Everactive combines very low power requirements with electricity generated from ambient energy to make IoT sensors that need no batteries. Credit: Huawei A startup founded by two MIT grads says that it can deploy self-powering sensors to handle low-intensity IoT tasks, eliminating the need for batteries or power cabling and adding a new level of flexibility to IoT deployments. Ben Calhoun and Dave Wentzloff are the founders of Everactive, an IoT-device startup whose sensor modules can create their own power from a variety of sources, including indoor solar that gathers energy from artificial lighting, and thermal-gradient differential using waste heat to generate electricity. These techniques don’t generate a lot of power but don’t need to for Everactive’s purposes. The sensors themselves can monitor for temperature, humidity, light levels, vibration, movement, sound, and pressure, among other things. The sensors attack the power problem from the demand side, as well. The company employs sub-microwatt wakeup receivers for its radios, ultra-low-power integrated circuits, and other power-saving technology that allows the sensors to operate with minimal power. Both thermal-gradient power and indoor solar are relatively well-understood technologies, but the ability to combine them with devices that have very low power consumption is what the company says allows it to offer completely self-powered IoT sensor networks. Everactive bills itself as a full-stack solution, sending data via a proprietary low-power network directly to an on-premises gateway that’s able to handle hundreds of sensors at a time and that connects to Everactive’s Evercloud back-end for monitoring and analysis. The broadcast range of a sensor is 800 feet. The protocol used by the sensors doesn’t use duty cycling or other transmission halts to save energy, so the network is always active. The sensors transmit on a sub-GHz frequency so it propagates well through walls and other objects. The real monetary value of self-powered IoT sensors is mostly in operational savings, the company says. A deployment of several thousand battery-powered sensors, even with lifespans of several years at a time, represents a substantial sum in work hours to replace batteries, plus the cost of the batteries themselves. Self-powering also makes certain IoT use cases much more practicable. For example, Changing the batteries in a sensor monitoring the rim of a volcano is not a trivial task, so these sensors could be a boon to IoT networks with sensors in similarly remote or dangerous locations. The company’s showpiece product, so far, is a monitoring system for steam-traps—valves that vent waste materials without actually losing any live steam in the system. By using its networked sensors, facility operators whose duties include monitoring steam traps can see potential problems remotely as they happen instead of manually inspecting the traps and never have to replace batteries. Other use cases, including remote-asset monitoring, are under development. Related content news analysis Western Digital keeps HDDs relevant with major capacity boost Western Digital and rival Seagate are finding new ways to pack data onto disk platters, keeping them relevant in the age of solid-state drives (SSD). By Andy Patrizio Dec 06, 2023 4 mins Enterprise Storage Data Center news analysis Global network outage report and internet health check Cisco subsidiary ThousandEyes, which tracks internet and cloud traffic, provides Network World with weekly updates on the performance of ISPs, cloud service providers, and UCaaS providers. By Ann Bednarz and Tim Greene Dec 06, 2023 286 mins Networking news analysis Cisco uncorks AI-based security assistant to streamline enterprise protection With Cisco AI Assistant for Security, enterprises can use natural language to discover policies and get rule recommendations, identify misconfigured policies, and simplify complex workflows. By Michael Cooney Dec 06, 2023 3 mins Firewalls Generative AI Network Security news Nvidia’s new chips for China to be compliant with US curbs: Jensen Huang Nvidia’s AI-focused H20 GPUs bypass US restrictions on China’s silicon access, including limits on-chip performance and density. By Anirban Ghoshal Dec 06, 2023 3 mins CPUs and Processors Technology Industry Podcasts Videos Resources Events NEWSLETTERS Newsletter Promo Module Test Description for newsletter promo module. Please enter a valid email address Subscribe