G. Enrico Santagati
Ph.D. in Electrical and Computer Engineering, 2017
Education
- Ph.D. in Electrical and Computer Engineering - Northeastern University (2017)
- M.S. in Telecommunication Engineering - University of Catania, Italy (2012)
- B.S. in Telecommunication Engineering - University of Catania, Italy (2010)
G. Enrico Santagati earned his Ph.D. in Electrical and Computer Engineering from Northeastern University in 2017, working in the Wireless Networks and Embedded Systems Laboratory under Professor Tommaso Melodia. He received his B.S. and M.S. in Telecommunication Engineering from the University of Catania, Italy in 2010 and 2012, respectively. His research focused on ultrasonic intra-body sensor networks and software defined radios. He specialized in the design and development of energy-constrained embedded systems with wireless software-defined connectivity and internet-of-things capabilities. After graduation, he joined Bose Corporation as an Embedded Software Engineer.
Publications
2020
Journals & Magazines
“Design and Performance Evaluation of an Implantable Ultrasonic Networking Platform for the Internet of Medical Things.”
IEEE/ACM Transactions on Networking
(2020)Journal
2019
Journals & Magazines
“High-Data Rate Carrierless Impulsive Communications for Underwater Acoustic Networks.”
Proc. of the Underwater Acoustics Conference & Exhibition (UACE)
(2019)Article
2018
Journals & Magazines
“A High-Rate Software-Defined Underwater Acoustic Modem With Real-Time Adaptation Capabilities.”
IEEE Access
(2018)Journal
2017
Journals & Magazines
“A Software-Defined Ultrasonic Networking Framework for Wearable Devices.”
IEEE/ACM Transactions on Networking
(2017)Journal
Conference Papers
“An Implantable Low-Power Ultrasonic Platform for the Internet of Medical Things.”
Proc. of IEEE Conference on Computer Communications (INFOCOM)
(2017)Conference
2016
Journals & Magazines
“Experimental Evaluation of Impulsive Ultrasonic Intra-Body Communications for Implantable Biomedical Devices.”
IEEE Transactions on Mobile Computing
(2016)Journal
“Distributed Algorithms for Joint Channel Access and Rate Control in Ultrasonic Intra-body Networks.”
IEEE/ACM Transactions on Networking
(2016)Journal
Conference Papers
“High Data Rate Ultrasonic Communications for Wireless Intra-Body Networks.”
Proc. of IEEE Symposium on Local and Metropolitan Area Networks (LANMAN)
(2016)Conference
“A 700 kHz ultrasonic link for wireless powering of implantable medical devices.”
SENSORS, 2016 IEEE
(2016)Conference
2015
Journals & Magazines
“Medium Access Control and Rate Adaptation for Ultrasonic Intrabody Sensor Networks.”
IEEE/ACM Transactions on Networking
(2015)Journal
Conference Papers
As of today, Underwater Acoustic Networks (UANs) are heavily dependent on commercially available acoustic modems. While commercial modems are often able to support specific applications, they are typically not flexible enough to satisfy the requirements of next-generation UANs, which need to be able to adapt their communication and networking protocols in real-time based on the environmental and application conditions. To address these needs, we present SEANet (Software-dEfined Acoustic Networking), a modular, evolving software-defined framework for UAN devices that offers the necessary flexibility to adapt and satisfy different application and system requirements through a well-defined set of functionalities at the physical, data-link, network, and application layers of the networking protocol stack. SEANet is based on a structured modular architecture that enables real-time reconfiguration at different layers, provides a flexible platform for the deployment of new protocol designs and enhancements, and ensures software portability for platform independence. Moreover, we present a prototype of a low-cost, fully reconfigurable underwater sensing platform that implements the SEANet framework, and discuss performance evaluation results from water tank tests.
“U-Wear: Software-defined ultrasonic networking for wearable devices.”
Proc. of IEEE Conference on Mobile Systems, Services and Applications (MOBISYS)
(2015)Conference
“Ultrasonic Intra-body Networking: Interference Modeling, Stochastic Channel Access and Rate Control.”
Proc. of IEEE Conference on Computer Communications (INFOCOM)
(2015)Conference
2014
Journals & Magazines
“Opto-Ultrasonic Communications for Wireless Intra-Body Nanonetworks.”
Nano Communication Networks (Elsevier)
(2014)Journal
Conference Papers
“Design of A Software-defined Underwater Acoustic Modem with Real-time Physical Layer Adaptation Capabilities.”
Proc. of ACM Intl. Conf. on Underwater Networks & Systems (WUWNet)
(2014)Conference
“Sonar Inside Your Body: Prototyping Ultrasonic Intra-body Sensor Networks.”
Proc. of IEEE Conference on Computer Communications (INFOCOM)
(2014)Conference
Wireless intra-body networks of implantable biomedical devices have the potential to enable revolutionary healthcare and clinical applications. In our previous work we investigated the use of ultrasonic waves as an alternative to radio frequency (RF) waves as physical carrier of information, and proposed Ultrasonic WideBand (UsWB), the first ultrasonic integrated physical and medium access control (MAC) layer protocol.In this paper, we compare the performance of the UsWB MAC protocol with two existing MAC protocols originally designed for wireless RF-based networks, ALOHA and Carrier Sense Multiple Access (CSMA). In particular, we discuss the protocol performance in terms of (i) average network throughput and packet drop rate, (ii) average short-term fairness, (iii) average packet delay, and (iv) energy consumption per bit. We show that UsWB outperforms ALOHA in terms of throughput, while CSMA can achieve comparable performance under specific setups. However, both ALOHA and CSMA have very high packet drop rates as compared to UsWB. The latter is capable of keeping the packet drop rate under a pre-defined threshold. Moreover, UsWB significantly outperforms both ALOHA and CSMA in terms of short-term fairness, and average packet delays. Finally, CSMA has the highest energy consumption per bit, because of long idle sensing times, whereas UsWB has the lowest, and it can be further reduced by trading throughput for energy consumption through energy-minimizing rate adaptation.
2013
Journals & Magazines
“Characterization of molecular communications among implantable biomedical neuro-inspired nanodevices.”
Nano Communication Networks
(2013)Journal
Conference Papers
“Opto-Ultrasonic Communications in Wireless Body Area Nanonetworks.”
Proc. of IEEE Asilomar Conf. on Signals, Systems, and Computers
(2013)Conference
“Distributed MAC and Rate Adaptation for Ultrasonically Networked Implantable Sensors.”
Proc. of IEEE Conf. on Sensor, Mesh and Ad Hoc Communications and Networks (SECON)
(2013)Conference
2012
Conference Papers
“Challenges and Implications of Using Ultrasonic Communications in Intra-body Area Networks.”
Proc. of Wireless On-demand Network Systems and Services (WONS)
(2012)Conference
2011
Journals & Magazines
“Modeling signal propagation in nanomachine-to-neuron communications.”
Nano Communication Networks
(2011)Journal