Wikipedia:Articles for deletion/Brooks-Iyengar Algorithm
Brooks-Iyengar Algorithm''' an article in the relatively new field of Distributed Sensor Networks (DSN).  DSNs have a wide range of real-time applications in aerospace, automation, battle field management, defense, medical imaging, home automation, robotics, and weather prediction.  On : The '''Brooks-Iyengar hybrid algorithm''' is notable because it bridges the gap between sensor fusion and Byzantine fault tolerance.  Perhaps its notability is relative next to lists of every single Pokemon.  But in the field of DSNs, it is notable.  I get many more hits with the word hybrid in the title.  This article needs a better introduction for the layperson, although the detail is good for a Systems Engineer such as myself to understand.  The major ideas need to be introduced.  Sensor fusion deals with combining the sensory data from multiple sensors and creating the equivalent of a more reliable sensor.  The Byzantine fault tolerance is a mechanism by which failing sensors or faulty network connections between sensors can be ignored.  I think the  issue is minimal and can be overlooked with other editors participating in the edit process
— User:kgrr, 15:06, 22 March 2010 (UTC)
Stance: keep
Cited policy: WP:N||WP:COI (Wikipedia:Notability)