Autonomous Service Management for Location and Context Aware Service

Abstract

Self-Management of services and devices in Internet of Things (IoT) systems and Machine-to-Machine (M2M) systems is a fundamental challenge due to the large number of devices and context-aware services. In this paper, we present the mechanism to automatically manage the services and devices according to context of the system and location of the devices. The developed mechanism is parts of WuKong middleware, which is a middleware for distributed and autonomous IoT/M2M systems. To support autonomous service management, we develop the device identification mechanism, the mechanism for device status monitoring, device management, and service reconfiguration. This paper presents the location and context-aware service configuration mechanism in WuKong middleware. The mechanism includes the services to manage the devices, to manage the radio interfaces on devices, to learn the location of devices, to load the service remotely and dynamically. The developed mechanisms are implemented and experimented on Arduino-compatible devices to evaluate its performance.