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Management of network becomes increasingly difficult due to the rapid proliferation of the Internet of Things (IoT) and heterogeneous demands of applications. To mitigate congestion and maintain a high quality of service (QoS) for application users, we propose an importance-oriented clustering-based QoS system named ICAQ. The system uses unsupervised machine learning to determine and differentiate different application flow priority. The system is proposed to be a generic to both network core features and the application features. An environment monitoring IoT application is implemented as an example to demonstrate the expressive power of ICAQ. Experimental results have verified the effectiveness and efficiency of ICAQ and show a promising potential for using ICAQ for the QoS management of IoT applications in 5G and beyond networks.

Geographical opportunistic dissemination scheme in an urban setting has a lot of potential applications range from daily services like advertising and local weather forecast to safety-related services such as fire/accident warning. These applications share several unique characteristics such as location-based address of nodes and maintaining in an area for a specific time. However, all existing solutions fail to take into account these characteristics. In this paper, we propose a novel opportunistic information dissemination scheme via metropolitan bus networks. The scheme firstly makes use of geographical information like street map and bus route to convert information dissemination within a specific area to opportunistic multicast to non-overlapped road segments. A probabilistic routing protocol based on closest distance predictability is presented to multicast the message to its multiple destination road segments and then disseminate to roadside users. We use dissemination ratio and number of replicas as metrics to evaluate the performance of the scheme. And the simulation results show that the proposed dissemination scheme achieves high dissemination ratio when the number of buses is enough with an acceptable number of replicas (network overhead).

Geographical opportunistic dissemination scheme in an urban setting has a lot of potential applications range from daily services like advertising and local weather forecast to safety-related services such as fire/accident warning. These applications share several unique characteristics such as location-based address of nodes and maintaining in an area for a specific time. However, all existing solutions fail to take into account these characteristics.In this paper, we propose a novel opportunistic information dissemination scheme via metropolitan bus networks. The scheme firstly makes use of geographical information like street map and bus route to convert information dissemination within a specific area to opportunistic multicast to non-overlapped road segments. A probabilistic routing protocol based on closest distance predictability is presented to multicast the message to its multiple destination road segments and then disseminate to roadside users. We use dissemination ratio and number of replicas as metrics to evaluate the performance of the scheme. And the simulation results show that the proposed dissemination scheme achieves high dissemination ratio when the number of buses is enough with an acceptable number of replicas (network overhead).

In this paper the idea of active security situation sensing is introduced. The active security situation sensor which is different from the traditional sensor such as firewall or IDS, can capture attack intention and predict attack trends before attack occurs to productive system. The design and implementation of our A3S are described, and the whole system of security situational awareness is also simply introduced.