What is he best known for?
The fields of study he is best known for:
- Computer network
- The Internet
- Operating system
His scientific interests lie mostly in Computer network, Distributed computing, Wireless sensor network, Cloud computing and The Internet.
His study in Computer network is interdisciplinary in nature, drawing from both Wireless ad hoc network, Vehicular ad hoc network and Key distribution in wireless sensor networks.
His Distributed computing study integrates concerns from other disciplines, such as Synthetic data, System integration, Information-centric networking and Dynamic Source Routing.
His Wireless sensor network study combines topics in areas such as Control system, Process and Real-time computing.
His The Internet research is multidisciplinary, relying on both Private network, Service and Software-defined networking.
The study incorporates disciplines such as Link-state routing protocol, Static routing and Wireless Routing Protocol in addition to Optimized Link State Routing Protocol.
His most cited work include:
- BLR: beacon-less routing algorithm for mobile ad hoc networks (312 citations)
- Network Store: Exploring Slicing in Future 5G Networks (115 citations)
- Ants-Based Routing in Large Scale Mobile Ad-Hoc Networks. (102 citations)
What are the main themes of his work throughout his whole career to date?
Torsten Braun mainly investigates Computer network, Distributed computing, Wireless sensor network, Wireless network and Wireless.
His Computer network research is multidisciplinary, incorporating perspectives in Key distribution in wireless sensor networks and The Internet.
His The Internet research includes elements of Private network and Service.
The Distributed computing study combines topics in areas such as Link-state routing protocol, Wireless ad hoc network, Wireless Routing Protocol and Cloud computing.
His research investigates the connection between Wireless sensor network and topics such as Real-time computing that intersect with issues in Tracking system.
His Wireless study frequently draws connections to adjacent fields such as Energy consumption.
He most often published in these fields:
- Computer network (57.64%)
- Distributed computing (25.05%)
- Wireless sensor network (14.05%)
What were the highlights of his more recent work (between 2015-2021)?
- Computer network (57.64%)
- Distributed computing (25.05%)
- Cloud computing (7.13%)
In recent papers he was focusing on the following fields of study:
His primary scientific interests are in Computer network, Distributed computing, Cloud computing, Artificial intelligence and Routing.
In his study, Quality of service is inextricably linked to Vehicular ad hoc network, which falls within the broad field of Computer network.
His Distributed computing study also includes
- Resource, which have a strong connection to Bandwidth,
- Software deployment which intersects with area such as Computer security.
His Cloud computing research is multidisciplinary, incorporating elements of Service-oriented architecture, Radio access network, Mobile computing and Mobile telephony.
His Artificial intelligence research focuses on Machine learning and how it relates to Landmark.
As a member of one scientific family, he mostly works in the field of Routing, focusing on Broadcasting and, on occasion, Unicast.
Between 2015 and 2021, his most popular works were:
- Network Slices toward 5G Communications: Slicing the LTE Network (69 citations)
- Mobility Prediction-Assisted Over-the-Top Edge Prefetching for Hierarchical VANETs (47 citations)
- Edge caching with mobility prediction in virtualized LTE mobile networks (38 citations)
In his most recent research, the most cited papers focused on:
- Computer network
- The Internet
- Operating system
His main research concerns Computer network, Distributed computing, Cloud computing, Real-time computing and Wireless.
The various areas that Torsten Braun examines in his Computer network study include Redundancy, Scalability and Vehicular ad hoc network.
His Distributed computing research integrates issues from Information-centric networking, Cache, Routing protocol and Linear network coding.
His work on Edge computing as part of general Cloud computing study is frequently connected to Law enforcement, therefore bridging the gap between diverse disciplines of science and establishing a new relationship between them.
His Real-time computing research incorporates themes from Particle filter, Dead reckoning, Indoor positioning system and Positioning system.
His research in Wireless intersects with topics in Node, Content based networking and Telecommunications network.
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