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Dennis Campagna

dblp:279/2767 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2020
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Computer networks · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer networks
1 paper
Internet of things and sensor networks · 100%
Interdisciplinary, comprehensive, and emerging computing
1 paper
Smart cities and intelligent transportation · 100%
Computer architecture, parallel and distributed computing, and storage systems
1 paper
Energy-efficient computing · 100%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Internet of things and sensor networks
energy harvesting
0.412020
Battery-less zero-maintenance embedded sensing at the mithræum of circus maximus · SenSys 2020
Internet of things and sensor networks › battery-free sensing
intermittent computing
0.412020
Battery-less zero-maintenance embedded sensing at the mithræum of circus maximus · SenSys 2020
Smart cities and intelligent transportation
structural health monitoring
0.112020
Battery-less zero-maintenance embedded sensing at the mithræum of circus maximus · SenSys 2020
Energy-efficient computing
energy management
0.112020
Battery-less zero-maintenance embedded sensing at the mithræum of circus maximus · SenSys 2020

Methods — techniques the papers use, named apart from their topics

hardware-software co-design · 1.3
YearPublicationVenuePosition
2020 Battery-less zero-maintenance embedded sensing at the mithræum of circus maximus
abstract
We present the design and evaluation of a 3.5-year embedded sensing deployment at the Mithræum of Circus Maximus, a UNESCO-protected underground archaeological site in Rome (Italy). Unique to our work is the use of energy harvesting through thermal and kinetic energy sources. The extreme scarcity and erratic availability of energy, however, pose great challenges in system software, embedded hardware, and energy management. We tackle them by testing, for the first time in a multi-year deployment, existing solutions in intermittent computing, low-power hardware, and energy harvesting. Through three major design iterations, we find that these solutions operate as isolated silos and lack integration into a complete system, performing suboptimally. In contrast, we demonstrate the efficient performance of a hardware/software co-design featuring accurate energy management and capturing the coupling between energy sources and sensed quantities. Installing a battery-operated system alongside also allows us to perform a comparative study of energy harvesting in a demanding setting. Albeit the latter reduces energy availability and thus lowers the data yield to about 22% of that provided by batteries, our system provides a comparable level of insight into environmental conditions and structural health of the site. Further, unlike existing energy-harvesting deployments that are limited to a few months of operation in the best cases, our system runs with zero maintenance since almost 2 years, including 3 months of site inaccessibility due to a COVID19 lockdown.
Mikhail Afanasov, Naveed Anwar Bhatti, Dennis Campagna, Giacomo Caslini, Fabio Massimo Centonze, Koustabh Dolui, Andrea Maioli, Erica Barone, Muhammad Hamad Alizai, Junaid Haroon Siddiqui, Luca Mottola
SenSys3