Mobile technologies and Internet of Things

This study analyzes the various opportunities for corporations regarding IoT devices, frameworks and infrastructures. It discusses the elements of IoT, middleware, and the three-tiered architecture demonstrating IoT infrastructure.

Running head: MOBILE TECHNOLOGIES AND INTERNET OF THINGS
Mobile technologies and Internet of Things
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Author Note

1MOBILE TECHNOLOGIES AND INTERNET OF THINGS
UNDERSTANDING VARIOUS OPPORTUNITIES FOR THE
CORPORATIONS REGARDING IOT DEVICES, FRAMEWORKS AND
INFRASTRUCTURES
The IoT or Internet of Things indicates the rising network of physical objects. It features the
IP address regarding Internet connectivity. In this study, the various elements of IoT can form the
infrastructure of the IoT system is analyzed. Next, the usages of middleware are analyzed. Lastly,
the three-tiered architecture demonstrating IoT infrastructure is discussed.
The various elements of IoT, forming the central system of the IoT framework is investigated
here. The IoT sensors communicate with the cloud with various types of connectivity. As the
information gets into the cloud, it is processed by the software. It decides to perform activities like
sending alerts and adjust the sensors automatically instead of the necessity of users. The role of
actuators in IoT is an integral part of the entire process (Lin et al., 2017). The IoT cannot make the
necessary changes without it. It is dependent on the electric actuators since it is the way it gives rise
to the movement. Without any linear actuator, the Internet has no individual physical form.
Regarding compute servers with Cloud computing models and IoT, the sensory data can be pushed
and processed in cloud. Having fog computing, local computers or processing units can be used.
This is instead of sending information all through the cloud and then waiting for the server for
responding and process. Apart from this, edge computing has been bringing closest to the source of
data and permitting to implement machine learning at the region of sensors (Yaqoob et al., 2017).
For the case of communication network, the IoT devices are connected to IP network to the
worldwide network. The IoT ecosystem comprises of various smart devices that are web-enabled. It
uses communication hardware, sensors and processors. This is to gather, send and act on the

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information they gain from the situations. The devices share the sensor data they gather through
gathering to IoT gateway to the edge device where the data is sent to the cloud to get analyzed
normally or locally (Weyrich & Ebert, 2016).
The ways in which middleware can be used for connecting and managing the heterogeneous
elements is understood hereafter. The middleware platform abstracts the details of various things
regarding applications. This indicates the hiding the details of smart things. This acts the software
bridge between the applications and things (Sun & Ansari, 2016). Further, it requires to deliver the
needed services to the developers. This helps in concentrating on more on the requirements of the
applications instead of in interacting with hardware at the baseline.
The three-tiered architecture consisting of perception, network and application layer is
analyzed here. Firstly, the perception layer involves the perceiving of the physical properties of
various aspects that are parts of IoT. Here, the methods of perception lie in the basis of various
sensing technologies like NFC, GPS, WSN and RFID. Further, in the network layers, the insights
from IoT device data and various contextual data such as identity and location has been fueling the
demands of manufacturing and industrial companies. This is for the connected devices having huge
availability. Next, the application layer is the interface between the network and end devices. The
layer is deployed through dedicated applications placed at the end. Various alternate protocols are
developed for the scenario of IoT. Examples of this include AMQP, XMPP, DDS, CoAP, SMQTT,
MQTT and so on (Hou et al., 2016).
The above study analyzes how the various opportunities are there for the management
regarding IoT infrastructures, frameworks and devices. Further, it is clear that the IoT technologies
have been able to decrease the efforts of human beings and enhance the employee’s quality of life.
The above discussion helps to analyzes various options for management in this case.

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References:
Hou, L., Zhao, S., Xiong, X., Zheng, K., Chatzimisios, P., Hossain, M. S., & Xiang, W. (2016).
Internet of things cloud: Architecture and implementation. IEEE Communications Magazine,
54(12), 32-39.
Lin, J., Yu, W., Zhang, N., Yang, X., Zhang, H., & Zhao, W. (2017). A survey on internet of things:
Architecture, enabling technologies, security and privacy, and applications. IEEE Internet of
Things Journal, 4(5), 1125-1142.
Sun, X., & Ansari, N. (2016). EdgeIoT: Mobile edge computing for the Internet of Things. IEEE
Communications Magazine, 54(12), 22-29.
Weyrich, M., & Ebert, C. (2016). Reference architectures for the internet of things. IEEE Software,
(1), 112-116.
Yaqoob, I., Ahmed, E., Hashem, I. A. T., Ahmed, A. I. A., Gani, A., Imran, M., & Guizani, M.
(2017). Internet of things architecture: Recent advances, taxonomy, requirements, and open
challenges. IEEE wireless communications, 24(3), 10-16.