Published: August 7, 2024
23 min read
In this article, you'll learn:
1
🔋 What is Low Power in an IoT?
2
📋 Use Cases for Low-Power IoT
3
📱 Low Power IoT Devices
4
⚙️ Challenges in Designing Low-Power IoT Devices
5
🌙 Low Power Modes and IoT Devices
6
🛠️ Best Ways to Improve the Battery Life of IoT Devices
7
❓How to Build an App for Low Power IoT Device
8
🔮 Future of Low Power in an IoT
9
🚀 Our Approach to IoT Low Power
10
👂 Takeaways
In the rapidly advancing technological world, IoT is a symbol of advancement, enabling devices and systems to work together seamlessly. However, one critical challenge persists: electricity usage or efficiency. There is a great need for low-power IoT solutions. A common question arises: 'Do IoT devices have to be low power?' The answer is often yes, as devices need to operate for longer periods in remote areas without direct power supply, often communicating through a low-power gateway.
In this article, we will discuss and examine the principles of low power IoT systems, using key concepts and case studies from the low power IoT report. We will also tell you about ways to extend battery life, and our experienced developer will demonstrate on a real example how to build an app for a low-power IoT device. Let's get started!
The Internet of Things (IoT) market is moving incredibly fast, and low power consumption is, in many cases, vital. But what does the term "low power" in a context of IoT, and why is it so important?
Low power in IoT refers to the capability of such Low-Power IoT devices and wireless systems to function for years using minimal energy resources. This capability is especially useful in devices that are planted in remote areas or those that are difficult to access and can rarely, if ever, be subjected to battery replacement.
In effect, Low Power IoT devices are built in such a way that they do not drain a lot of power while providing the level of functionality and performance expected of them.
A prime factor in successfully implementing IoT Low Power consumption for devices is the power moding mechanism. These modes enable the devices to go from main active states, which are associated with their principal operations, to different low power states, which are related to reduced power consumption.
For example, a device within a power system network might only wake up to handle activities like sending information or acquiring data from sensors before powering off to conserve energy. Thus, the management of these modes can significantly increase the service life of a Low Power IoT device within its operating conditions.
The roles of low-power solutions within a power system network are becoming critical as IoT expands and transforms different industries, highlighting the importance of IoT prototyping. Regardless of the use case — whether it involves overseeing distant agricultural fields, supervising medical gadgets, or improving infrastructure in urban areas — low-power IoT technologies are essential. Learn more about IoT in the fitness industry.
In this section, we will describe the main low-power IoT use cases. This leads us to consider, 'Do IoT devices have to be low power?' Understanding how these technologies can enhance performance and efficiency in different areas of our lives is crucial.
Mobile assets range from cars and manufacturing machinery to portable tools, all of which must have a backup battery and connectivity to wireless systems from any location. For instance, IoT-connected micromobility vehicles, as well as medical equipment used to transfer between hospital units, require reliable power management to reduce the number of battery changes or recharging.
Low power IoT sensors detect motion and adjust lighting accordingly, while low-power consumption LEDs ensure minimal energy usage.
(image by Jack R.)
Using low power IoT systems enables these mobile assets to remain as effective as when they were new and not experience frequent breakdowns, which would translate to more expenses for repairs. Read more about IoT in Logistics & Transportation.
Remote fixed assets are used in areas that may not be connected to power, such as fields, weather stations, and environmental monitoring systems. These devices are strictly reliant on solar power or another renewable, low-cost source of power for continuous operation.
Low-power, low-data designs ensure that the amount of energy consumed is small and thus require small solar panels and batteries, making them cheap to install and maintain. Such devices can achieve consistent and reliable monitoring and forwarding of information by attaining maximum efficiency in power utilization.
Emergency loads are those IoT devices that require critical functionality irrespective of power availability. These include wearable IoT medical devices, disaster management devices, and monitoring equipment for crucial infrastructures. To ensure these devices are available at all times during emergencies, low-power solutions are combined with backup batteries to protect the devices in case of any mishap. The capacity to efficiently work on a backup energy supply improves the dependability and redundancy of vital low power IoT applications.
Smart wristbands and watches, health monitoring devices, and similar items need to be lightweight and easy to wear for prolonged periods while ensuring safe and efficient power consumption to last longer durations. This way, manufacturers can produce products with relatively low power demands that are small in size, easy to use, high-performing, and very reliable.
Low-power IoT devices are important in the context of the smart home segment as they can optimize energy consumption and comfort. Additionally, addressing what is IoT monitoring can further enhance their efficiency. Products like smart thermostats, smart security systems, and smart lighting systems require low-power designs to ensure longer battery life and low energy utilization. Learn more about IoT security challenges!
These IoT solutions make home living more efficient and cost-effective by reducing the cost of frequent battery replacements and increasing efficiency by using less power.
By leveraging low power IoT sensors and efficient wireless communication networks, smart lighting and security systems can operate effectively while maintaining minimal power usage.
(image by Jack R.)
Smart cities with low power IoT systems and wireless technology are implemented in several aspects, including lighting systems, traffic signals, and environmental monitoring. The integration of these low-power, low-cost technologies into the city's infrastructure helps cut energy costs and achieve established goals in sustainable low power IoT development. For instance, smart poles with low-power sensors help in street lighting that adjusts intensity based on existing conditions, avoiding energy wastage while providing security.
Low-power IoT devices not only improve battery longevity but also enhance performance and functionality across numerous applications. Explore how to build a companion app for your IoT BLE device.
This section explores two significant categories of low-power IoT devices: BLE Beacons and IoT Smart Sensors.
Bluetooth Low Energy (BLE) beacons are a prime example of low-power IoT technology. These compact devices transmit signals at regular intervals, enabling location-based services, proximity marketing, and asset tracking. For instance, BLE beacons such as the Dusun IoT beacons operate using Bluetooth 4.0 technology to achieve impressive levels of energy efficiency.
One of the key features of BLE beacons is their ability to function efficiently with low power. A standard BLE beacon can operate for months or even years with a single coin cell battery when configured with low-power and low-transmission-interval settings. This prolonged battery life results from the device rarely operating at optimum or maximum power levels. The beacon periodically wakes up, transmits its signal, and then returns to a low-power sleep mode, reactivating when it needs to transmit again.
Whether in retail or agriculture, the integration of BLE beacons into low power IoT applications showcases the potential of this wireless technology in transforming industries with minimal energy usage and maximum impact.
(image by Pixelate Design)
BLE beacons are characterized by their high adaptability and flexibility in wireless communication. Parameters such as the UUID value, the strength of the received signal (RSSI), and the power of transmission can be adjusted according to specific applications, optimizing wireless technology communication with the nearest gateway. This adaptability allows BLE beacons to be used in a variety of scenarios, including indoor navigation, retail analysis, healthcare monitoring, and industrial applications.
These sensors measure different environmental indicators like temperature, humidity, pressure, and even light intensity while operating with minimal power, utilizing wireless technology for data transmission. Their efficiency comes from their ability to enter deep sleep modes in addition to active data measurement and transmission.
For this reason, smart sensors from industries like Dusun IoT are designed to be accurate and efficient for both short and long intervals. They can use multiple communication protocols, such as Zigbee and LoRaWAN, which allows them to easily fit into various IoT environments. These sensors can be used in applications including smart farming, connected homes/buildings, industries, and wearables.
The main trade-off when developing low power, low-data smart sensors is balancing power requirements, which must be kept as low as possible, with data accuracy and high transmission rates. Methods such as data buffering and transmission scheduling in a smart sensor help reduce energy consumption while ensuring timely and effective data delivery. For example, a smart water leak sensor can switch to sleep mode and use minimal energy until triggered by a leak, then it wakes up and notifies the monitoring system about the leakage.
Smart home IoT sensors communicate with a central gateway via low data, wireless technology, ensuring minimal power usage.
(image by Kristina Taskaeva)
Automated monitoring low power IoT systems are critical, especially when oil and gas assets are in remote areas. Such systems are always in hibernate mode, waking up only to collect sensitive information and then transmitting it, which helps to conserve battery power.
Last but not least, wearable electronics are used in healthcare and fitness. The two work in a way that, while active mode is in use for constant monitoring, idle mode is retained for battery conservation through sleep mode during less activity.
In this section we will delve into two main challenges faced by developers while implementing IoT to track and connect devices in diverse contexts:
One of the persistent challenges in designing IoT low power devices is balancing power consumption and performance. For high-definition cameras and various environmental research equipment, Li-S batteries introduce high standards in terms of computational speed, memory capacity, and data transfer rate. These requirements obviously result in high IoT low power consumption, which can be a drawback, particularly for portable, battery-operated devices.
Developers face the problem of minimizing power consumption while meeting the device’s performance requirements. Achieving this balance usually involves implementing various power-saving modes or mechanisms to manage power consumption effectively. Additionally, components such as chips can be optimized to be lower power, and the firmware can be adjusted to control power levels. However, it is crucial to note that achieving the desired outcome requires careful consideration and testing.
Special attention should also be paid to the general concept of the system and its IoT low power consumption requirements. These include choosing proper microcontrollers, low power IoT sensors, and communication modules that integrate low-power modes. For instance, the ESP32 has advanced sleep modes that allow the microcontroller to consume near-minimal power, making it suitably appropriate for IoT devices that often rely on batteries.
Besides, the described system architecture should also allow for effective power management. This entails the ability to include conditions such as sleeping and waking, in which the device should be in a dormant state most of the time, other than when it is processing or sending data. For instance, a low power IoT sensor that periodically reads environmental data can be in a very low-power mode, collecting data every hour to save power.
A smart security system typically includes low power IoT devices such as door and window sensors, motion detectors, and cameras.
(image by Jack R.)
Power management with regard to the selection of communication protocols is another factor. LPWAN protocols like LoRaWAN and NB-IoT have been developed to be low-power and to establish connectivity over a large distance to different end devices. Such protocols are useful for devices that are located in distant or movable places, especially in IoT systems, where energy consumption is extremely important.
Last but not least, the design of the hardware must also focus on the aspects of the operational environment. Devices that need to work under conditions considered hostile or unfavorable, like industrial or agricultural applications, need to use durable components that can endure such working conditions while consuming less power. This often requires the employment of restricted materials as well as patterns capable of functioning optimally based on the climatic conditions.
In conclusion, this section reveals that the overall power reduction in IoT devices is not only about the features and characteristics of the used components but also about the design of the system as a whole. By considering performance, IoT low power consumption, and synchronously optimizing the whole system, it is possible to design IoT devices that meet the requirements of various applications while consuming minimal energy.
Power modes are important for designing low-power IoT devices. These modes make it possible for devices to switch from one level of activity to another and to be in close proximity to an inactive status, thus having implications on their energy consumption.
For example, an active mode might be when a device needs to work for a certain task, such as transmitting data, while most of the time it will be in sleep mode. This tactical switching ensures that the device is economical on power without compromising the power it delivers.
Let's consider all the Low Power Modes:
Mode | Description | Power Consumption |
---|---|---|
Active Mode | The device is functional in terms of basic functionalities that include data input, data output, transmission, and low power IoT sensor activity. | Highest in this mode because the CPU, sensors, and communication module are all in maximum use. |
Idle Mode | The device is configured in a state where it draws power and is ON, though no processing is currently taking place. It is in standby mode, which enables it to turn on immediately. | Lower than in active mode, as some unnecessary parts are switched off. |
Sleep Mode | In this state, most features of the device are powered down, and only a few circuits and utilities remain on to watch for specific states or signals to wake up the rest of the device. | Greatly reduced, which in turn means that the battery life of the device is significantly enhanced. This mode is very useful for devices that are intended to operate for relatively longer periods on battery power only. |
Deep Sleep Mode | A state lower than sleep, characterized by the shutdown of almost all operations. The only way to wake the device is by an event or a timer. | Very low, usually measured in microamperes, which is suitable for very low power usage applications. |
Hibernate Mode | There is a mechanism for storing some of the settings of the device in non-volatile memory, and the device turns off practically all functions and controls. | Upon waking from sleep, it resumes the state from the previous memory. |
When it comes to the widespread expansion of Internet-connected devices, or the so-called Internet of Things (IoT), battery management is a key consideration. Most IoT devices are installed in hard-to-reach places, making battery replacement often impractical. Here are some of the best ways to extend the battery life of IoT devices:
Perhaps the simplest way to increase battery life is to use a larger battery initially. By increasing the battery capacity, you can extend the operating time of the device between charges.
This is the simplest approach but not ideal. A larger battery is more expensive and takes up more space, which may not be feasible in some cases.
Sergei Shemshur, React Native Developer @ Stormotion
Another strategy is the effective practice and implementation of power management techniques. Understanding what is IoT device management can be crucial for this. Low-power sleep modes are one such method, achievable through microcontrollers. Components can be put into low-power sleep mode when they are not performing any critical operations, significantly reducing energy consumption.
For example, low power IoT sensors can be programmed to take measurements only at specific times and transmit information, rather than operating continuously. This method is very effective in extending battery life since the devices do not need constant monitoring.
Another way is underclocking, which reduces the clock frequency of microprocessors. This sets the number of operations the microprocessor can perform per second. The slower the processor "thinks," the less energy it consumes. Some microcontrollers allow for programmable changes within certain limits, and for some, an external clock signal can be applied.
Sergei Shemshur, React Native Developer @ Stormotion
Another excellent way to extend battery life is to connect the IoT device to a stable power source, either the power grid or solar panels.
If the device is stationary, it can simply be plugged into the power grid, eliminating the need for all optimizations.
A solar panel can also be placed on the device's housing. If the device is well-lit, it may not even need battery replacements.
Another relatively new technology is WiFi energy harvesting. This is the process of capturing and converting ambient radio frequency (RF) energy emitted by WiFi networks into usable electrical energy. Simply put, an antenna is used on the device not just for data transmission (though it can be combined) but to "catch" electromagnetic waves. This approach is suitable for very low-power devices.
Sergei Shemshur, React Native Developer @ Stormotion
For example, Samsung has created a TV remote control that doesn’t need batteries, as it consumes energy emitted by WiFi routers.
There is also another type of harvesting that uses kinetic energy. For example, a wireless light switch that uses a kinetic converter instead of batteries. When you press the button, the kinetic movement of the switch generates the electrical impulse needed to send a signal to the receiver.
If devices are installed in inaccessible places or used in environments where there is no frequent physical access, it is crucial to design an IoT device that can operate on batteries. Tasks such as data acquisition or transmission require high power consumption, while between these actions, low-power sleep modes are used in such designs.
In this section, our experienced developer Serhiy Shemshur will discuss the methods, components, and strategies necessary for developing an IoT device with the required power management. Also, you can learn about the cost to develop IoT software.
Battery charging and discharging control must be carried out properly to maximize battery life and ensure operation. The idea of low-power sleep modes is common for managing energy use while maintaining appropriate operations. The choice of components is influenced by many factors, including how often data needs to be collected and transmitted. The type of data and the possibility of pre-saving and processing it on the device to reduce communication frequency also play a role.
In addition to microcontrollers, power consumption can be affected by voltage converters and low power IoT sensors used in the device.
IoT data collection is mostly done by sequential sampling of the considered IoT devices. For example, environmental sensors can collect data every few minutes and then switch to low-power mode. The dilemma is that during sleep mode, power consumption should be low, but the device must be able to wake up at a given time and function properly.
By leveraging low-power IoT devices and systems, coffee machines can operate efficiently and reliably, even in remote or energy-constrained environments.
(image by Stav D.)
This section presents some of the available devices ideal for developing low-power IoT systems. More precisely, not the power of the microcontroller or the design itself can significantly affect power consumption. These include deep sleep modes, IoT low power consumption in different modes/states, and compatibility with other components.
The Raspberry Pi Pico is one of the most popular microcontrollers on the market. It has built-in sleep modes, but it consumes slightly more power in sleep mode than the minimal possible. There are two main types: Pi Pico and Pi Pico W. The latter differs from the former by having a WiFi module, which makes consumption more costly.
PiCowbell Adalogger is an extension board for the Raspberry Pi Pico that simplifies the task of logging data from any sensors. It contains a real-time clock (RTC) module and a slot for a MicroSD card. This module provides more compact placement of elements.
The ESP32 microcontroller is widely popular for its low power consumption, which is only 0.25 mA in standby mode, making it ideal for integration with gateway systems in IoT networks. This makes it favorable for IoT devices, as it allows them to use available power most efficiently. The ESP32, on the other hand, is usually used in the industry, but it is somewhat more difficult to install compared to the Raspberry Pi Pico.
The ESP32 has an older sibling, the ESP8266. It is older, slower, and less powerful. And its consumption in sleep modes is higher. BUT it is much cheaper than the ESP32.
This is a very broad line of microcontrollers from STMicroelectronics. They have the L series, which is designed for ultra-low power devices.
But the disadvantage compared to the ESP32 is that you need to add a communication module, which is built into the ESP32. However, the L series wins in power consumption compared to the ESP32 by an order of magnitude, sometimes even two, consuming 20-100 nanoamps in the "shutdown" mode when only critical components are working.
Another important issue is designing appropriate control circuits to minimize power or use external timers or power management circuits.
There are practices like rejecting sleep and other built-in microcontroller means, and instead implementing certain actions for the microcontroller using simple components that will turn it on by a timer while it will spend the rest of the time turned off, consuming no power at all.
The disadvantage of such a system is the lack of control over the on and off time, that is, it will be as designed. If using sleep, it can at least be adjusted dynamically.
Use IoT low power devices to monitor and optimize the performance of air conditioning units in large buildings.
(image by Shakuro)
Resistor-based timers, such as those using the TPL5110 chip, can consume power in the nanoamp range. Using these timers, you can turn the microcontroller on and off at the right time and thus minimize the time the device spends in higher power mode. This means it is important to be especially careful with leakage currents and work diligently on the design to achieve ultra-low power consumption levels.
Zigbee is a low-power data transmission technology, similar to BLE. There is also a similar technology called LoRa. Zigbee is interesting because it creates a network rather than just transmitting to the main device. Data is transmitted from one device to another neighbor, reducing transmission power.
LoRa has higher consumption, but its transmission range is much greater in specification.
Comparing all three:
Despite theoretical calculations of battery life, real-world conditions often differ. Low power is a very complex balancing act between efficiency, cost, reliability, and battery life. You won't get the best results just on paper, so you need to make prototypes and test them in real working conditions.
Developing an application for low-power IoT devices is quite a complex task with many nuances. In this section,our developer, Serhii Shemshur, will demonstrate two examples: how to develop a program for a microcontroller and how to connect an app to an IoT device to receive data.
First, we will create a program for the ESP32 microcontroller using Arduino. Let's set up BLE and simulate reading the temperature every 5 seconds and sending it via BLE Notify. The condition is that after sending the temperature, the microcontroller enters deep sleep mode, ensuring energy savings.
Here is what it looks like:
The second part is a React Native app that connects to the IoT device, receives data from it, and displays the data. This app does not specifically implement low-power functionalities but focuses on simple Bluetooth connection and displaying the received information.
For BLE, we use react-native-ble-plx (the code handling permissions for Bluetooth access is omitted for brevity).
In these examples, we cover the basics of setting up a low power IoT device and connecting it to an application, demonstrating how to efficiently manage energy consumption on the microcontroller side while maintaining effective communication with the app.
IoT is not only changing the face of industries but is also providing new interfaces along with smart functionalities to devices and systems present in the network. Another subprogram that has been considered very influential in determining the future of IoT is the power consumption it is designed to work with, with emphasis on long periods without the need for constant recharging or replacement of batteries.
There is massive potential for the low-power IoT market in the near future. Analyzing market research, the low-power IoT global market volume is expected to demonstrate a CAGR of around 15% in the 2024-2031 timeframe. This growth is attributed to the rising use of efficient solutions in several areas, such as smart homes and industries. The low-power IoT market across the globe was valued at USD 7.8 billion before the end of 2023, and projections show that the numbers are set to grow as more fields integrate IoT solutions (MarketWise Research).
Among the key principles associated with low-power IoT, one can note energy efficiency and sustainability. According to EP&T, the market for IoT battery-based Wi-Fi is estimated to grow to 1 billion units by 2025, and the increase in sustainable practices in industries shows that more sustainable practices are being implemented. These concerns about low power consumption not only cut down the expenses of IoT solutions’ operation but also help to decrease the possible negative effects on the environment, suggesting that IoT solutions can be more effective in the long run.
It is forecasted that worldwide IoT connections will reach over 32.1 billion by 2033 (Statista). This exponential growth shows the increase in low power IoT applications and the ever-growing demand for low-power solutions for the tremendous number of IoT devices.
So, IoT technologies are set to become more pervasive in almost all fields, ranging from smart cities to healthcare, and hence are expected to drive further innovations in low power consumption techniques.
During 2017, with the assistance of the UNDP present, within the framework of an innovative project, we built the frontend for one of the biggest recreational parks in Europe (demonstrating how to develop IoT applications), which is located in Croatia, and brought us toward the enhancement of the visitor experience. The project was named Parkovi Hrvatske, and in this project, iBeacon technology was planned to be implemented, where accurate information about different tourist spots in the parks would be sent depending on the location of the tourist.
However, it is imperative to understand that during that period, using A-GPS and other Location-Based services was quite an expensive idea for tourists, mainly due to the extremely high roaming charges within the territory of the European Union. This posed a significant challenge: how could we deliver a seamless, informative experience to park visitors without burdening them with high data charges?
Our solution was to deploy iBeacons throughout the parks. These small, Bluetooth-enabled devices could interact with visitors' smartphones to provide precise location data. Here’s how we did it:
Offline Data Download: Visitors could download all necessary data over Wi-Fi at their hotels before heading to the parks. This ensured they had all the information they needed without incurring data charges.
iBeacon Integration: Upon entering the park, the iBeacons would be able to communicate with the visitors’ smartphones to determine their exact location and triggering the relevant content. This allowed visitors to access detailed information about their surroundings without needing an internet connection.
(image by Parkovi Hrvatske)
Cross-Platform Support: We developed support for iBeacons on both iOS and Android platforms, ensuring a wide range of users could benefit from the technology.
Seamless Offline Operation: The entire system was designed to work offline, providing a smooth and uninterrupted user experience.
With the abolition of roaming charges in the EU, the necessity for iBeacon technology in this context has diminished. As a result, the Parkovi Hrvatske project has been closed. However, this case study remains a testament to our ability to leverage technology to solve complex challenges and enhance user experiences.
Additionally, we invite you to visit our other article and read about the challenges for our IoT mobility and fitness clients.
Low Power IoT is revolutionizing many industries through efficient, sustainable, and long-lasting connectivity. We hope this article has shed light on the topic of Low Power IoT. Let’s recap the key points:
Thus, the ongoing search for solutions to reduce energy consumption while maintaining high operational speeds demonstrates that IoT low power devices can offer effective and reliable hardware and software solutions for a variety of applications.
If you have any questions on this topic or are looking for experienced developers to implement Low Power IoT, please reach out to us, and we will provide more details about our methodologies that ensure efficiency and sustainability for your projects with our IoT software development services
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Take a look at how we solve challenges to meet project requirements
At Stormotion, ensuring data security in our Low Power IoT deployments is paramount. We employ a multi-layered security approach that includes data encryption, secure communication protocols, and regular security updates. Each device uses encrypted storage to safeguard sensitive information, while secure boot mechanisms ensure that only authenticated firmware can run on the devices. We also utilize secure over-the-air (OTA) updates to keep devices up-to-date with the latest security patches, ensuring robust protection against evolving threats.
Optimizing energy efficiency in our IoT solutions involves a combination of hardware and software strategies. We begin by selecting energy-efficient components, such as low-power microcontrollers and sensors. Our software design includes implementing power-saving modes like deep sleep and idle states, which significantly reduce power consumption when the device is not active. Additionally, we use advanced data transmission protocols, such as Bluetooth Low Energy (BLE) and LPWAN, to minimize the energy required for communication. Continuous monitoring and testing help us fine-tune these settings to achieve optimal battery life.
Integration with existing systems is a critical aspect of deploying Low Power IoT solutions. We ensure compatibility by designing our IoT devices with versatile communication interfaces and supporting standard protocols like MQTT, HTTP, and CoAP. Our solutions are easily adaptable to various platforms, including cloud services and on-premises infrastructure. We also provide comprehensive API documentation and support to facilitate seamless integration. Our team works closely with clients to understand their specific requirements and tailor our solutions to fit within their existing ecosystem.
Absolutely! At Stormotion, we understand that different industries have unique requirements. Our Low Power IoT solutions are highly customizable to meet the specific needs of various sectors, including healthcare, agriculture, transportation, and smart cities. We offer bespoke hardware and software configurations, allowing us to tailor the device functionalities, communication protocols, and data management systems to align perfectly with industry-specific use cases. Our agile low power IoT development process ensures that we can quickly adapt to new requirements and deliver solutions that provide maximum value.
We have extensive experience in developing low-power IoT solutions for a range of industries. In the wellness sector, our solutions include wearable health monitors that track vital signs while maintaining long battery life through efficient power management. For the mobility sector, we have developed IoT-enabled micromobility vehicles equipped with advanced tracking and diagnostic features, optimized for low power consumption to extend operational time between charges. Our portfolio showcases successful deployments and case studies that highlight our expertise in creating innovative, energy-efficient IoT solutions tailored to the specific needs of different industries.
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