Abstract
There has been growing interest in urban surveillance using
vehicles that monitor the environment, classify the events,
e.g., license plates, and exchange metadata with neighbors in a
peer-to-peer fashion. The idea is to create a totally
distributed index of all the events and make it accessible to a
variety of customers. For instance, the Department of
Transportation extracts traffic congestion statistics; the
Department of Health monitors pollutants; the National Guard
tracks terrorist activities, and; the Police carries out
forensic accident investigations. Mobile, vehicular sensing
differs significantly from fixed (wireless) sensing. The
vehicles have no strict limits on battery life, processing
power and storage capabilities. Moreover they can collect an
enormous volume of data, making traditional sensor harvesting
solutions inadequate. The paper describes MobEyes, a
middleware solution that diffuses data summaries to create a
distributed index of the massive urban data base. We discuss
the challenges of designing and maintain such a system, from
information dissemination to harvesting, routing and security.
Bio sketch
Dr. Gerla received his Engineering degree from the Politecnico
di Milano, Italy, in 1966 and the M.S. and Ph.D. degrees from
UCLA in 1970 and 1973. He became IEEE Fellow in 2002. At UCLA,
he was part of a small team that developed the early ARPANET
protocols under the guidance of Prof. Leonard Kleinrock. He
worked at Network Analysis Corporation, New York, from 1973 to
1976, transferring the ARPANET technology to several Government
and Commercial Networks. He joined the Faculty of the Computer
Science Department at UCLA in 1976, where he is now Professor.
At UCLA he has designed and implemented some of the most
popular and cited network protocols for ad hoc wireless
networks including distributed clustering, multicast (ODMRP and
CODECast) and transport (TCP Westwood) under DARPA and NSF
grants. He has lead the $12M, 6 year ONR MINUTEMAN project,
designing the next generation scalable airborne Internet for
tactical and homeland defense scenarios. He is now leading two
advanced wireless network projects under ARMY and IBM funding.
In the commercial network scenario, with NSF and Industry
sponsorship, he has led the development of vehicular
communications for safe navigation, urban sensing and location
awareness. A parallel research activity covers personal P2P
communications including cooperative, networked medical
monitoring (see www.cs.ucla.edu/NRL for recent publications).