Abstract
In this paper, we propose a Quality-of-Service (QoS)-aware sensor node selection scheme, QSens, for sensor-cloud architecture. In this architecture, a Sensor-Cloud Service Provider (SCSP) provisions Sensors-as-a-Service (Se-aaS) to the registered end-users. On the other hand, the end-users pay the charges for their availed services. This work has twofold objectives—first, we define the Service-Level Agreements (SLAs) in sensor-cloud to bind sensor owners, SCSP, and end-users together with certain contracts, and second, with the help of these SLAs, the proposed scheme provisions to select a suitable set of sensor nodes, based on the QoS value, to serve an application. The SLA between sensor owner and SCSP enforces the former to share the detailed specifications of his/her sensor nodes to the SCSP. On the other hand, the SLA between SCSP and the end-users enforces the SCSP to determine the optimal QoS of different available sets of sensor nodes and share with the end-users. We formulate the QoS of a sensor node with its specifications shared by the sensor owner. Further, we apply Karush–Kuhn–Tucker (KKT) conditions to obtain an optimal sensor node, based on the QoS value. Extensive experimental results depict that the total payable service price varies in the range 77.69–86.97% with the increase in the service price of SCSP from 500–1000 units. On the other hand, with the change in the price of sensor nodes from 500–1000 units, the total payable service price varies from 35.79–54.6%.
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References
Yuriyama, M., Kushida, T.: Sensor-cloud infrastructure - physical sensor management with virtualized sensors on cloud computing. In: Proceedings of the 13th International Conference on Network Based Information Systems (2010)
Roy, A., Misra, S., Dutta, P.: Dynamic pricing for sensor-cloud platform in the presence of dumb nodes. IEEE Trans. Cloud Comput. https://doi.org/10.1109/TCC.2019.2950396
Chakraborty, A., Mondal, A., Roy, A., Misra, S.: Dynamic trust enforcing pricing scheme for sensors-as-a-service in sensor-cloud infrastructure. IEEE Trans. Serv. Comp. p. 1 (2018)
Rockafellar, R.T. : Langrange multipliers optimality. In: Society for Industrial and Applied Mathematics (SIAM) Review (1993)
Mokhtar, M.S., Bazaraa, S., Sherali, H.D.: Non Linear Programming Theory and Algorithms. Wiley (2006)
Gaillard, G., Barthel, D., Theoleyre, F., Valois, F.: Service level agreements for wireless sensor networks: A WSN operator’s point of view. In: IEEE Network Operations and Management Symposium (2014)
Chieng, D., Marshall, A., Parr, G.: SLA brokering and bandwidth reservation negotiation schemes for QoS-aware Internet. IEEE Trans. Net. Serv. Manage. 2(1), 39–49 (2005)
Garca, J.M., Fernndez, P., Pedrinaci, C., Resinas, M., Cardoso, J., Ruiz-Corts, A.: Modeling service level agreements with linked USDL agreement. IEEE Trans. Serv. Comp. 10(1), 52–65 (2017)
Paputungan, I.V., Hani, A.F.M., Hassan, M.F., Asirvadam, V.S.: Real-time and proactive SLA renegotiation for a cloud-based system. IEEE Sys. J. 13(1), 400–411 (2019)
Yuriyama, M., Kushida, T., Itakura, M.: A new model of accelerating service innovation with sensor-cloud infrastructure. In: Annual SRII Global Conference, pp. 308–314 (2011)
Madria, S.: Sensor cloud: Sensing-as-a-service paradigm. In: Proceedings of the 19th IEEE International Conference on Mobile Data Management, pp. 3–6 (2018)
Roy, C., Roy, A., Misra, S.: DIVISOR: Dynamic virtual sensor formation for overlapping region in IoT-based sensor-cloud. In: IEEE Wireless Communication and Network Conference, pp. 1–6 (2018)
Seltman, H.J.: Experimental Design and Analysis. stat.cmu.edu (2018)
Panda, S.K., Nag, S., Jana, P.K.: A smoothing based task scheduling algorithm for heterogeneous multi-cloud environment. In: International Conference on Parallel, Distributed and Grid Computing (2014)
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Roy, A., Misra, S., Kotasthane, A. (2021). QSens: QoS-Aware Sensor Node Selection in Sensor-Cloud Architecture. In: Panigrahi, C.R., Pati, B., Pattanayak, B.K., Amic, S., Li, KC. (eds) Progress in Advanced Computing and Intelligent Engineering. Advances in Intelligent Systems and Computing, vol 1299. Springer, Singapore. https://doi.org/10.1007/978-981-33-4299-6_44
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DOI: https://doi.org/10.1007/978-981-33-4299-6_44
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