Internet Of Things Devices

This paper explores the transformative impact of wearables and AI on healthcare workflows and patient care, focusing on enhanced efficiency, personalization, and cost-effectiveness. 1️⃣ IoMT (Internet of Medical Things) market is rapidly growing, projected to increase from $50.3 billion in 2020 to $135.87 billion by 2025, highlighting a significant shift toward digital health adoption. 2️⃣ Wearables have diverse applications, monitoring both biological factors (e.g., saliva, sweat) and utility-based measurements (e.g., smart fabrics, implants) to enhance patient data collection. 3️⃣ Real-time monitoring through wearables and AI supports early disease detection and continuous tracking, facilitating better treatment adherence and fewer hospital visits. 4️⃣ Patient interest in remote monitoring is strong, with 79% willing to use mobile ECG tools, and 74% feeling safer with constant monitoring, demonstrating growing acceptance of self-managed care. 5️⃣ AI-assisted monitoring with wearable sensors achieves high accuracy, including 97% accuracy in detecting atrial fibrillation, outperforming traditional methods. 6️⃣ AI models like deep learning and neural networks enable predictive diagnostics and personalized treatments, demonstrating 80% accuracy for heart disease, 80% for blood infections, and 94% for cancer detection. 7️⃣ Integration challenges include data management, EHR integration, privacy, bias, and transparency, all of which must be addressed to foster trust among healthcare providers and patients. 8️⃣ Automation potential is significant, with AI transforming tasks like medical billing, coding, and lab workflows, reducing errors and freeing up resources for patient care. 9️⃣ Future healthcare will increasingly depend on AI and wearables, reshaping patient management, especially for aging populations, and enabling personalized, real-time care delivery. 🔟 AI and wearables promise a comprehensive transformation of healthcare, enhancing efficiency, personalizing treatments, and reducing costs while overcoming obstacles to data integration and physician-patient trust. ✍🏻 Perry LaBoone, PE, CPA, PMP, Oge Marques. Overview of the future impact of wearables and artificial intelligence in healthcare workflows and technology. International Journal of Information Management Data Insights. 2024. DOI: 10.1016/j.jjimei.2024.100294

What themes will keep #IoT vendors and adopters busy in 2025? 🤔 Here are my quick thoughts for 2025 based on recent signals and growing trends: 1️⃣ Edge Computing 🌍 The need to run IoT workloads locally—where data is produced—will grow. Drivers like cost efficiencies, regulations, privacy concerns, unstable connectivity, and latency will push this demand. While the cloud remains critical, cloud-to-edge flows and requests for cloud-like capabilities at the edge will dominate discussions across industries. 2️⃣ Generative AI + IoT (#GenAIoT) 🤖 Combination of #GENAI with IoT will become a thing, in three key areas: • Optimizing #Maintenance: Real-time IoT data + manuals/SOPs = standardized processes, improved worker productivity, faster onboarding, and reduced costs. • New Data #Insights for connected products: Unlock patterns in product usage, user habits, and market trends to drive new revenues. • GENAI at the #Edge: A growing exploration area as businesses seek to understand the what, how, and why. 3️⃣ Data #Foundations 📊 Prioritization to build a proper data foundation , either by modernizing tech stacks or starting fresh, for scalable AI deployments, Digital Twins, data sharing, and simplifying IoT ecosystem collaboration. 4️⃣ Security as #Differentiation 🔒 IoT vendors will invest more in security (a must!) while proactively promoting security features as a competitive advantage. 5️⃣ #Regulation, #Cost Optimization & #Sustainability 🌱 These drivers will fuel IoT adoption in energy, manufacturing, logistics, and the public sector. Expect growing momentum in healthcare, tourism, well-being, and aerospace/defense. 6️⃣ Tech #Synergies & Interoperability 🤝 Combining successfully IoT with Edge, #AI, GENAI, and #Spatial tech can define success. Open ecosystems and interoperability across machines, vendors, and protocols will be critical—especially with AI #Agents needing diverse IoT data inputs. 💬 Do these resonate with your view of IoT themes for 2025? What would you add— #eSIMs, #5G, hardware cost reductions? Let’s discuss! 🚀 One thing is clear: It’s still Day 1 for IoT, with plenty of scaling, but also with exploration ahead. 🥂Cheers to an exciting year for #IoT! #IoT2025 #IoTPredictions #InternetofThings #EdgeComputing #GenerativeAI #iotforall #IoTCouncil IoT For All #DimitriosIoT

Edge capability and conditional transmission ... How edge computing on LPWAN devices extends the battery life by factor of 4 As industrial IoT systems continue to scale across critical infrastructure—pipelines, reservoirs, remote assets, and urban utilities—one question persists across all engineering teams: "How do we make the device smarter without draining the battery faster or make the firmware more complex?" The answer is not in more power—it’s in more intelligence at the edge. > What Is #EdgeCapability in #LPWAN Devices? Edge capability refers to the ability of the device to process and analyze data locally, before deciding whether to transmit it over the network. This is a critical advancement in the design of battery-powered LPWAN devices—whether #LoRaWAN, #NB-IoT, or #LTE-M. Instead of blindly transmitting data at fixed intervals, smart edge devices evaluate conditions such as: - Threshold violations (e.g., pressure above X bar) - Anomalous patterns (e.g., sudden temperature spike) - Predictive failure signals (via trend detection) Only when action is needed, do they transmit. > Why Conditional Transmission Changes the Game Let’s take a real-world example from our deployments at Ellenex: - Scenario A: Traditional Mode Transmit every 15 minutes (fixed schedule) 96 transmissions/day Average battery life: < 1 year - Scenario B: Edge Mode with Conditional Transmission Sample every 5 minutes Transmit only when threshold conditions are met or at max once per day 1–5 transmissions/day depending on conditions Average battery life: 3.5–4 years By eliminating unnecessary network sessions, power-hungry radio activations, and overhead from MAC layer interactions, energy usage drops dramatically. > Implications for Industrial Use Cases Water Utilities can detect leaks without flooding the network with data. Smart Agriculture devices react only to critical soil moisture levels, not morning dew. Asset Monitoring for pressure, level, vibration, or flow becomes cost-effective in remote areas. And most importantly: maintenance intervals are extended dramatically. Battery replacements become rare events, not monthly line items. > What This Means for Product Designers When we design LPWAN devices at Ellenex, edge intelligence is not optional—it’s a core requirement. Every mA-hour counts. We, at Ellenex Industrial IoT, design products with: - Smart wakeup logic - Configurable edge thresholds - Modular firmware to enable OTA updates of local logic Because the edge is not just about faster insights—it’s about operational viability. Final Thought Nowadays, data is only valuable when it's actionable—and battery life is only long when data knows when not to leave the device. Edge capability + conditional transmission provides longer life, smarter systems, and scalable deployments. If you're still pushing data every 15 minutes—it is time to re-think 🤔 . #monitoring #IoT #ellenex #EdgeComputing #LPWAN #batterylife

Embedded software engineering isn’t just about writing code in an AC room… sometimes, it means testing your ESP32 firmware under the hot sun, with dust in your laptop bag. As an IoT firmware developer working with ESP32, I’ve come to realize something very real: What works perfectly in the IDE… can crash and burn in the real world. In the lab: ✅ Stable power supply ✅ Reliable serial monitor ✅ Fast Wi-Fi In the field: ⚡ Power drops ❌ Wi-Fi range issues ☀️ Harsh environments 🤯 And random resets that make no sense I remember one field test where my ESP32-based sensor node randomly rebooted every few minutes. I thought it was a bug in my code… Turns out — brownout detection was kicking in due to voltage dips. That’s when I learned: IoT firmware isn’t about perfection in the lab — It’s about survival in the real world. What ESP32 field testing taught me: 1️⃣ Watchdog timers and brownout handling are non-negotiable 2️⃣ Retry logic for Wi-Fi and MQTT is a must 3️⃣ Use NVS (non-volatile storage) to save crucial data between reboots 4️⃣ Add OTA updates — once deployed, field updates can be life-saving 5️⃣ Battery management matters — especially in remote IoT deployments Why it excites me: Because it’s not just about blinking LEDs. It’s about building connected intelligence that can sense, communicate, and endure. ESP32 has shown me how powerful and fragile embedded systems can be — all at once. Have you ever taken your ESP32 project out into the real world? What’s the most unexpected issue you faced? Let’s share those stories — they help all of us grow. #ESP32 #IoT #FirmwareDevelopment #EmbeddedSystems #RealWorldTesting #Microcontrollers #EdgeComputing #CProgramming #WiFi #OTAUpdates #EngineeringLife

Empowering Farmers Through Digital Innovation and Regenerative Agriculture: Solidaridad’s Transformative Impact in India!! During a recent visit to Solidaridad Network’s Smart Agri Hub in Bhopal, I witnessed firsthand the remarkable strides being made to revolutionize agriculture across 12 Indian states. By bridging the digital divide, Solidaridad is empowering over a million farmers with contextual, personalized advisories that address their unique challenges. From real-time hyper-local weather forecasts and pest infestation alerts to tailored agronomic advice, this initiative is equipping farmers with tools to make informed decisions, boost productivity, and mitigate risks in an unpredictable climate. The Smart Agri Hub exemplifies innovation in action. By leveraging mobile platforms and IoT-enabled solutions, farmers receive timely insights—like adjusting irrigation before a drought or treating crops ahead of pest outbreaks—transforming reactive practices into proactive strategies. This digital ecosystem not only safeguards livelihoods but also fosters resilience, enabling smallholders to thrive amid climate volatility. The visit also included the Nico Roozen International Center of Excellence for Regenerative Agriculture, a hub pioneering sustainable farming practices. Here, research and on-ground training converge to promote soil health, biodiversity, and low-carbon techniques, ensuring agriculture remains viable for future generations. None of this would be possible without the visionary leadership of Dr.Suresh Motwani and his dedicated team, whose passion for farmer welfare and environmental stewardship is palpable. Their holistic approach—merging technology, education, and ecology—is setting a global benchmark for inclusive, regenerative agriculture. As India’s farmers face mounting challenges, Solidaridad’s work offers a blueprint for empowerment through innovation. It’s inspiring to see how digital tools and sustainable practices can uplift communities, turning vulnerability into vitality. The future of farming is bright—and it’s being cultivated in Bhopal today.

To ensure secure IoT communications and transactions, it is essential to understand potential threats, strengthen device security, use encryption, manage identities and access, segment networks, establish security policies, and continuously assess and mitigate risks. Understanding Threats Comprehending threats such as DDoS attacks, Man-in-the-Middle (MitM) attacks, and malware infections is crucial for implementing robust cybersecurity measures to protect IoT devices and the data they handle. Strengthening Device Security Implement robust authentication mechanisms, regular security updates, and secure configurations for IoT devices to ensure that only authorized users and devices access the network and that vulnerabilities are minimized. Using Encryption Utilize encryption for data in transit with protocols like TLS, and for data at rest to ensure that sensitive information is protected from unauthorized access and interception during transmission and storage. Managing Identities and Access Implement Role-Based Access Control (RBAC) and maintain comprehensive monitoring and logging of all activities to manage user permissions and quickly detect and respond to suspicious behavior within the IoT ecosystem. Segmenting Networks Isolate IoT devices from the main network and use firewalls along with Intrusion Detection/Prevention Systems (IDS/IPS) to limit the potential impact of any security breaches, keeping the overall network secure. Establishing Security Policies Educate employees on the importance of IoT security and best practices, and have a defined incident response plan to ensure the organization is prepared to handle security threats effectively and efficiently. Continuous Risk Assessment Conduct regular risk assessments and implement a vulnerability management program to identify, evaluate, and address security weaknesses in IoT devices, maintaining a proactive security posture. #IoT #Cybersecurity #DataProtection Ring the bell to get notifications 🔔

IoT isn’t just about being connected anymore, it’s about being intelligent. In 2025, IoT devices aren’t waiting for instructions. They’re predicting, optimizing, and learning right on the edge. But some teams are still building like it’s 2018 - cloud-dependent, isolated, and reactive. Here’s some key directions where IoT is really heading: ➞ AI is no longer optional From Amazon Ring to GE Healthcare, devices are now making real-time decisions without the cloud. AI-powered IoT is becoming the baseline, not the bonus. ➞ Edge is everything Latency, privacy, and performance all improve when you move compute to the device. It’s why predictive maintenance, diagnostics, and even bird call detection now happen locally. ➞ TinyML is punching way above its weight With kilobytes of memory, microcontrollers are running AI models in forests, wearables, and industrial sensors - unlocking new use cases where cloud isn’t viable. ➞ Privacy and OTA updates are non-negotiable Consumers expect encrypted, local-first data handling. And secure over-the-air updates are the only way to future-proof devices post-deployment. ➞ The ecosystem is finally opening up Thanks to standards like Matter, devices from Apple, Google, Amazon, and Samsung can now speak the same language - meaning better UX and faster adoption. These aren’t just trends, they’re a new operating system for connected products. Check the full carousel to explore the 10 IoT shifts your product roadmap must account for in 2025. Question for IoT leaders: Are your devices still just connected or are they becoming truly intelligent? ♻️ Repost if you found this helpful ➕ Follow me, Nick Tudor, for more IoT and AI insights that move the needle.

𝗜𝗼𝗧 𝘁𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝗶𝗲𝘀 𝗮𝗿𝗲 𝗺𝗼𝘃𝗶𝗻𝗴 𝗯𝗲𝘆𝗼𝗻𝗱 𝘁𝗵𝗲 𝗵𝘆𝗽𝗲 𝘁𝗼 𝗰𝗼𝗻𝗻𝗲𝗰𝘁 𝗿𝗲𝗮𝗹-𝘄𝗼𝗿𝗹𝗱 𝗶𝗻𝗱𝘂𝘀𝘁𝗿𝗶𝗲𝘀 𝗮𝗻𝗱 𝗲𝗻𝗮𝗯𝗹𝗲 𝗔𝗜-𝗽𝗼𝘄𝗲𝗿𝗲𝗱 𝗮𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀. IoT devices deliver real-world, real-time operational data, allowing corporate transformation in AI as the connected devices provide critical information for AI training and inference, so they use their data to automate and optimize physical activities. According to IoT Analytics' State of IoT Summer 2024 report, 16.6 billion IoT devices were connected in 2023, up 15% from 2022. IoT Analytics predicts 13% growth to 18.8 billion by 2024. Despite the macro concerns, 51% of enterprise IoT users want to increase their budget in 2024 (22% expect a 10%+ increase from 2023). Giesecke+Devrient (G+D) highlights five trends in the future fusion of IoT and AI. 1. AI and ML are set to revolutionize IoT, creating intelligent systems that can adapt and learn. AI/ML is revolutionizing IoT. By processing massive volumes of data, AI enhances predictive maintenance and energy management in #IoT applications. The analytical power of AI, combined with IoT's data collection and monitoring capabilities, creates an ecosystem that provides better operational insights. This integration makes IoT systems more innovative and responsive. 2. Edge computing enhances IoT. Edge computing processes or preprocesses data near the source, decreasing automobile data delivered to a central data center—real-time applications like manufacturing automation benefit from edge computing's low latency. The growth of #5G networks will boost device connectivity and data processing speed. AI and #ML integration with edge computing is predicted to improve, allowing edge devices to make sophisticated decisions independently. 3. Blockchain secures IoT devices. #Blockchain is playing an increasingly significant role in IoT security. As IoT devices handle sensitive data and its integrity, blockchain's decentralization and ability to verify data transactions are crucial. Blockchain can help protect IoT from growing cybersecurity threats, ensuring the data's security and integrity. 4. SGP.32 streamlines IoT management. The GSMA introduced the remote SIM provisioning specification SGP.32 in May 2023. This specification eliminates needing Wi-Fi or Bluetooth connectivity when commissioning an IoT device. In SGP. 32, a faster and more stable IP-based protocol replaces SMS-based communication. This allows devices to receive SIM login info and settings over the air, simplifying IoT SIM profile loading, activation, and management. 5. IoT is not just about technology; it's about driving sustainability across sectors and positively impacting the environment. Finally, IoT will drive sustainability across industries. Modern, energy-efficient sensors and #AI enable precise resource management monitoring and control.

👩🎓 Energy consumption with #LPWAN nodes 👩🎓. Articles on energy consumption in the LPWAN world are often written by marketing staff with no knowledge of electrical engineering, radio technology or physics. This often results in incorrect texts that editors repeat without specialised knowledge. 🔋 Energy = voltage x current x time. Looking only at the peak current is technically incorrect. Due to its 23 dBm transmission power, #NBIoT automatically has a higher peak current than 14 dBm with #LoRaWAN or Sigfox. The peak currents of LPWAN SoCs have fallen in recent years due to improvements in the power amplifiers. 🔋 The standby currents for all LPWAN technologies are now so low that they are no longer so important compared to the energy consumption for TX. A standby current of 2 to 3 uA is required to store data in RAM and keep the MCU in operation. In addition, there are currents for sensors and self-discharge of the battery. In total, this is often 8 to 10 uA. ‼️ As NB-IoT has to reattach before transmitting, and there is no reattachment with #Mioty, #Sigfox and #LoRaWAN, #NBIoT requires the most energy. LPWAN technologies in the licence-free band transmit without synchronisation (Aloha principle). 😀 As Mioty requires approximately 3.5 times less time for 13 bytes than LoRaWAN, Mioty is the benchmark in energy consumption. With the #STM32WL3 SoC, energy consumption during transmission has been reduced again. The result is 24 mWs with a 161 dB link budget. LoRaWAN requires 220 mWs, Sigfox approximately 800 mWs and NB-IoT approximately 12000 to 24000 mWs. 🌐 Globally, Mioty is the most modern LPWAN. Its energy consumption is the lowest, it has the widest range of functions and the largest frequency range. It also provides the longest range and the best forward correction. 💰 Because the battery is the most expensive component in an LPWAN sensor and Mioty SoC only costs approximately 1 Euro, a Mioty sensor is unbeatable in price. If you combine Mioty with NBIoT /LTEM you get the largest area with the lowest energy consumption. Mioty with drones and aircraft enables the cheapest NTN networks worldwide. 📉 The peak current of LPWAN SoCs (NB-IoT, LTE-M, Mioty, Sigfox and LoRaWAN) has fallen several times in recent years. The time requirement is constant for the LPWAN because nothing has changed in the modulation and the protocol for 13 bytes has remained constant for almost 10 years. LPWAN 13 bytes: 🔹 NB-IoT (164 dBm) 53000 mWs 🔹 NB-IoT (154 dBm): 5300 mWs 🔹 Sigfox (156 dBm): 810 mWs 🔹 LoRaWAN (161 dBm): 222 mWs 🔹 Mioty ER (167 dBM): 196 mWs 🔹 Mioty Standard (161 dBm): 49 mWs 🔹 Mioty Standard with STM32LW3 (161 dBm): 24 mWs If you use newer LoRa SoCs, it becomes slightly less than 222 mWs. LoRa will never reach 24 mWs. 🏫 In the "Beyond LPWAN" webinar, we go into the innovations explained by experts. Be part of it. Register without obligation in the comments below. harald.naumann (at) antennity .com