S
Srdjan Krco
Researcher at Ericsson
Publications - 70
Citations - 2325
Srdjan Krco is an academic researcher from Ericsson. The author has contributed to research in topics: Wireless sensor network & Mobile computing. The author has an hindex of 20, co-authored 66 publications receiving 2049 citations. Previous affiliations of Srdjan Krco include University of Belgrade.
Papers
More filters
Journal ArticleDOI
SmartSantander: IoT experimentation over a smart city testbed
Luis Sanchez,Luis Muñoz,Jose Antonio Galache,Pablo Sotres,Juan Ramón Santana,Verónica Gutiérrez,Rajiv Ramdhany,Alexander Gluhak,Srdjan Krco,Evangelos Theodoridis,Dennis Pfisterer +10 more
TL;DR: The IoT experimentation facility described in this paper is conceived to provide a suitable platform for large scale experimentation and evaluation of IoT concepts under real-life conditions to influence the definition and specification of Future Internet architecture design.
Journal ArticleDOI
A survey on facilities for experimental internet of things research
Alexander Gluhak,Srdjan Krco,Michele Nati,Dennis Pfisterer,Nathalie Mitton,Tahiry Razafindralambo +5 more
TL;DR: This article identifies requirements for the next generation of IoT experimental facilities, while providing a taxonomy, and survey currently available research testbeds, identify existing gaps, and suggest new directions based on experience from recent efforts in this field.
Proceedings ArticleDOI
Designing IoT architecture(s): A European perspective
TL;DR: An overview of the activities done in Europe towards definition of such a common framework together with how it is being used and a potential outlook for these efforts is presented.
Patent
Pre-fetching of data in a mobile communications environment
TL;DR: In this paper, a pre-fetching of data items into a cache associated with a mobile terminal is discussed, where a cache management server is used to provide the selected items in response to the pre-fetched request.
Proceedings Article
Simple Traffic Modeling Framework for Machine Type Communication
Navid Nikaein,Markus Laner,Kaijie Zhou,Philipp Svoboda,Dejan Drajic,Milica Popovic,Srdjan Krco +6 more
TL;DR: This paper proposes a framework for traffic modeling, generation, and load estimation for machine-type communication that can be used to optimize the network to the intrinsic MTC traffic characteristic.