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2: IoT environment simulation with SUMMON and MobIoTSim As 2 shows, the simulation of a whole IoT environment scenario starts with the filtered JSON data from SUMMON imported to the MobIoTSim simulator. When the user starts a simulation with MobIoTSim, the sensor data are sent in the form of messages to the MQTT Broker of the IBM Bluemix IoT Service [24]. After it receives these real-life values, the broker forwards them to a gateway application. The gateway application shows a real-time chart with the data, even from several devices simultaneously. In cases, when we need just specific values from the dataset, or just a specific number or value of records, SUMMON can generate a form, where the required criteria can be added, as shown in 3.
Source publication
There is a growing number of communicating devices joining the Internet, and we will soon face a world of a distributed computing environment with interconnected smart devices. Cloud-based systems have also started to dominate the Internet space, with the emergence of the Internet of Things (IoT) paradigm. In spite of the huge developments in the c...
Citations
... However, as cloud data centers are centralized in nature, so it is difficult for them to support applications with a large number of highly distributed IoT devices. This inconvenience causes highly latency networks [9]. To overcome these obstacles, several approaches have been proposed in the literature, one of them is using network coordinates system NC. ...
... The architecture of cloud computing and fog computing is different, aforementioned cloud computing is centralized paradigm unlike the fog computing which is a distributed paradigm. The fog computing includes fog nodes, which can be the micro servers [9], the networking devices, the cloudlets [11], and the micro base station, the fog nodes communicates towards several types of topology namely cluster, Peer to Peer and machine-slave topologies. ...
Today, we are witnessing the overpopulation of connected objects due to the ubiquitous computing or pervasive computing known as the Internet of Things. Recent developments in the field of industry have heightened the need for the Internet of Things. Therefore, the use of IoT implies the industrial internet of things. In fact, to be interested in its evolution, it is necessary to ensure the ease of its deployment as well as the gains of the industrial society on the economic level. The main challenges of IoT are: Speed computing, energy saver, bandwidth saver and providing low latency. However, these parameters have a serious effect on the use of the Internet of Things, which is necessary to find a solution to optimize its uses in the industry. This article seeks to address these issues by analyzing the IoT literature and its theoretical modeling of fog computing architecture and comparing its performance with the traditional cloud computing model. We suggest a global model and architecture, on which industrial companies can rely in order to optimize the internet of things resources and provide a better result.
