We also propose a location-aware architecture for integrating IoT services and mobile application services. In this paper, we review several types compositions and give our view on future smartĬity service providers. IoT service composition and IoT integration with the above-stated technologies have beenĪddressed in research and industry works. These paradigms and techniques are fundamental buildingīlocks and enablers of smart cities. Moreover, service composition supports IoT in the rapidĭevelopment of new IoT applications leveraging the existing services. With many existing technologies (e.g., wireless sensors, mobile computing, and cloud) which support its spreading and scalabilityĪnd help it to overcome its known challenges like limited resources. Number will reach billions in the near future, and hence increasing the number of IoT-based services. Internet of Things (IoT) connects a large number of devices/objects, and these devices are being increased that it is foretold their Furthermore, to highlight the interest of the protocol, we present an application in the context of the smart-building (Lab) as an IoT solution. Besides, the closure (safety) and the convergence (liveness) properties will be defined and proved satisfied by the proposed protocol. On the basis of this idea, this paper defines the system states under self-healing (in collaboration state) and self-protection autonomic-control loops.
The proposed protocol identifies and re-locates the denied service using the contextual recovery or the Sensing as a Service model ( S2aaS) in the Cloud-IoT platform, as a backup to ensure the service availability. For that, we propose a diagnosable distributed protocol, in a hybrid-IoT system designed based on Service-Oriented Architecture (SOA) for IoT middleware in the things-oriented vision. Despite this, in our knowledge, this integration is not used to repair from malicious behaviors and potential distributed denial of service (DDoS) device attacks, especially in a collaborative way to maximize the quality of service parameters (availability). In the reliability and security challenges for the Internet of Things (IoT) systems, managing unpredictable events and controlling the abnormal situation automatically are provisioned by the integration of self-healing properties.
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