It has not been much time since the Internet of Things (IoT) came into existence. It is a fresh concept that is always evolving. Ubiquitous computing, wireless technologies, sensing technologies, Internet Protocol (IP) and devices are mingled together in order to devise a system where the virtual or abstract world meets the real world meet and they interact continuously with each other. Wireless Sensor Networks on being integrated with IoT can work wonders. There are numerous sensors deployed in the sensor fields, all of them sending information generated by them towards an application in the cloud through an IoT gateway which helps to bridge the internal network of sensors with the World Wide Web. Different kinds of sensors forward different types of information towards the gateway. For instance there are temperature sensors that send information regarding temperature, sensors that send information about a patient"s heart beat to the doctor and so forth. The objective of this paper is to prioritize the traffic/data generated by different sensors in a Message Queue Telemetry Transport for Sensor Networks (MQTT-SN) Gateway in order to mitigate the delay of data packets which is necessary for time critical applications.
The existing Internet environment has been extended to the Internet of Things (IoT) as an emerging new paradigm. The IoT connects various physical entities. These entities have communication capability and deploy the observed information to various service areas such as building management, energy-saving systems, surveillance services, and smart homes. These services are designed and developed by professional service providers. Moreover, users' needs have become more complicated and personalized with the spread of user-participation services such as social media and blogging. Therefore, some active users want to create their own services to satisfy their needs, but the existing IoT service-creation environment is difficult for the non-technical user because it requires a programming capability to create a service. To solve this problem, we propose the IoT-based user-driven service modeling environment to provide an easy way to create IoT services. Also, the proposed environment deploys the defined service to another user. Through the personalization and customization of the defined service, the value and dissemination of the service is increased. This environment also provides the ontology-based context-information processing that produces and describes the context information for the IoT-based user-driven service.
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