Abstract
The scheme design of data collection for Underwater Acoustic Sensor Networks (UASNs) poses many challenges due to long propagation, high mobility, limited bandwidth, multi-path and Doppler Effect. In this paper, unlike the traditional underwater sensor network architecture (single sink or multi-sink), we proposed a novel underwater sensor cloud system based on fog computing in view of time-critical underwater applications. In such an architecture, fog nodes with great computation and storage capacity are responsible for computing, dimension reduction and redundant removal for data collected from physical sensor nodes, and then transfer the processed and compressed data to surface center sink node. After that, the center sink sends the received data from fog nodes to cloud computing center. In addition, in this paper we present distance difference and waiting area-based routing protocol, called DDWA. Finally, in comparison with RDBF, naive flooding and HH-VBF, we conduct extensive simulations using NS-3 simulator to verify the effectiveness and validity of the proposed data collection scheme in the context of the proposed architecture.
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
Wang, T., Zhang, G., Bhuiyan, M.D.Z.A., et al.: A novel trust mechanism based on Fog Computing in Sensor–Cloud System. Future Gener. Comput. Syst. (2018)
Wang, T., Zeng, J., Lai, Y., et al.: Data collection from WSNs to the cloud based on mobile Fog elements. Future Gener. Comput. Syst. (2017)
Wang, T., Zhou, J., Liu, A., et al.: Fog-based computing and storage offloading for data synchronization in IoT. IEEE Internet Things 6(3), 4272–4282 (2018)
Srimathi, C., Park, S.H., Rajesh, N.: Proposed framework for underwater sensor cloud for environmental monitoring. In: 2013 Fifth International Conference on Ubiquitous and Future Networks (ICUFN), pp. 104–109. IEEE (2013)
Hollinger, G.A., Choudhary, S., Qarabaqi, P., et al.: Underwater data collection using robotic sensor networks. IEEE J. Sel. Areas Commun. 30(5), 899–911 (2012)
Zhang, Y., Chen, Y., Zhou, S., et al.: Dynamic node cooperation in an underwater data collection network. IEEE Sens. J. 16(11), 4127–4136 (2016)
Wang, J., Li, D., Zhou, M., et al.: Data collection with multiple mobile actors in underwater sensor networks. In: 2008 the 28th International Conference on Distributed Computing Systems Workshops, pp. 216–221. IEEE (2008)
Williams, D.P.: AUV-enabled adaptive underwater surveying for optimal data collection. Intel. Serv. Robot. 5(1), 33–54 (2012)
Vasilescu, I., Kotay, K., Rus, D., et al.: Data collection, storage, and retrieval with an underwater sensor network. In: Proceedings of the 3rd International Conference on Embedded Networked Sensor Systems, pp. 154–165. ACM (2005)
Ilyas, N., Alghamdi, T.A., Farooq, M.N., et al.: AEDG: AUV-aided efficient data gathering routing protocol for underwater wireless sensor networks. Procedia Comput. Sci. 52, 568–575 (2015)
Ghoreyshi, S.M., Shahrabi, A., Boutaleb, T.: An efficient AUV-aided data collection in underwater sensor networks. In: 2018 IEEE 32nd International Conference on Advanced Information Networking and Applications (AINA), pp. 281–288. IEEE (2018)
Nicolaou, N., et al.: Improving the robustness of location-based routing for underwater sensor networks. In: OCEANS 2007-Europe. IEEE (2007)
Li, Z., Yao, N., Gao, Q.: Relative distance based forwarding protocol for underwater wireless networks. Int. J. Distrib. Sensor Netw. 10(2), 173089 (2014)
Noh, Y., Lee, U., et al.: VAPR: void-aware pressure routing for underwater sensor networks. IEEE Trans. Mob. Comput. 12(5), 895–908 (2013)
Haitao, Yu., Yao, Nianmin, et al.: WDFAD-DBR: weighting depth and forwarding area division DBR routing protocol for UASNs. Ad Hoc Netw. 37(2), 256–282 (2016)
Coutinho, R.W.L., Boukerche, A., et al.: Geographic and opportunistic routing for underwater sensor networks. IEEE Trans. Comput. 65(2), 548–561 (2016)
Acknowledgments
This work is supported by National Natural Science Foundation of China under Grant No. 41661031, Guangxi Natural Science Foundation under Grant No. 2018GXNSFAA138209 and 2018GXNSFAA294061; Foundation of Guilin University of Technology under Grant No. GUTQDJJ2017; Daqing Normal University Natural Science Fund Project under Grant No. 17zr04.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this paper
Cite this paper
Yu, H., Yao, J., Shen, X., Huang, Y., Jia, M. (2019). Data Collection Scheme for Underwater Sensor Cloud System Based on Fog Computing. In: Wang, G., Feng, J., Bhuiyan, M., Lu, R. (eds) Security, Privacy, and Anonymity in Computation, Communication, and Storage. SpaCCS 2019. Lecture Notes in Computer Science(), vol 11637. Springer, Cham. https://doi.org/10.1007/978-3-030-24900-7_12
Download citation
DOI: https://doi.org/10.1007/978-3-030-24900-7_12
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-24899-4
Online ISBN: 978-3-030-24900-7
eBook Packages: Computer ScienceComputer Science (R0)