ITEC FPX 5030 Assessment 3

Executive Summary

In this experiment, I used Cisco Packet Tracer to simulate an Internet of Things (IoT) home network with the application of Unified Theory of Acceptance and Use of Technology (UTAUT) constructs in mind. The analysis considered UTAUT factors such as performance expectancy, effort expectancy, social influence, and facilitating conditions. Also, I came to know about numerous types of IoT devices, such as computers, smartphones, speakers, vehicles, kitchen devices, cameras, health devices, and garage door openers for a home. All these are internet-connected and can be operated through a hub.

ITEC FPX 5030 Assessment 3:Introduction

This experiment involved the simulation of an IoT home network using Cisco Packet Tracer and was aimed at discovering if and how such a network could be utilized. The aim was to utilize the UTAUT model to identify the most significant factors influencing the adoption and utilization of new technologies. Through the simulation of an IoT network, I gauged the viability of the network and the practical necessities needed for the establishment of an efficient system. This lab also helped me understand how devices would be capable of communicating and exchanging information via the Internet.

Scope

The objective of this lab was to link devices to the Internet. I created a server using Cisco Packet Tracer and incorporated a switch, webcam, and motion detector. The webcam was programmed to turn on as soon as the motion detector is triggered, with a real-world application of IoT within a home network.

Objective

IoT stands for connected physical objects with sensors and software embedded, allowing data exchange. Technologies enabling IoT are sensors, cloud computing, machine learning, and artificial intelligence.

UTAUT Model

UTAUT lists influential factors—performance expectancy, effort expectancy, social influence, and facilitating conditions—influencing behavioral intention and usage. Age, gender, and experience are moderators.

Procedure

The motion detectors and webcams were wired to a switch and server to facilitate their communication. The webcam was scripted to turn on depending on the detection of motion.

Objective

IoT represents an interrelated network of tangible objects that carry sensors, software, and technologies to enable communication of data on the Internet. The billions of devices globally form the core upon which data collecting and transmission rest (Ranger, 2020). IoT cannot be achieved without specialized hardware, such as sensors, to generate and deliver data. Companies derive value from IoT by harnessing its potential for greater agility and operational efficiency. The principal technologies are low-cost sensors, cloud computing, and machine learning. With these technologies, IoT can be scaled and made flexible across industries.

The UTAUT model identifies four fundamental determinants—performance expectancy, effort expectancy, social influence, and facilitating conditions—which drive behavioral intention and technology use (Venkatesh, Thong, & Xu, 2016). Performance expectancy is attained in IoT since the technology enhances operations with little human intervention. Facilitating conditions offer means and assistance to execute IoT systems.

Procedure

During the lab, I was able to successfully mount a motion detector onto a webcam. The devices were connected to enable the webcam to turn on upon detecting motion and turn off otherwise. I connected these devices using a switch and ensured communication through Ethernet cables. Upon setting up the network and naming all components, I established a script to control the activation of the webcam based on detecting motion. The simulation proved an effective IoT use case, demonstrating the applicability of the system in real-world scenarios.

Troubleshooting

Designing a new system, such as the IoT network, is not comparable to maintaining an existing system. New systems must go through rigorous testing to ensure they function as expected under various conditions, such as intensive database usage (Race, n.d.). Constant tuning and testing are necessary to ensure the system is appropriate for business needs to implement effectively.

Conclusion

The IoT is a rapidly growing technology with varying applications in personal and business contexts. This laboratory demonstrated the working benefits and flaws of using IoT. While IoT technologies are still not standardized, they are better every step in performance and will go on to streamline processes in various industries. With the expansion of IoT going forward, it will further conquer daily life.