AWS Internet Of Things Research Articles

IoT Based Food Freshness Detection by Using Python

Abstract: In the contemporary landscape of interconnected devices and the Internet of Things (IoT), the pursuit of sustainable practices has led to innovative solutions in diverse domains. This project introduces an IoT-based system for food freshness detection, leveraging the capabilities of the Python programming language. The primary objective is to design a versatile and accessible platform that monitors the freshness of perishable goods in real-time, contributing to reduced food wastage and enhanced consumer awareness. The project centers around the integration of sensors, particularly gas sensors, with a Raspberry Pi microcontroller. These sensors capture volatile compounds emitted during the degradation of food items, providing crucial data for freshness assessment. The Python programming language is employed to orchestrate sensor data processing, implement intelligent freshness determination logic, and facilitate communication with IoT platforms. Key components of the project include the establishment of MQTT communication for real-time data transfer, integration with cloud platforms (such as AWS IoT or ThingSpeak) for data storage and visualization, and the optional development of a user interface for remote monitoring. Through rigorous testing and calibration, the system aims to achieve a reliable and accurate assessment of food freshness across diverse environmental conditions. The anticipated outcomes include a functional and scalable IoT-based food freshness detection system. By providing users with real-time insights into the condition of perishable goods, the project strives to empower consumers to make informed decisions, reduce food wastage, and contribute to sustainable food management practices

Recent Trends in Cloud Computing and IoT Platforms for IT Management and Development: A Review

Cloud computing has transformed the delivery and management of IT services, and with the advent of the Internet of Things (IoT), cloud platforms have become even more crucial for developing and managing IT solutions. This critical review article presents the latest research on cloud computing platforms with IoT capability and their impact on IT management and development. The review covers the advantages of cloud computing platforms, including their cost-effectiveness, scalability, and flexibility. It also provides an in-depth analysis of six leading cloud platforms with IoT capability: ThingSpeak, Ubidots Platform, AWS IoT, IBM Watson, ThingWorx, and Salesforce Platform. The review focuses on their features, capabilities, and limitations. The article concludes by emphasizing the crucial role of cloud computing platforms with IoT capability in IT management and development and their potential for future growth and development. The insights provided by this review are essential for researchers and practitioners who seek to comprehend the emerging trends in cloud computing platforms and their impact on IT management and development.

The Anatomy of IoT Platforms—A Systematic Multivocal Mapping Study

Due to the large variety of Internet of Things (IoT) platforms, selecting the right one to implement an IoT solution is a tough task. To mitigate right selection by the developer, this paper presents a Systematic Multivocal Mapping Study on IoT platforms and its main software elements, to define their anatomy considering how they were studied by the market analysts and academia. By using a precise protocol defined on this work, it was possible to select 63 academic articles and industry reports that perform IoT platform descriptions, evaluations and comparisons. As results, this paper identified the most important IoT platforms are AWS IoT, Azure IoT, Watson IoT, PTC ThingWorx and Google IoT. Its main capabilities are Interoperability, Security & Privacy, Developer Support, Data Management, Device Management and Services Management. It was also defined an architectural model with the main platform components highlighted according to their relevance, the main communication models (Publish/Subscribe and REST APIs) and the common API that should be implemented by the IoT platforms.

A Sidecar Object for the Optimized Communication Between Edge and Cloud in Internet of Things Applications

The internet of things (IoT) is one of the most disrupting revolutions that is characterizing the technology ecosystem. In the near future, the IoT will have a significant impact on people’s lives and on the design and developments of new paradigms and architectures coping with a completely new set of challenges and service categories. The IoT can be described as an ecosystem where a massive number of constrained devices (denoted as smart objects) will be deployed and connected to cooperate for multiple purposes, such a data collection, actuation, and interaction with people. In order to meet the specific requirements, IoT services may be deployed leveraging a hybrid architecture that will involve services deployed on the edge and the cloud. In this context, one of the challenges is to create an infrastructure of objects and microservices operating between both the edge and in the cloud that can be easily updated and extended with new features and functionalities without the need of updating or re-deploying smart objects. This work introduces a new concept for extending smart objects’ support for cloud services, denoted as a sidecar object. A sidecar object serves the purpose of being deployed as additional component of a preexisting object without interfering with the mechanisms and behaviors that have already been implemented. In particular, the sidecar object implementation developed in this work focuses on the communication with existing IoT cloud services (namely, AWS IoT and Google Cloud IoT) to provide a transparent and seamless synchronization of data, states, and commands between the object on the edge and the cloud. The proposed sidecar object implementation has been extensively evaluated through a detailed set of tests, in order to analyze the performances and behaviors in real- world scenarios.

Osmotic Message-Oriented Middleware for the Internet of Things

Message-oriented middleware is a key technology in todays Internet of Things (IoT). Centralized message brokers facilitate decoupled device-to-device communication and can transparently scale to handle many millions of messages per second. However, Cloud-based solutions, such as AWS IoT or Azure IoT Hub, cannot satisfy the stringent QoS and privacy requirements of many modern IoT scenarios. Instead, distributed middleware needs to leverage the ever- increasing amount of resources at the edge of the network to provide reliable, ultra-low-latency, and privacy-aware message routing. But the heterogeneity and volatility inherent to Edge resources, and the unpredictability of mobile clients, make it extremely challenging to provide resilient coordination mechanisms and guaranteed message delivery. Applying Osmotic Computing principles to message-oriented middleware opens new opportunities for solving these challenges.