Abstract
In Internet-of-Things (IoT), IoT device management is a challenge for device owners considering the huge amount of devices and their heterogeneous quality of service (QoS) requirements. Recently, IoT device management service (MS) providers are arising to serve device owners. Device owners can now easily manage their devices by using IoT device MSs. It is critical to select suitable MSs from numerous candidates for devices. An optimal service selection must maximize the number of MS managed devices and minimize the total cost while ensuring the QoS requirements of IoT system. To optimize the IoT Device Management Service Selection problem, we propose IDMSS, a Lexicographic Goal Programming (LGP) based approach. However, due to the high computational complexity of the IoT Device Management Service Selection problem, an alternative heuristic-based approach called GA4MSS is proposed. Two series of experiments have been conducted and the experimental results show the performance of our approaches.
This work was supported in part by the International Joint Project through the Royal Society of the U.K., in part by the National Natural Science Foundation of China under Grant 61611130209, in part by the National Science Foundations of China under Grants 61472051/61702060, in part by the Science Foundation of Chongqing under Grant cstc2017jcyjA1276, in part by the China Postdoctoral Science Foundation under Grant 2015M570770, in part by the Natural Science Foundation of Chongqing under Grant cstc2016jcyjA1315, and in part by the National Key R&D Program of China under Grant 2018YFD1100304.
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© 2019 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Li, W., Xia, Y., Zheng, W., Chen, P., Lee, J., Li, Y. (2019). Optimal Device Management Service Selection in Internet-of-Things. In: Wang, X., Gao, H., Iqbal, M., Min, G. (eds) Collaborative Computing: Networking, Applications and Worksharing. CollaborateCom 2019. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 292. Springer, Cham. https://doi.org/10.1007/978-3-030-30146-0_4
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DOI: https://doi.org/10.1007/978-3-030-30146-0_4
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