Sensity Systems, a US-based provider of an Internet of Things (IoT) platform for smart cities, has added Core Node EX-C to its NetSense Core Node product range, which enables outdoor smart lighting and sensor data to use cellular data networks.

The new product helps the implementation of smart LED lighting controls in residential, suburban and other areas of a city or metropolitan area that lack sufficient Wi-Fi coverage.

Sensity COO Sean Harrington said: "The addition of the cellular core node to our product portfolio means that cities can now make their suburbs as smart as their central business districts.

"This extension of the Sensity product line will enable cities to achieve even greater energy efficiencies through real-time adaptive lighting algorithms."

"By filling a gap in cities’ smart lighting capabilities, Sensity is once again helping to lead the Smart City revolution."

Sensity has worked with the AT&T to enable its new cell core node technology. The new technology takes the advantage of the cellular coverage that is present almost everywhere in the populated regions.

Core Node EX-C offers complete outdoor LED lighting control, which includes scheduling, dimming, ambient light detection, and energy monitoring and management.

Optional auxiliary port enables motion-based lighting control, environmental temperature sensing, and auxiliary power and sensor expansion capabilities.

Sensity vice president for product management David Tucker said: "This extension of the Sensity product line will enable cities to achieve even greater energy efficiencies through real-time adaptive lighting algorithms.

"There’s no reason why residential areas shouldn’t have the benefit of the most advanced lighting control products available, while also laying the foundation to run Smart City applications of the future."

Most of the Sensity Smart City applications address urban concerns that include parking management, public safety in large gatherings of people and traffic congestion and use the high throughput and low latency of Wi-Fi networks.