What is he best known for?
The fields of study he is best known for:
- Operating system
- Computer network
- Programming language
The scientist’s investigation covers issues in Wireless sensor network, Distributed computing, Computer network, Key distribution in wireless sensor networks and Wireless.
His Wireless sensor network research includes elements of Code, Reliability, Robustness and Programmer.
His Distributed computing study combines topics from a wide range of disciplines, such as Application domain, Embedded system, Mobile computing and Taxonomy.
His Computer network research is multidisciplinary, incorporating perspectives in Power consumption and Electromagnetic interference.
The concepts of his Key distribution in wireless sensor networks study are interwoven with issues in Radio Link Protocol, Network performance, Data science and Estimator.
The various areas that Luca Mottola examines in his Wireless study include Routing, Energy harvesting and Scope.
His most cited work include:
- Radio link quality estimation in wireless sensor networks: A survey (507 citations)
- Programming wireless sensor networks: Fundamental concepts and state of the art (340 citations)
- Monitoring heritage buildings with wireless sensor networks: The Torre Aquila deployment (272 citations)
What are the main themes of his work throughout his whole career to date?
His scientific interests lie mostly in Wireless sensor network, Distributed computing, Computer network, Wireless and Key distribution in wireless sensor networks.
His studies deal with areas such as Software deployment, Reliability, Real-time computing, Embedded system and Software as well as Wireless sensor network.
His research in Distributed computing intersects with topics in Testbed, State, Base station and Programmer.
His Computer network research incorporates elements of Directional antenna and Wireless network.
His Wireless study incorporates themes from Routing, Block, Communications protocol and Protocol stack.
His work on Mobile wireless sensor network as part of general Key distribution in wireless sensor networks research is frequently linked to Tuple space, bridging the gap between disciplines.
He most often published in these fields:
- Wireless sensor network (55.21%)
- Distributed computing (36.81%)
- Computer network (33.74%)
What were the highlights of his more recent work (between 2016-2020)?
- Distributed computing (36.81%)
- Energy (9.20%)
- State (6.75%)
In recent papers he was focusing on the following fields of study:
Luca Mottola mostly deals with Distributed computing, Energy, State, Embedded system and Efficient energy use.
Luca Mottola has researched Distributed computing in several fields, including Software, Overhead and Provisioning.
Luca Mottola usually deals with Software and limits it to topics linked to Software deployment and Wireless sensor network, System software, Energy management, Installation and Interface.
His work deals with themes such as Codebase, Correctness and Total cost of ownership, which intersect with Wireless sensor network.
His study explores the link between Embedded system and topics such as Design rationale that cross with problems in Compiler and Oracle.
His study in Efficient energy use is interdisciplinary in nature, drawing from both Energy consumption, GNSS applications and Computer network.
Between 2016 and 2020, his most popular works were:
- Adaptive Real-Time Communication for Wireless Cyber-Physical Systems (47 citations)
- HarvOS: efficient code instrumentation for transiently-powered embedded sensing (42 citations)
- Battery-free Visible Light Sensing (33 citations)
In his most recent research, the most cited papers focused on:
- Operating system
- Computer network
- Programming language
Luca Mottola focuses on Distributed computing, Wireless sensor network, Wireless, Energy consumption and Software deployment.
His Concurrency study, which is part of a larger body of work in Distributed computing, is frequently linked to Energy source, bridging the gap between disciplines.
His Wireless sensor network research is multidisciplinary, incorporating elements of Design rationale, Embedded system and Oracle.
His biological study spans a wide range of topics, including Computer network, Communications protocol and Network packet.
His Energy consumption research is multidisciplinary, relying on both Telecommunications, Key and Benchmark.
He has included themes like Codebase, Software and Total cost of ownership in his Software deployment study.
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