceComputer Science (R0)