Location History:
- Seattle, WA (US) (2022)
- Bellevue, WA (US) (2023)
Company Filing History:
Years Active: 2022-2023
Title: The Innovations of Ben Hoobler
Introduction
Ben Hoobler is an accomplished inventor based in Seattle, WA. He has made significant contributions to the field of wireless technology, holding a total of 2 patents. His work focuses on optimizing data transport networks for wireless devices, enhancing performance and user experience.
Latest Patents
One of Ben Hoobler's latest patents is titled "Greedy user equipment data transport network selection." This invention allows a wireless device to determine whether a data session is performance sensitive. In response to this determination, the device selects a data transport node (DTN) to perform the data session. The selection process may involve analyzing information related to the data session, monitoring its performance, or both. The DTN is chosen from a list of available options based on which node is likely to provide the highest performance. Additionally, micro speed tests and historical performance data can be utilized to predict the effectiveness of the available DTNs. When multiple DTNs meet the selection criteria, a 'good neighbor' policy is employed to make the final choice.
Career Highlights
Ben Hoobler is currently employed at Opanga Networks, Inc., where he continues to innovate in the field of wireless communication. His expertise in data transport network selection has positioned him as a key player in the development of advanced wireless technologies.
Collaborations
Throughout his career, Ben has collaborated with notable colleagues, including Ben Hadorn and John M Burnette. These partnerships have fostered a creative environment that encourages the development of cutting-edge solutions in wireless technology.
Conclusion
Ben Hoobler's contributions to wireless technology through his patents and collaborations highlight his role as a significant inventor in the field. His work continues to influence the way data transport networks are optimized for performance-sensitive applications.