Abstract
With the advancement of new technologies, the number of connected devices, the amount of data generated, and the need to build an intelligently connected network of things to improve and enrich the human ecosystem open new doors to modifications and adaptations of current cellular network infrastructures. While more focus is given to low power wide area (LPWA) applications and devices, a significant challenge is the definition of Internet of Things (IoT) use cases and the value generation of applications on already existing IoT devices. Smartphones and related devices are currently manufactured with a wide range of smart sensors such as accelerometers, video sensors, compasses, gyros, proximity sensors, fingerprint sensors, temperature sensors, and biometric sensors used for various purposes. Many of these sensors can be automatically expanded to monitor a user’s daily activities (e.g., fitness workouts), locations, movements, and real-time body temperatures. Mobile network operators (MNOs) play a substantial role in providing IoT communications platforms, as they manage traffic flow in the network. In this paper, we discuss the global concept of IoT and machine-type communication (MTC), and we conduct device performance analytics based on data traffic collected from a cellular network. The experiment equips service providers with a model and framework to monitor device performance in a network.
Highlights
The expansion of data analytics and machine-to-machine communication (M2M) device performance is going to provide an inventive podium for mobile operators to innovate in the area of customer and service experience
Cellular networks with long-term evolution (LTE) and LTE-A already support low power device interconnections; having more than 20 million connected devices entails an exponential growth of traffic in the network, which can result in high latency and network congestion
This paper introduces the concept of Internet of Things (IoT) and machine-type communication (MTC) with a focus on devices and associates data
Summary
The expansion of data analytics and machine-to-machine communication (M2M) device performance is going to provide an inventive podium for mobile operators to innovate in the area of customer and service experience. IoT system, of mobile network operators playing them safe andthe healthy. The current the IoT system, mobile(MNOs) networkare operators a significant in theacommunication devices, providing of both andevices, adapted providing and efficient access (MNOs) are role playing significant roleofinIoT the communication. Minor adjustments are expected from legacyamount network device data; to this end, anthe aggregation of data trafficdata; was to proposed to an benchmark the quality infrastructures to handle explosivemodel amount of device this end, aggregation model of services for smart devices, focusing on the the basicquality data key indicators (KPIs), including data traffic was proposed to benchmark of performance services for smart devices, focusing on the throughput and average response time(KPIs), of service applications [4]. Analytics as well to classify device category, manufacturer, and type based on a defined set of rules
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