Today’s businesses need high-performing wireless networks to function. When a network goes down – or even when it’s just operating slowly – work grinds to a halt, and profits take a dive as a result.

However, when a network problem arises, pinpointing the issue can be challenging and time-consuming, often involving significant disruptions.

This case study explores how TPK Advanced Wireless utilized its innovative AI-driven solution, Wyebot, to proactively troubleshoot and resolve complex network issues for a client experiencing persistent problems with voice and video communications. The vendor suspected the Wi-Fi network was at fault, but the real culprit lay elsewhere.

Client Profile

The client, a large health care provider depends heavily on seamless voice and video communication for daily operations. Their network must support frequent high-bandwidth and low-latency voice/video streams across various departments.

Despite a sophisticated setup, the client faced recurrent disruptions in video conferences and voice calls, which they initially attributed to their Wi-Fi network. The situation impacted their operational efficiency and threatened to affect patient care.

Specifically, the client experienced intermittent latency and poor quality in video and voice communications, which were initially blamed on the Wi-Fi network’s performance. This diagnosis led to repeated, yet unsuccessful, attempts to enhance network stability through standard troubleshooting methods. The persistent nature of the issue began to frustrate the business units and raised concerns about potential long-term impacts on their patients care and safety.

TPK’s Diagnostic Approach

TPK Advanced Wireless proposed a different approach to diagnose the issue. Instead of focusing solely on the Wi-Fi network hardware, TPK suggested using Wyebot, their AI-driven wireless intelligence platform, to conduct a comprehensive analysis of the network’s performance.

Wyebot was deployed in the client’s environment, specifically where the cameras showing latency were located. It was configured to replicate the exact conditions of the devices experiencing issues by using the same SSID, frequencies, VLANs, and Roles.

Wyebot performed several diagnostic tests to assess the network’s capabilities:

• “Link Doctor” Test: Wyebot’s comprehensive test of 7 distinct stages of connectivity to ensure proper and timely association to the network (e.g. authentication, DHCP, DNS resolution, ping tests)
• AirTime Utilization: Measured of the percentage of the channel is being used by both Wi-Fi and Non-Wi-Fi sources. The higher the percentage the less access devices have to the wireless medium.
• Noise Floor: Measured the amount of ambient background signals noise that makes communication between an Access Point and client more difficult.
• Non Wi-Fi Interference: Identifying the effects of devices that are not Wi-Fi capable, but that contribute to the noise floor, such as Bluetooth devices, microwaves, motion sensor devices, fluorescent lights, etc.
• iPerf Tests: Wyebot conducted bandwidth tests using an iperf server located on the same VLAN and in the same data center as the vendor’s camera server. These tests were designed to measure the actual data throughput against expected performance levels.
• Voice and Video Test: Simulated Zoom call was performed and analyzed to provide metrics complete with a MOS score.
• PCAP: Packet captures were taken and analyzed using Metageek Eye PA

Analysis and Findings

The comprehensive data collected by Wyebot provided clear insights that contradicted the initial assumptions about the Wi-Fi network’s inadequacy. Initial association the Wi-Fi network showed no problems.  The DHCP response time was recorded at 16 milliseconds, well below the acceptable threshold of 2 seconds.  AirTime utilization was consistently less than 10% across all 5 GHz channels.  Noise Floor and Non Wi-Fi interference analysis showed no anomalies. The iPerf test to the same data center showed a download speed of 76 Mbps and an upload speed of 101 Mbps, comfortably exceeding the vendors required threshold of 50 Mbps for both.  Even the simulated voice/video stream consistently measured a MOS score of 5 (highest possible value)

Advanced PCAP analysis showed no communication failures between the client devices and Access Points.  Packets were being sent and acknowledged as expected with retry rates of only 1%.

These results indicated that the Wi-Fi network was functioning correctly and was not the source of the latency issues affecting voice and video communications.

Solution Implementation

With the network cleared of any deficiencies, the focus shifted to the server configurations used by the client for voice and video communications. TPK Advanced Wireless worked closely with the client’s IT team to audit and optimize the server settings. The investigation revealed that the server responsible for handling the communications was misconfigured, leading to unnecessary processing delays and bandwidth bottlenecks.

Corrective actions included reconfiguring the server settings for optimal performance and conducting further tests to ensure that the adjustments had resolved the issues. Wyebot continued to monitor the network to confirm the stability and efficiency of the communications were maintained post-adjustment.

The results of this investigation show that the solution to network problems is often not complicated—it is diagnosing the problem correctly in the first place that is the hard part. That is where Wyebot excels.

Results and Benefits

The resolution of the server issues led to immediate improvements in the quality and reliability of the client’s voice and video communications. The proactive diagnostics and swift resolution provided by Wyebot not only saved the client significant time and resources (which would have been spent on manual troubleshooting and potential on-site visits) but also enhanced their overall confidence in their network infrastructure.

• Operational Efficiency: The reduction in downtime and disruptions allowed employees to maintain higher productivity levels and better focus on their core responsibilities.
• Customer Satisfaction: Improved communication capabilities resulted in better client interactions and service delivery, directly influencing customer satisfaction and retention.
• Cost Savings: By utilizing Wyebot’s AI-driven diagnostics, the client saved on potential travel costs and on-site diagnostics labor that would have been required to identify and resolve the issue. All tests mentioned previously were performed and results recorded within minutes of plugging in the sensor and continued at predetermined intervals throughout the week recording any anomalies.

Dealing With Network Issues? Try Wyebot Before Anything Else

When network issues slow down your business, every minute counts. That’s where Wyebot by TPK Advanced Wireless steps in, proving that the right tool can turn days of troubleshooting into mere minutes of strategic action. This case study demonstrates how Wyebot’s AI-driven technology doesn’t just fix problems—it prevents them, and saves businesses like yours time, money, and a lot of headaches.

Results and Benefits:

• Faster Problem-Solving: The swift identification and resolution of server issues meant that what could have been days of diagnostics turned into just a few hours of focused fixes.
• Better Business Operations: With fewer disruptions, employees enjoyed a smoother workflow, which means your business does what it does best, without the pauses.
• Happy Customers, Happy Business: Improved stability and speed in communications lead to better interactions with patients, enhancing customer satisfaction and loyalty.
• Cost Efficiency: Using Wyebot helped the client avoid expensive on-site troubleshooting, making it a smart choice for the budget-conscious business.

Take Action with Wyebot:

Don’t let network issues put a pause on your productivity. Discover how Wyebot by TPK Advanced Wireless can make your network issues a thing of the past. Visit our website or contact our team today for a live demo. Experience firsthand how Wyebot transforms network challenges into smooth sailing.