Sensors Free Full-Text Agile Methodologies Applied to the Development of Internet of Things IoT-Based Systems: A Review

Remote IoT sensors integrated into larger devices or industrial processes can help technicians monitor and diagnose hardware remotely. This allows maintenance specialists to manage more devices at a time and prevent equipment malfunctions or emergencies via special IoT applications and admin panels. It can drastically reduce downtime, open up new business models, and improve customer experience—and it can also make organizations more resilient. In the COVID-19 era, for example, digital management tools and constant connectivity allowed some companies to react to market changes swiftly and efficiently by quickly adjusting production capacity and simultaneously supporting remote operations. The constant connectivity that IoT enables, combined with data and analytics, provides new opportunities for companies to innovate products and services, as well as to increase the efficiency of operations.

The spread of the emerging Bluetooth Low Energy (BLE) technology makes the BT also energy-efficient, which is a key requirement in many indoor applications. An interesting investigation regarding the state-of-the-art and adaptive AAL platforms for older adult assistance was provided in (Duarte et al., 2018). The authors present an overview of AAL platforms, development patterns, and main challenges in this domain.

What are the benefits of IoT for business?

The Internet of Things gives businesses access to advanced analytics that uncover new opportunities. For example, businesses can create highly targeted advertising campaigns by collecting data on customer behavior. It allows machines to do more heavy lifting, take over tedious tasks and make life more healthy, productive, and comfortable. After significant data is extracted, it is stored in either traditional data centers or the cloud. From there, IT professionals can reshape the data and make it readable for the end users. IoT devices give organizations the capability to automate various business operations, including everyday activities.

IoT software development services cover requirements engineering, architecture design, platform and user apps creation, testing, and support. ScienceSoft offers IoT development services to deliver robust IoT solutions that optimize business processes and improve work safety. The issue of security and traceability of goods is increasingly important in the logistics sector, with repercussions in terms of supply chain management and goods transport. In this case, information technologies and in particular the IoT can offer valuable support, increasing the degree of visibility and control over the entire supply chain. In this context, it is clear how IoT technologies can contribute to the remote monitoring of flows and assets, providing a series of information useful for their management and optimization. This is possible through identification (e.g., via RFID or barcode), location (e.g., via GPS), monitoring of parameters and status variables of the assets (e.g., via sensors) and their transmission (e.g., via Wi-Fi or GSM/GPRS network).

Connected homes

AWS IoT provides IoT services for industrial, consumer, and commercial solutions. You can rely on AWS IoT services to build applications that uncover new business value, run sophisticated analytics and detect and respond to events from large number of IoT devices. Edge computing refers to the technology used to make smart devices do more than just send or receive data to their IoT platform. It increases the computing power at the edges of an IoT network, reducing communication latency and improving response time.

Developers and IT teams must consider the data’s security and continuously take measures to improve it. The connections between multiple devices to a network exposes them to potential security threats. It is expected that by 2025, the market will grow up to 75 million connected devices with a 28% annual growth. Then, the IoT software is deployed and different companies start using it for their devices. You could develop a separate application or build something specifically for one device. The internet of things is literally a huge network of different devices like detectors, mobile phones, smartwatches, cameras, and others.

Stage 2: Data preprocessing

Computers can then evaluate the data to help practitioners adjust treatments and improve patient outcomes. IoT development is a very prominent area to get powerful software that will make your devices even smarter. While more and more hardware is being involved in these processes, the chance of you having such a device at home is very high. Connected to the internet and equipped with sensors, these devices power much of the developing data-based economy and bridge the divide between the physical and digital worlds. All the components that enable businesses, governments, and consumers to connect to their IoT devices, including remotes, dashboards, networks, gateways, analytics, data storage, and security is part of the Internet of Things ecosystem.

Shipping companies use Industrial IoT applications to keep track of assets and optimize fuel consumption on shipping routes. The technology is especially useful for tight temperature control in refrigerated containers. Supply chain managers make informed predictions through smart routing and rerouting algorithms. Smart home devices are mainly focused on improving the efficiency and safety of the house, as well as improving home networking. Devices like smart outlets monitor electricity usage and smart thermostats provide better temperature control. Hydroponic systems can use IoT sensors to manage the garden while IoT smoke detectors can detect tobacco smoke.

Where to find an IoT software developer?

Practical findings extended knowledge needed for improvement of the sharing economy to achieve sustainably goals through IoT enabled support. The work (Zhang et al., 2016) proposes an inventory management system for a warehousing company. The system adopts the concept of IoT using RFID technology to track the material and provide messages or warnings when incorrect behaviors are detected. In particular, it integrates RFID technology and a self-Adaptive distributed decision support internet of things software developmen model for inbound and outbound actives, inventory location suggestions and incident handling. In (Guptha et al., 2018), the authors design an IoT architecture for order picking processes in a warehouse that allows the inventory real time tracking and visibility into the reduction of warehouse operation costs, improved safety and reduced theft. IoT and RFID technologies are again exploited in (Valente et al., 2017) to improve productivity in the value chain of a steel mill.

• The Intense digitalization in recent years has allowed for different technological possibilities that have already gradually been changing the main economic sectors and societies in general.
• Enterprise IoT in manufacturing uses predictive maintenance to reduce unplanned downtime and wearable technology to improve worker safety.
• The importance of the BIM (Building Information Modelling) systems was discussed and analysed in the review paper (Pantelia et al., 2020).
• Wearables, smart home appliances, GPS vehicle trackers, home security systems, industrial robotics are all examples of IoT devices.
• Software development refers to a set of computer science activities dedicated to the process of creating, designing, deploying and supporting software.

Ambient intelligence and autonomous control do not necessarily require Internet structures, either. By reinforcement learning approach, a learning agent can sense the environment’s state (e.g., sensing home temperature), perform actions (e.g., turn HVAC on or off) and learn through the maximizing accumulated rewards it receives in long term. There are numerous IoT applications in farming[75] such as collecting data on temperature, rainfall, humidity, wind speed, pest infestation, and soil content.

What does the term IoT stand for?

The application of an IoT based data logger was presented in (Mishra et al., 2020), for the monitoring of equipment for environmental protection. The developed monitoring system ensured accurate and reliable work of the equipment used for the environmental protection. Potential equipment faults were detected in advance (prevention of serious failure), the equipment energy consumption was rationalized and scheduled maintenance was enabled. The accurate prediction of particulate matter (PM2.5) concentrations is very important, especially in urban areas.

Another way in which the security of IoT devices could be breached is by IoT botnets. In this scenario, hackers look to launch a crippling DDoS attack, harnessing an army of devices to pool enough power to overwhelm a target in a torrent of traffic to render it helpless. Layered architecture of proposed automation enterprise asset management system (Wang et al., 2015). When considering LPWANs, the competitive technologies are also orthogonal in terms of different application points of view. 25 and ​and2626 give the technological comparison between each of them, so the deployers can understand which technology better fits which need.

Are you an offshore or onshore Internet of Things development company?

The approach could be further used for the recovery process of Li-ion batteries. Due to a planned increase in electric car fleets globally, intensive research was also directed for the potential usage of IoT technologies for the smart charging of electric vehicles. Real time IoT based forecasting applications were proposed in (Savari et al., 2020) for a more efficient charging process of electric vehicles. The application allowed better scheduling management where the waiting time was minimized, which improved the overall charging economy as well as charging time. The smart city concept is the most progressing IoT application area since cities have been vastly populated, which causes severe infrastructural issues.