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Emiliano Sisinni
Researcher at University of Brescia
Publications - 230
Citations - 5073
Emiliano Sisinni is an academic researcher from University of Brescia. The author has contributed to research in topics: Wireless sensor network & Wireless. The author has an hindex of 31, co-authored 204 publications receiving 3520 citations. Previous affiliations of Emiliano Sisinni include Brescia University.
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Journal ArticleDOI
Industrial Internet of Things: Challenges, Opportunities, and Directions
TL;DR: The concepts of IoT, Industrial IoT, and Industry 4.0 are clarified and the challenges associated with the need of energy efficiency, real-time performance, coexistence, interoperability, and security and privacy are focused on.
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Wired and wireless sensor networks for industrial applications
TL;DR: An overview of the state-of-art of real-time sensor networks for industrial applications is presented and particular attention has been paid to the description of methods and instrumentation for performance measurement in this kind of architectures.
Journal ArticleDOI
Evaluation of the IoT LoRaWAN Solution for Distributed Measurement Applications
TL;DR: The use of a long-range (LoRa) technology, originally developed for IoT, is investigated with the aim of implementing DMSs, and the capability of low-cost transceiver to schedule the transmission of frames and an acceptable long-term clock stability are shown.
Journal ArticleDOI
Scalability Analysis of a LoRa Network Under Imperfect Orthogonality
Aamir Mahmood,Emiliano Sisinni,Lakshmikanth Guntupalli,Raul Rondon,Syed Ali Hassan,Mikael Gidlund +5 more
TL;DR: In this paper, an analytical model of a single-cell LoRa system that accounts for the impact of interference among transmissions over the same SF (co-SF) as well as different SFs (inter-SF).
Posted Content
Scalability Analysis of a LoRa Network under Imperfect Orthogonality
Aamir Mahmood,Emiliano Sisinni,Lakshmikanth Guntupalli,Raul Rondon,Syed Ali Hassan,Mikael Gidlund +5 more
TL;DR: This paper presents an analytical model of a single-cell LoRa system that accounts for the impact of interference among transmissions over the same SF (co-SF) as well as different SFs (inter-SF), and derives the signal-to-interference ratio distributions for several interference conditions.