Optimal Device Management Service Selection in Internet-of-Things.

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.