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  <event:Event rdf:about="http://ebiquity.umbc.edu/event/html/id/160/MISSION-Multiagent-Institutions-for-Sensor-Networks">
    <rdfs:label><![CDATA[MISSION: Multiagent Institutions for Sensor Networks]]></rdfs:label>
    <event:title><![CDATA[MISSION: Multiagent Institutions for Sensor Networks]]></event:title>
    <event:speaker><person:MSAlumnus rdf:about="http://ebiquity.umbc.edu/person/html/Balaji/Vishwanathan/"><person:name><![CDATA[Balaji  Vishwanathan]]></person:name><rdfs:label><![CDATA[Balaji  Vishwanathan]]></rdfs:label></person:MSAlumnus></event:speaker>
    <event:startDate rdf:datatype="&xsd;dateTime">2006-06-05T10:00:00-05:00</event:startDate>
    <event:endDate rdf:datatype="&xsd;dateTime">2006-06-05T12:00:00-05:00</event:endDate>
    <event:location><![CDATA[325b ITE]]></event:location>
    <event:abstract><![CDATA[Advancements in Micro-electro Mechanical Systems and wireless
communication systems have enabled the building of compact and inexpensive
sensor motes that have reasonable processing power and memory, onboard.
These motes could be networked to form a Wireless Sensor Network that
would enable data collection from physical environment done autonomously.
This could enable more sophisticated battlefield surveillance,
environmental monitoring, industrial process control and disaster rescue.
<p>
For this thesis we have built a system for having complex queries on
physical environment, answered by the sensor network while addressing some
of the main concerns such as energy efficiency, scalability, reliability
and usability. The system takes inspiration from economical institutions
such as corporations, factories, press and communities and a number of
algorithms have been designed to implement the various processes of these
institutions. The algorithms seek to organize the sensors into various
types of organizations based on economic utility and they significantly
reduce the system complexity and enable the building of large scale sensor
networks. We have implemented the work and the simulation results shows
that it has a much better performance in terms of the four factors stated
in the previous paragraph, compared with the existing systems for Sensor
databases.
<p>
The main contribution of this thesis is a new methodology for agent
organization by extending the concept of cluster formation. This new
methodology could be used for various distributed systems ranging from
grid computing to robotic coordination. We validate our methodology by
building this querying system for sensor networks and in the future we
plan to propose to extend it for generic distributed systems.]]></event:abstract>
    <event:tag><![CDATA[ms thesis defense]]></event:tag>
    <event:tag><![CDATA[agent]]></event:tag>
    <event:tag><![CDATA[multiagent system]]></event:tag>
    <event:tag><![CDATA[sensor network]]></event:tag>
    <event:host><person:PrincipalFaculty rdf:about="http://ebiquity.umbc.edu/person/html/Tim/Finin/"><person:name><![CDATA[Tim  Finin]]></person:name><rdfs:label><![CDATA[Tim  Finin]]></rdfs:label></person:PrincipalFaculty></event:host>
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