@mastersthesis{corr:thesis,
    author = {Michael G. Corr},
    title = {Geographic Based Ad-Hoc Routing for Distributed Sensor Networks},
    year = {2001},
    month = {June},
    type = {Master of Science Thesis},
    school = {Dept. of Computer Science, Dartmouth College},
    copyright = {Michael G. Corr},
    group = {agents, cmc, actcomm},
    url = {http://agent.cs.dartmouth.edu/papers/corr:thesis.ps.gz},
    keyword = {wireless network, ad-hoc routing algorithm, sensor network, mobile
computing},
    abstract = {Recent advances in sensing devices and integrated circuit
technology have allowed for the development of easily "reconfigurable smart
sensor" products for the application of Distributed Sensor Networks.
Primarily utilizing commercial off-the-shelf (COTS) components, I have
developed Reconfigurable smart sensors, consisting of a microprocessor, GPS
receiver, RF transceiver, and temperature sensor. The result is a flexible
module capable of gathering sensor data and forwarding compressed information
to a central location via other modules. \par In this Thesis, I will present
a new paradigm with relaxed requirements for ad hoc sensor network routing
protocols called Statistically Accurate Sensor Networks (SASN). Using the
guidelines of a SASN, an innovative self-routing algorithm called Best Effort
multi-Hop Geographical Routing (BEHGR), will be proposed for the purpose of
networking wireless sensors. In BEHGR, geographical positioning information
is utilized to dynamically route packets to a central location in a ``best
effort" manner. Using the reconfigurable smart sensors as a real time test
bed, I have deployed and tested the BEHGR protocol in the field. The
infrastructure design for these sensor modules, as well as performance
measurements for data throughput and data currentness of the BEHGR protocol
are presented and analyzed.}
}