Optimizing Business Models through IoT-Enabled Machine-to-Machine Protocols: A Comprehensive Research Study
Keywords:
Internet of Things (IoT), Machine-to-Machine Protocols, Business Model Optimization, Interconnectivity, Data Interchange, Communication Protocols, MQTT CoAPAbstract
The advent of the Internet of Things (IoT) has resulted in an era characterized by an unparalleled level of interconnectivity and data interchange among gadgets, hence presenting organizations in many sectors with disruptive prospects. This research paper provides a complete examination of the optimization of business models using Machine-to-Machine (M2M) protocols provided by the Internet of Things. This study examines the intricate relationship between the Internet of Things and Machine-to-Machine technologies, providing a comprehensive analysis of their significant influence on company strategy and operational practices. The experimentation phase involved implementing and assessing several M2M protocols on the Raspberry Pi-based IoT setup. Tools like Python programming language and specific libraries, including paho-mqtt for MQTT and CoAP, were utilized to develop and deploy the communication protocols. The purpose of this study is to evaluate the effectiveness and suitability of several M2M protocols in the context of communication for the Internet of Things. In order to assess the protocols, a Raspberry Pi running the Raspbian operating system and equipped with a temperature sensor are employed. Each IoT environment necessitates a protocol with distinct characteristics, rendering the selection of an appropriate protocol contingent upon factors such as the number of nodes, communication range, power needs, and dependability. Based on extensive studies conducted on contemporary IoT advancements, it has been determined that the protocols universally applicable to various IoT environments are MQTT and CoAP. These protocols have a low operational and data transmission overhead, enabling their adoption in the IoT industry.
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