Abstract
In this paper, we propose a method for efficiently storing sensor data acquired by mobile nodes in a participatory sensing. Our proposed method constructs a location-based P2P network using sensor devices which are ubiquitously deployed at fixed locations, and stores sensor data obtained by mobile nodes in a device (peer). In addition, our proposed method suppresses the deviation of loads for storing data among peers by dynamically assigning the area for each peer, where the corresponding peer has charge of storing sensor data. We confirmed the effectiveness of our proposed method through simulation experiments.
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References
Camp, T., Boleng, J., Davies, V.: A survey of mobility models for ad hoc network research. Wirel. Commun. Mob. Comput. 2(5), 483–502 (2002)
Duan, L., Kubo, T., Sugiyama, K., Huang, J., Hasegawa, T., Walrand, J.: Motivating smartphone collaboration in data acquisition and distributed computing. IEEE Trans. Mob. Comput. 13(10), 2320–2333 (2014)
Estrin, D.: Participatory sensing: applications and architecture [internet predictions]. IEEE Internet Comput. 14(1), 12–42 (2010)
Jiang, C., Gao, L., Duan, J., Huang, J.: Scalable mobile crowdsensing via peer-to-peer data sharing. IEEE Trans. Mob. Comput. 17(4), 898–912 (2017)
Lane, N.D., Miluzzo, E., Lu, H., Peebles, D., Choudhury, T., Campbell, A.T.: A survey of mobile phone sensing. IEEE Commun. Mag. 48(9), 140–150 (2010)
Melo, G., Oliveira, L., Schneider, D., de Souza, J.: Towards an observatory for mobile participatory sensing applications. In: Proceedings of the International Conference on Computer Supported Cooperative Work in Design (CSCWD 2017), pp. 305–312 (2017)
Niwa, J., Okada, K., Okuda, T., Yamaguchi, S.: MPSDataStore: a sensor data repository system for mobile participatory sensing. In: Proceedings of the ACM Workshop on Mobile Cloud Computing (MCC 2013), pp. 3–8 (2013)
Ohyama, T.: Division of a region into equal areas using additively weighted power diagrams. In: Proceedings of the International Symposium on Voronoi Diagrams Science and Engineering (ISVD 2007), pp. 152–158 (2007)
Rana, R.K., Chou, C.T., Kanhere, S.S., Bulusu, N., Hu, W.: Ear-phone: an end-to-end participatory urban noise mapping system. In: Proceedings of the ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN 2010), pp. 105–116 (2010)
Zaslavsky, A., Perera, C., Georgakopoulos, D.: Sensing as a service and big data. In: Proceedings of the International Conference on Advances in Cloud Computing (ACC 2012), pp. 21–29 (2012)
Acknowledgements
This research is supported by the Grants-in-Aid for Young Scientists (B)(17K12673) of Japan Society for the Promotion of Science, Japan, and the Cooperative Research Project of the RIEC, Tohoku University.
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Kanzaki, A., Kuwabara, K. (2019). A P2P-Based Data Storing Method for Participatory Sensing. In: Barolli, L., Javaid, N., Ikeda, M., Takizawa, M. (eds) Complex, Intelligent, and Software Intensive Systems. CISIS 2018. Advances in Intelligent Systems and Computing, vol 772. Springer, Cham. https://doi.org/10.1007/978-3-319-93659-8_43
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DOI: https://doi.org/10.1007/978-3-319-93659-8_43
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