January 20, 2012 – Fluke Networks has announced that its AirMagnet wireless planning technology has been chosen by D-Link Corp. to power its new Wi-Fi planning solution—the D-Link Wi-Fi Planner. IT managers and engineers deploying D-Link-based wireless infrastructure will now be able to leverage the industry’s leading wireless LAN (WLAN) planning software, specifically optimized for their wireless environment, said Fluke.

“Proper planning and design is a critical step in the wireless lifecycle, whether deploying a new network, migrating legacy technology or validating an existing WLAN. To ensure our customers have the best tools to accomplish these goals, we’ve chosen Fluke Networks’ technology and are excited to launch the D-Link Wi-Fi Planner, powered by AirMagnet,” said Anthony Lai, VP of business development at D-Link. “Our longstanding partnership with Fluke Networks allows us to deliver powerful WLAN planning and design functionality that provides superior predictive modeling to help users determine ideal quantity, placement and configuration of D-Link WLAN infrastructure for optimal security, performance and compliance.”

“D-Link is a global leader in business network connectivity, and we couldn’t be more proud or excited to be integrated into their solution and together, provide their customer base with a world-class combination of technology,” added Chia-Chee Kuan, VP of the Fluke Networks WLAN business unit.

D-Link Wi-Fi Planner is a wireless network planning tool that allows a user to model the Wi-Fi network and provide a reliable predictive map of Wi-Fi signal and performance by accounting for building material and environment conditions, explained the company.

It also includes built-in automated tools to help users with their migration strategy from existing legacy 802.11a/b/g networks to 802.11n technology. The tool is compatible with all available D-Link APs, in addition to Unified Wireless APs.

Noting it as the “number 1 solution” in the market today, D-Link boasts that AirMagnet offers predictive modeling to determine the ideal quantity, placement and configuration of Access Points (APs) for optimal security, performance and compliance.