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Marko Mäkeläinen

dblp:150/3227 · DBLP profile ↗
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3ranked-venue papers
0as first author
0since 2021 · last 2015
—ORCID · none

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

Computer networks · 3

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
3 papers
Internet of things and sensor networks · 39% Wireless networking · 34% Cellular and mobile networks · 22%
Computer architecture, parallel and distributed computing, and storage systems
2 papers
Embedded and real-time systems · 50% Integrated circuit design · 50%

Topics — the 7 heaviest of 9, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Internet of things and sensor networks
wireless sensor and actuator networks
0.212015
Demo: Modular Multi-radio Wireless Sensor Platform for IoT Trials with Plug&Play Module Connection · MobiCom 2015
Wireless networking › cognitive radio › spectrum sharing
co-primary spectrum sharing
0.212014
Demo: co-primary spectrum sharing with inter-operator D2D trial · MobiCom 2014
Cellular and mobile networks
device-to-device communication
0.212014
Demo: co-primary spectrum sharing with inter-operator D2D trial · MobiCom 2014
Wireless networking › cognitive radio
spectrum sharing
0.212014
Demo: co-primary spectrum sharing with inter-operator D2D trial · MobiCom 2014
Integrated circuit design
hardware composition
0.112015
Demo: Modular Multi-radio Wireless Sensor Platform for IoT Trials with Plug&Play Module Connection · MobiCom 2015
Cellular and mobile networks
radio resource management
0.112014
Demo: co-primary spectrum sharing with inter-operator D2D trial · MobiCom 2014
Network optimization and economics
resource allocation
0.112014
Demo: co-primary spectrum sharing with inter-operator D2D trial · MobiCom 2014

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

module identification · 0.4auto-configuration · 0.4testbed · 0.2
YearPublicationVenuePosition
2015 Extensible modular wireless sensor and actuator network and IoT platform with plug&play module connection
abstract
Efficiency and flexibility are among the key requirements for Wireless Sensor and Actuator Networks (WSAN) of Internet of Things (IoT) era. In this work we present and demonstrate a novel WSAN and IoT platform. The new nodes are constructed by stacking together the different hardware modules encapsulating power sources, processing units, wired and wireless transceivers, sensors and actuators, or sets of those. Once a node is built, its processing unit can automatically identify all the connected hardware modules, obtain required software modules and tune node's operation accounting for its structure, available resources and active applications.
Konstantin Mikhaylov, Juha Petäjäjärvi, Marko Mäkeläinen, Anton Paatelma, Tuomo Hänninen
IPSN3
2015 Demo: Modular Multi-radio Wireless Sensor Platform for IoT Trials with Plug&Play Module Connection
abstract
In the paper we present and demonstrate the modular prototyping platform designed for trialing the Internet of Things (IoT) applications. The new devices are constructed by stacking together the various hardware modules encapsulating power sources, processing units, wired and wireless transceivers, sensors and actuators, or sets of those. The main processing unit automatically identifies all the attached modules and adjusts own operation accordingly. The demo will showcase how the platform can be used for building up multi-radio technology enabled wireless devices which will automatically form a heterogeneous wireless sensor and actuator network (WSAN). The possible use case scenarios and the ongoing research activities around the platform will be highlighted as well.
Konstantin Mikhaylov, Juha Petäjäjärvi, Marko Mäkeläinen, Anton Paatelma, Tuomo Hänninen
MobiCom3
2014 Demo: co-primary spectrum sharing with inter-operator D2D trial
abstract
A co-primary spectrum sharing trial is presented in this paper. It is presenting a flexible way to share resources between multiple operators in order to increase spectral efficiency. In this trial the differences in traffic patterns of the mobile network operators are exploited to ease up the peak traffic demands of particular operator. This shared recourse is also usable for inter-operator D2D communication, when two users of different operators want to communicate and operators need to negotiate resource allocation for this communication link. We will also introduce Wireless Open Access Research Platform as our choice for the implementation of this trial.
Markku Jokinen, Marko Mäkeläinen, Tuomo Hänninen
MobiCom2