@article {2109,
	title = {Region of Feasibility of Interference Alignment in Underwater Sensor Networks},
	journal = {IEEE Journal of Oceanic Engineering},
	volume = {39},
	year = {2014},
	month = {01/2014},
	pages = {189 - 202},
	publisher = {IEEE},
	chapter = {189 - 202},
	author = {P. Pandey and M. Hajimirsadeghi and D. Pompili}
}
@proceedings {2099,
	title = {Real-time Tracking of Stress Propagation using Distributed Granger Causality},
	year = {2013},
	month = {Sept/2013},
	publisher = {Proc. of ACM International Conference on Body Area Networks (BodyNets)},
	address = {Boston, MA},
	author = {E. K. Lee and P. Pandey 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}
}
@proceedings {1974,
	title = {On the Region of Feasibility of Interference Alignment in Underwater Sensor Networks},
	year = {2012},
	month = {Sept. 2012},
	address = {NATO Centre, La Spazia, Italy},
	abstract = {To enable underwater applications such as coastal and tactical surveillance, undersea explorations, and pic- ture/video acquisition, there is a need to achieve high data- rate underwater acoustic communications, which translates into attaining high acoustic channel spectral efficiencies. Interference Alignment (IA) technique, which has recently been proposed for radio-frequency MIMO terrestrial communication systems, aims at improving the spectral efficiency by enabling nodes to transmit data simultaneously at a rate equal to half of the interference-free channel capacity. While promising, there are challenges to be solved for the use of IA underwater, i.e., imperfect acoustic channel knowledge, high computational complexity, and high communication delay. In this paper, a feasibility study on the practical employment of IA underwater is presented, and a novel distributed computing framework for sharing processing resources in the network so to parallelize an iterative IA algorithm is proposed.},
	author = {P. Pandey and D Pompili}
}
