@article {2110,
	title = {Minimizing Position Uncertainty for Under-Ice Autonomous Underwater Vehicles},
	journal = {to appear in Computer Networks (Elsevier)},
	year = {2013},
	author = {B. Chen and D. Pompili}
}
@proceedings {1973,
	title = {Adaptive Sampling Based on Deterministic Compressive Sensing using Autonomous Underwater Vehicles},
	year = {2012},
	month = {Sept. 2012},
	address = {Arenzano (GE), Italy},
	abstract = {To achieve efficient and cost-effective sensing coverage of the vast under-sampled 3D aquatic volume, intelligent adaptive sampling strategies involving Autonomous Underwater Vehicles (AUVs) endowed with underwater wireless (acoustic) communication capabilities become essential. These AUVs should coordinate and steer through the region of interest, and cooperatively sense, preprocess and transmit measured data to onshore stations for processing and analysis. Given a scalar field, i.e, a phenomenon (e.g, temperature, salinity etc.) to sample, the AUVs should coordinate to take measurements using minimal resources (time or energy) in order to reconstruct the field with admissible error. A novel adaptive sampling solution to minimize the sampling cost is proposed, which requires the AUVs to take small number of samples from the field. We observe via simulations that our proposed solution outperforms existing solutions that are based on Compressive Sensing techniques.},
	author = {B. Chen and P. Pandey and D Pompili}
}
@article {1990,
	title = {Team Formation and Steering Algorithms for Underwater Gliders using Acoustic Communications},
	journal = {Computer Communication (Elsevier)},
	volume = {35},
	year = {2012},
	month = {May},
	pages = {1017-1028},
	abstract = {In order to take measurements in space and time from the undersampled vast ocean, it is necessary to
employ multiple autonomous underwater vehicles, such as gliders, that communicate and coordinate
with each other. These vehicles need to form a team in a specific formation, steer through the 3D region
of interest, and take application-dependent measurements such as temperature and salinity. In this article, team formation and steering algorithms relying on underwater acoustic communications are proposed in order to enable glider swarming that is robust against ocean currents and acoustic channel
impairments (e.g., high propagation and transmission delay, and low communication reliability). Performance of the proposed algorithms is evaluated and compared against existing solutions, which do not
rely on underwater communications, using different ocean current models.},
	author = {B. Chen and D Pompili}
}
@proceedings {1894,
	title = {Uncertainty-Aware Localization Solution for Networked Under-Ice Autonomous Underwater Vehicles},
	year = {2012},
	month = {June},
	address = {Seoul, Korea},
	author = {B. Chen and D Pompili}
}
@conference {122,
	title = {QUO VADIS: QoS-aware Underwater Optimization Framework for Inter-vehicle Communication using Acoustic Directional Transducers},
	booktitle = {Proc. of IEEE Conference on Sensor, Mesh and Ad Hoc Communications and Networks (SECON)},
	year = {2011},
	month = {June},
	address = {Salt Lake City, UT, USA},
	abstract = {Underwater acoustic communications consume a sig- nificant amount of energy due to the high transmission power (10 - 50 W) and long data packet transmission times (0.1 - 1 s). Mobile Autonomous Underwater Vehicles (AUVs) can conserve energy by waiting for the {\textquoteleft}best{\textquoteright} network topology configuration, e.g., a favorable alignment, before starting to communicate. Due to the frequency-selective underwater acoustic ambient noise and high medium power absorption {\textendash} which increases exponentially with distance {\textendash} a shorter distance between AUVs translates into a lower transmission loss and a higher available bandwidth. By leveraging the predictability of AUV trajectories, a novel solution is proposed that optimizes communications by delaying packet transmissions in order to wait for a favorable network topology (thus trading end-to-end delay for energy and/or throughput). In addition, the solution proposed {\textendash} which is implemented and compared with other solutions using an emulator that inte- grates underwater acoustic WHOI Micro-Modems {\textendash} exploits the frequency-dependent radiation pattern of underwater acoustic transducers to reduce communication energy consumption by adjusting the transducer directivity on-the-fly.},
	author = {B. Chen and D Pompili}
}
@conference {118,
	title = {A Reliable Geocasting Solution for Underwater Acoustic Sensor Networks},
	booktitle = {Proc. of IEEE MILCOM},
	year = {2011},
	month = {November},
	address = {Baltimore, MD, USA},
	abstract = {Reliable data delivery for underwater acoustic sensor
networks is a major concern in applications such as surveillance,
data collection, navigation, and ocean monitoring. Geocasting {\textendash}
which is the transmission of data packet(s) to nodes located in a
certain geographic region {\textendash} is becoming a crucial communication
primitive. In this work, two versions of a distributed, reliable,
and efficient underwater geocasting protocol, which are based
on different degrees of neighbor information, are proposed for
underwater networks whose acoustic modems use random-access
Medium Access Control (MAC) protocols. By jointly considering
the position uncertainty of nodes, MAC, and routing functionalities,
packet transmissions are prioritized and scheduled in order
to maximize link reliability while limiting end-to-end geocasting
delay. Moreover, a mechanism is designed to save the number of
transmissions by selecting only a subset of neighbors for packet
forwarding. Performance of the proposed protocol is evaluated
and compared via simulations against existing geocasting solutions
tailored for terrestrial wireless networks.},
	author = {B. Chen and D Pompili}
}
@proceedings {166,
	title = {Uncertainty-Based Localization Solution for Under-Ice Autonomous Underwater Vehicles},
	year = {2011},
	month = {December },
	address = {Seattle, WA, USA},
	author = {B. Chen and D Pompili}
}
@inbook {1935,
	title = {Advanced MAC Protocols for ZigBee Networks},
	booktitle = {ZigBee Network Protocols and Applications, C. Wang, T. Jiang, and Q. Zhang, Eds.},
	year = {2010},
	publisher = {CRC press},
	organization = {CRC press},
	author = {B. Chen and D Pompili}
}
@proceedings {157,
	title = {Bio-inspired Communications for Coordination among Autonomous Underwater Vehicles},
	year = {2010},
	month = {April},
	address = {Princeton, NJ, USA},
	abstract = {To take measurements in space and time from the
undersampled vast ocean, it is necessary to employ multiple autonomous
underwater vehicles, such as gliders, that communicate
and coordinate with each other. These vehicles need to form a
team in a specific formation, steer through the 3D region of
interest, and take application-dependent measurements such as
temperature and salinity. In this paper, bio-inspired underwater
acoustic communication and coordination algorithms are proposed
to enable glider swarming that is robust against acoustic channel
impairments. Performance of the proposed algorithms is evaluated
when i) number of vehicles, ii) team formation geometry, and iii)
team target trajectory are provided.},
	author = {B. Chen and D Pompili and Manish Parashar}
}
@conference {123,
	title = {Patient Vital Signs Monitoring using Wireless Sensor Networks},
	booktitle = {Proc. of IEEE Northeast Bioengineering Conference},
	year = {2010},
	month = {March},
	address = {New York, NY, USA},
	abstract = {Today hospitals are equipped with many electronic trans- mitting devices, which results in electromagnetic interference that may impair wireless transmissions between medical devices. On the other hand, reliable and continuous collection via wireless communications of patient vital signs such as blood pressure and flow, core temperature, ECG, carbon dioxide (CO2) concentration is crucial for making real-time triage decisions. Hence, a novel wireless communication solution that seamlessly supports patient mobility and that prioritizes vital signs transmission using Wireless Body Area Networks (WBANs) is developed, implemented in TinyOS, and tested on Shimmer biomedical wireless sensor motes.},
	author = {B. Chen and J. P. Varkey and D Pompili and J. K. Li and I. Marsic}
}
@conference {171,
	title = {Performance Evaluation of Underwater Vehicle Coordination Algorithms through Emulation},
	booktitle = {ACM International Workshop on UnderWater Networks (WUWNet)},
	year = {2010},
	month = {September},
	address = {Woods Hole, MA, USA},
	author = {B. Chen and D Pompili}
}
@inbook {1936,
	title = {Prioritization of Patient Vital Signs Transmission Using Wireless Body Area Networks},
	booktitle = {E-Healthcare Systems and Wireless Communications: Current and Future Challenges, Mohamed K. Watfa, Ed.},
	year = {2010},
	author = {B. Chen and D Pompili}
}
@proceedings {1932,
	title = {Reliable Geocasting for Underwater Acoustic Sensor Networks},
	year = {2010},
	month = {September},
	address = {Woods Hole, MA},
	author = {B. Chen and D. Pompili,}
}
@proceedings {143,
	title = {A Testbed for Performance Evaluation of Underwater Vehicle Team Formation and Steering Algorithms},
	year = {2010},
	month = {June},
	address = {Boston, MA},
	author = {B. Chen and D Pompili}
}
@conference {124,
	title = {A Trajectory-aware Communication Solution for Underwater Gliders using WHOI Micro-Modems},
	booktitle = {Proc. of IEEE Conference on Sensor, Mesh and Ad Hoc Communications and Networks (SECON)},
	year = {2010},
	month = {June},
	address = {Boston, MA, USA},
	abstract = {The predictable trajectory of underwater gliders can be used in geographic routing protocols. Factors such as drifting and localization errors cause uncertainty when estimating a glider{\textquoteright}s trajectory. Existing geographic routing protocols in underwater networks generally assume the positions of the nodes are accurately determined by neglecting position uncertainty. In this paper, a paradigm-changing geographic routing protocol that relies on a statistical approach to model position uncertainty is proposed. Our routing protocol is combined with practical cross-layer optimization to minimize energy consumption. Our solution{\textquoteright}s performance is tested and compared with existing solutions using a real-time testbed emulation that uses underwater acoustic modems.},
	author = {B. Chen and P. C. Hickey and D Pompili}
}
@article {163,
	title = {Transmission of Patient Vital Signs using Wireless Body Area Networks},
	journal = {Mobile Networks and Applications (Springer)},
	year = {2010},
	month = {July},
	abstract = {Triage is the process of prioritizing patients
based on the severity of their condition when resources
are insufficient. Hospitals today are equipped with
more and more electronic medical devices. This results
in possibly high level of electromagnetic interference
that may lead to the failure of medical monitoring
devices. Moreover, a patient is usually moved between
different hospital settings during triage. Accurate and
quick prioritization of patient vital signs under such
environment is crucial for making efficient and realtime
decisions. In this article, a novel in-network solution
to prioritize the transmission of patient vital
signs using wireless body area networks is proposed;
the solution relies on a distributed priority scheduling
strategy based on the current patient condition and on
the vital sign end-to-end delay/reliability requirement.
The proposed solution was implemented in TinyOS and
its performance was tested in a real scenario.},
	author = {B. Chen and D Pompili}
}
@proceedings {1933,
	title = {Continuous Vital Sign Monitoring via Wireless Sensor Network},
	year = {2008},
	month = {November},
	address = {Poly-NYU, NY},
	author = {B. Chen and D Pompili and I. Marsic}
}
