Probabilistic source-based query subsumption in vehicular ad hoc networks

The ongoing growth of wireless ad hoc networking makes efficient bandwidth usage a vital concern. Reducing data transmission redundancy is well-studied for stable network topologies but dynamic environments pose unique challenges because network state information obsolesces quickly. We test a probabilistic query-based subsumption model, varying query ranges and posting rates, in simulated mixed networks of vehicles and pedestrians using a controlled flooding routing protocol. We show this subsumption model substantially improves network throughput and speeds delivery of responses.