  Named Data Networking (NDN) is a top-notched architecture to deal with
content distribution over the Internet. With the explosion of video streaming
transmission and future massive Internet of Things and Vehicles (IoT/IoV)
traffic, evolving Wi-Fi networks will play an essential role in such
ecosystems. However, Native NDN deployment over wireless networks may not
perform well. Wi-Fi broadcasts/multicasts result in reduced throughput due to
the usage of basic service mode. Despite recent initial works addressing that
issue, further studies and proposals are required to boost the adoption of
Native NDN. We advocate that an initial step towards designing a feasible
Native NDN over wireless networks should be understanding the challenges in
emerging scenarios and providing a uniform baseline to compare and advance
proposals. To this end, first, we highlight some challenges and directions to
improve throughput and energy efficiency, reduce processing overhead, and
security issues. Next, we propose a variant of NDN that minimizes the problems
identified by performing transmission via unicast to avoid storms in wireless
networks. Finally, we conducted a performance evaluation to compare Standard
Native NDN with our proposal on Wi-Fi 6 vehicular networks. The results show
that our proposal outperforms the Standard NDN in the evaluated scenarios,
reaching values close to 89% of satisfied requests, achieving more than 200% of
data received than Standard NDN.
