Predictable, Scalable QoS Routing for Ad Hoc Wireless Networks based on Heavy-Tailed Statistics

Period of Performance: 09/29/2006 - 09/29/2007


Phase 2 STTR

Recipient Firm

Intelligent Automation, Inc.
15400 Calhoun Dr, Suite 190
Rockville, MD 20855
Firm POC
Principal Investigator

Research Institution

Purdue University
Young Hall
West Lafayette, IN 47907
Institution POC


In Phase I, we have shown the importance of applying flow differentiation and load awareness to ad hoc wireless routing in order to improve network efficiency and reliability. Such load awareness is particularly important, since heavy-tailedness is essent