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<p><font size="2">OPNET Technologies<br>
7255 Woodmont Avenue<br>
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Tel: 240-497-3000<br>
Fax: 240-497-3001<br>

E-mail: <a href="mailto:university@opnet.com">university@opnet.com</a><br>
Web: <a href="http://www.opnet.com/" target="_blank">www.opnet.com</a><br>
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<p><font size="2">&copy; 2008 OPNET Technologies, Inc.<br>
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<p><b>
University: <a href="http://www.uniroma1.it"> "Sapienza" University of Rome</a><br>	
Name of Sponsoring Professors: <a href="http://twiki.di.uniroma1.it/twiki/view/Users/AnnalisaMassini">Annalisa Massini</a><br>
Department: <a href="http://w3.uniroma1.it/dipinfo">Computer Science</a></b>
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<br>
<!--</b></p> -->
      
      <center><font color="#666666"><font size="+2">OPNET Simulation Software Tool Usage at  </font></font></center> <br>
      <center><font size="+2"> Department of Computer Science </font></center> <br>
      <center><font size="+2"> "Sapienza" University of Rome</font></center> <br>
      <p></p>
        <p><font size="+1">At the University of Rome "La Sapienza", the Computer
      Networks group is presently using the simulation software OPNET mainly
      for teaching activities and educational purposes. Some research is in
      progress in a group of researchers, master students and Ph D students.</font> 
        </p><p><font size="+1">The tool has been used to study the problem 
	of mobile sensor deployment and to simulate the behavior of the sensors under different algorithms and communication protocols.</font> <br>
		
---
      <p><font size="+2">Research</font></p>

<font size="+1">
<b><font color="#666666">Mobile Sensor Networks</font></b>
<ul>
  <li> Autonomous Deployment of Mobile Sensors </li>
  <li> Energy Saving Protocols  </li>
  <li> Algorithms for Heterogeneous Sensors</li>
</ul>
</font>

---

<p><font size="+2">Papers</font></p>

<p><font size="+1"><b>
Snap and Spread: a self-deployment algorithm for mobile sensor networks<br>
</b></font>
<span class="conference_name">N.Bartolini, T. Calamoneri, E. G. Fusco, A. Massini, S. Silvestri<br>
in IEEE International Conference on Distributed Computing in Sensor Systems (DCOSS-2008) </span><br>
<p>
*Abstract* The use of mobile sensors is motivated by the necessity to
monitor critical areas where sensor deployment cannot be performed manually.<br> 
In these working scenarios, sensors must adapt their initial position to reach a final
deployment which meets some given performance objectives such as coverage extension and uniformity, total moving distance,
number of message exchanges and convergence rate.<br> 
We propose  an original algorithm for  autonomous deployment of mobile sensors called Snap & Spread.
Decisions regarding the behavior of each sensor are
based on locally available information and do not require any prior knowledge of the operating conditions
nor any manual tuning of key parameters.
We conduct extensive simulations to evaluate the performance of our algorithm.
This experimental study shows that, unlike previous solutions, our algorithm reaches a final stable deployment,
uniformly covering even irregular target areas.
Simulations also give insights on the choice of some algorithm variants that may be used under
some different operative settings.
</p>
---
<p><font size="+1"><b>
Autonomous deployment of self-organizing mobile sensors for a complete coverage
</b></font>
<span class="conference_name">N.Bartolini, T. Calamoneri, E. G. Fusco, A. Massini, S. Silvestri<br>
in Proceedings of the International Workshop on Self-Organizing Systems (IWSOS-2008)  </span><br>
<p>
*Abstract* Mobile sensor networks are important for a number of strategic applications
devoted to monitoring critical areas.
Coverage completeness and uniformity determine
the effectiveness of the sensor deployment.
Despite the primary importance of
such features, the initial sensor deployment of many applications is
neither complete nor uniform, as sensors are sent from a safe location or
dropped from an aircraft.
The use of mobile sensors permits a dynamic reconfiguration of the
sensor deployment. Sensors should coordinate their movements
to quickly reach a more satisfactory deployment while minimizing the
total traversed distance and the number of message
exchanges.
Existing distributed solutions either do not guarantee complete coverage or do
not lead to a stable deployment.
In this paper we propose a fully distributed algorithm for autonomous deployment
of mobile sensors called PUSH&PULL, which is based on
the interleaved execution of four basic
activities. According to our proposal, movement decisions are made by each
sensor on the basis of
locally available information
and do not require any prior knowledge of the operating conditions
nor any manual tuning of key parameters.
We prove that, unlike previous proposals, our approach guarantees a complete
coverage, provided that a sufficient
number of sensors are available. Furthermore, we
demonstrate that the algorithm execution always
terminates preventing movement oscillations.
Extensive simulations show that our
algorithm reaches a complete coverage
within reasonable time with moderate energy consumption, even when the
target area has irregular shapes.
Performance comparisons between PUSH&PULL and one of the most acknowledged algorithms
show how the former can reach a more uniform and complete coverage
under a wide range of working scenarios, with lower energy consumption.
</p>
---
<p><font size="+1"><b>
Push and Pull: autonomous deployment of mobile sensors for a complete coverage
</b></font>
<span class="conference_name">N. Bartolini, T. Calamoneri, E. G. Fusco, A. Massini, S. Silvestri<br>
in ACM Wireless Networks, accepted for publication, (to appear).    </span><br>
<p>
*Abstract* Mobile sensor networks are important for several strategic applications
devoted to monitoring critical areas. In such hostile scenarios, sensors cannot be deployed manually and are either sent from a safe location
or dropped from an aircraft.
Mobile devices permit a dynamic deployment reconfiguration that improves the coverage in terms of completeness and uniformity.<br>
In this paper we propose a distributed algorithm for the autonomous deployment
of mobile sensors called PUSH&PULL. According to our proposal, movement decisions are made by each
sensor on the basis of locally available information
and do not require any prior knowledge of the operating conditions
or any manual tuning of key parameters. <br>
We formally prove that, when a sufficient number of sensors are available, our approach guarantees
a complete and uniform coverage.
Furthermore, we
demonstrate that the algorithm execution always
terminates preventing movement oscillations.<br>
Numerous simulations show that our
algorithm reaches a complete coverage
within reasonable time with moderate energy consumption, even when the
target area has irregular shapes.
Performance comparisons between PUSH&PULL and one of the most acknowledged algorithms
show how the former one can efficiently reach a more uniform and complete coverage
under a wide range of working scenarios.
</p>
---
<p><font size="+1"><b>
Autonomous deployment of heterogeneous mobile sensors
</b></font>
<span class="conference_name">N.Bartolini, T. Calamoneri, T. La Porta, A. Massini, S. Silvestri<br>
in Proceedings of the IEEE International Conference on Network Protocols (ICNP-2009), Best Paper</span><br>
<p>
*Abstract* In this paper we address the problem of deploying
heterogeneous mobile sensors over a target area. We show how
traditional approaches designed for homogeneous networks fail
when adopted in the heterogeneous operative setting.
Unfortunately, network and device homogeneity is an unrealistic
assumption in most practical deployments. In order to
deal with realistic scenarios, we introduce Vor_Lag, a generalization
of the Voronoi approach based on Laguerre geometry.
We theoretically prove the appropriateness of our approach
to the management of heterogeneous networks. In addition
we demonstrate that Vor_Lag can be extended to deal with
dynamically generated events or uneven energy depletion due
to communications.
Furthermore, by means of simulations, we show that Vor_Lag
provides a very stable sensor behavior, with fast and guaranteed
termination and moderate energy consumption. We also show
that Vor_Lag performs better than other methods based on virtual
forces.</p>
---
<p><font size="+1"><b>
On adaptive density deployment to mitigate the sink-hole problem in mobile sensor networks
</b></font>
<span class="conference_name">N. Bartolini, T. Calamoneri, A. Massini, S. Silvestri<br>
in ACM/Springer Mobile Networks and Applications, (to appear). </span><br>
<p>
The use of mobile sensors is of great relevance
to monitor critical areas where sensors cannot be
deployed manually. The presence of data collector sinks
causes increased energy depletion in their proximity,
due to the higher relay load under multi-hop communication
schemes (sink-hole phenomenon). We propose a
new approach towards the solution of this problem by
means of an autonomous deployment algorithm that
guarantees the adaptation of the sensor density to the
sink proximity and enables their selective activation.
The proposed algorithm also permits a fault tolerant
and self-healing deployment, and allows the realization
of an integrated solution for deployment, dynamic
relocation and selective sensor activation.
We formally prove the termination of our algorithm.
Performance comparisons between our proposal and previous
approaches show how the former can efficiently
reach a deployment at the desired variable density with
moderate energy consumption under a wide range of
operative settings.
</p>

---

<p><font size="+2">Teaching:</font></p>

<font size="+1">
   * Digital circuit design
   * Computer architectures
   * Scientific computation
</font>

---
<!-- <p><b>Authored papers</b> (please provide this information upon completion of research)</p> -->

<p><strong><font size="2">OPNET Technologies,</font></strong> <font size="2">Inc. is a leading provider of
solutions for managing networks and applications. OPNET's best-in-class solutions address <a href="http://www.opnet.com/solutions/application_performance/ace.html">application troubleshooting</a>, <a href="http://www.opnet.com/solutions/application_performance/panorama_production.html">application monitoring</a>,
<a href="http://www.opnet.com/solutions/application_performance/acelive.html">network monitoring</a>, <a href="http://www.opnet.com/solutions/network_operations/it_sentinel.html">network configuration management</a>, <a href="http://www.opnet.com/solutions/capacity_management/itguru_net_planner.html">capacity
management</a>, and <a href="http://www.opnet.com/solutions/network_rd/modeler.html">network simulation</a>.
OPNET&#8217;s solutions have been operationally proven in thousands of customer environments worldwide,
including corporate and government enterprises, government and defense agencies, network service providers,
and network equipment manufacturers. For more information about <a href="http://www.opnet.com/">OPNET</a> and
its products, visit <a href="http://www.opnet.com/">www.opnet.com</a>.</font></p>

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-- Users.AnnalisaMassini - 09 Mar 2010