Friday, August 04, 2017

On Mobile Cloud Computing

Our new paper: On context-aware proxy in Mobile Cloud computing for emergency services

In this paper, we discuss a new model for context-aware computing in 5G networks in the context of emergency services. Our intention is to present a new model for mobile services (mobile web applications) that effectively harnesses the power of 5G networks. The true power of 5G networks is to enable applications that were previously not possible. In our model, we create a mirror (duplicate copy) for mobile sensing data and allow server-side processing effectively use context information during the processing. As a result, we propose a cloud-based context-aware proxy targeting proximity related applications and services.

Friday, June 30, 2017

On Internet of Things education

Our new paper On Internet of Things and Big Data in University Courses

In this paper, we discuss Internet of Things educational programs for universities. Our final goal is to provide a structure for a new educational course for Internet of Things and related areas such as Machine to Machine communications and Smart Cities. The Internet of Things skills are in high demands nowadays and, of course, Internet of Things models, as well as appropriate Big Data proceedings elements should have a place in the university courses. The purpose of the proposed educational course is to cover information and communication technologies used in Internet of Things systems and related areas, such as Smart Cities. The educational course proposed in this paper aims to introduce students to modern information and communication technologies and create the formation of competencies needed for such areas as Machine to Machine communications, Internet of Things, and Smart Cities. Also, we discuss Big Data issues for IoT course and explain the importance of data engineering.

Thursday, June 15, 2017

RTUWO 2017

Conference on Advances in Wireless and Optical Communications 2017

Riga, Latvia
2-3 November 2017

Call for papers

Proceedings of the Conference will be published in IEEE Xplore Digital Library and indexed by SCOPUS.

The need for a new communication systems to cope with the demand of new services demanding higher performance, larger throughput, wider bandwidth and lower bit-error-rates, requires the development of new methodologies and techniques. Scientific conference RTUWO'17 is focused on the new techniques extending limits of currently used communication systems. The conference seeks submissions from academia, industry, and government institutions presenting novel research on wireless and optical communication systems. Conference calls for papers describing practical implementation activities, results and issues. Papers describing novel paradigms, original directions, or non-traditional perspectives are also encouraged. Topics of interest include, but are not limited to, the following:

1. Wireless communications

1.A. Technologies:

Software-defined radio and cognitive radio
Signal processing for wireless communications
Energy efficiency and power management
Smart and mobile antennas and propagation
Practical implementation issues and performance evaluation
Spectrum management and regulatory issues
Electromagnetic energy harvesting
Global and local positioning systems in wireless networks

1.B. Networking:

Intelligent transportation system and vehicular communications
Wireless sensor networks
Machine-to-machine communications
MAC layer and routing protocols
Ad-hoc and cell-based networking
Multiple access and scheduling
Cooperative and distributed communications
Radio resource allocation, bit allocation, power allocation
Performance analysis, QoS and network management
Cross-layer optimization
Advanced wireless network technologies, architectures
Cellular-Wi-Fi Integration and interworking
Traffic analysis of wireless networks

1.C. Wireless PHY:

Advanced MIMO techniques
Ultra-wideband communications
Multicarrier communications
Channel characterization
Channel coding
Acoustic communication systems
Physical layer security

2. Optical communications

Optical Signal Processing
Advances in Optical Networking
Photonic Communications Systems and Networks
High-speed Optical Communications systems and devices
All-Optical Communication Systems
Passive optical networks
Active optical networks
Energy-Efficient and Spectral-Efficient Optical Communication Systems
Microwave Photonics
Optical MIMO
Radio over Fiber (RoF) and Wireless over Fiber (WoF) systems
Optical Fibers and Fiber Devices for Optical Communications
Optical Amplifiers
Modeling and Optimization of Optical Communication Networks
Optical sensors technologies
Optical network management
Software-defined networks
Visible light communication

Important dates

Paper submission due: August 1, 2017
Notification to authors: September 10, 2017
Camera ready due: October 8, 2017

Registration fee

Participation in the conference and publication of the accepted paper in IEEE Xplore Digital Library is free of charge. The financial sponsor of the conference is Riga Technical University. Venue

Conference will be held at the Faculty of Electronics and Telecommunications of Riga Technical University, Riga, Latvia. Riga is a wonderful ancient Hanseatic city on the coast of Baltic sea. Conference event on the vital combination of wireless and optical communications offers an excellent opportunity to network with specialists and forge new friendships and cooperation with colleagues in Europe, Asia and worldwide.


RTUWO is held annually from 2015. Each year in the conference more than 50 high quality papers are presented.


Please direct all correspondence to Dr. Arturs Aboltins, Riga Technical University,
Azenes 12, Riga, Latvia, LV-1048
Tel: +371 26 557 340.
As more information becomes available, it will be published at the RTUWO'17 Conference web page

Friday, May 19, 2017

On Mobile Crowdsensing

Our new paper: On Data Persistence Models for Mobile Crowdsensing Applications

In this paper, we discuss various models and solutions for saving data in crowdsensing applications. A mobile crowdsensing is a relatively new sensing paradigm based on the power of the crowd with the sensing capabilities of mobile devices, such as smartphones, wearable devices, cars with mobile equipment, etc. This conception (paradigm) becomes quite popular due to huge penetration of mobile devices equipped with multiple sensors. The conception enables to collect local information from individuals (they could be human persons or things) surrounding environment with the help of sensing features of the mobile devices. In our paper, we provide a review of the data persistence solutions (back-end systems, data stores, etc.) for mobile crowdsensing applications. The main goal of our research is to propose a software architecture for mobile crowdsensing in Smart City services. The deployment for such kind of applications in Russia has got some limitations due to legal restrictions also discussed in our paper.

Monday, March 20, 2017

Foundation of Data Science

A must read book Foundations of Data Science by Avrim Blum, John Hopcroft and Ravindran Kannan. 2016

Thursday, March 02, 2017


«Data Analytics and Management in Data Intensive Domains» conference (DAMDID) is planned as a multidisciplinary forum of researchers and practitioners from various domains of science and research promoting cooperation and exchange of ideas in the area of data analysis and management in data intensive domains. Approaches to data analysis and management being developed in specific data intensive domains of X-informatics (such as X = astro, bio, chemo, geo, medicine, neuro, physics, etc.), social sciences, as well as in various branches of informatics, industry, new technologies, finance and business are expected to contribute to the conference content.

Call for papers

Monday, February 27, 2017

Mobile World Congress

We continue to share links for monitoring the interesting events in Twitter. Now it is MWC 2017, Barselona, 2017

Twitter Live Feed: MWC 2017

/via Bluetooth Data Points

Thursday, February 16, 2017

On Interenet of Things Programming models

In this paper, we present the review of existing and proposed programming models for Internet of Things (IoT) applications. The requests by the economy and the development of computer technologies (e.g., cloud-based models) have led to an increase in large-scale projects in the IoT area. The large-scale IoT systems should be able to integrate diverse types of IoT devices and support big data analytics. And, of course, they should be developed and updated at a reasonable cost and within a reasonable time. Due to the complexity, scale, and diversity of IoT systems, programming for IoT applications is a great challenge. And this challenge requires programming models and development systems at all stages of development and for all aspects of IoT development. The first target for this review is a set of existing and future educational programs in information and communication technologies at universities, which, obviously, must somehow respond to the demands of the development of IoT systems.

See our new paper here

Friday, January 20, 2017

On Bluetooth proximity

In this article, we consider a service model based on network proximity and using Bluetooth. In this connection, we consider services based on the Core Bluetooth as well as services based on Bluetooth Low Energy. In particular, we present our vision on the applicability of Bluetooth Low Energy for positioning applications. This paper also provides specific models for Bluetooth network proximity based services and applications. The content of this paper generalizes our previous research articles in the field of network proximity and Physical Web and presents the experience gained during the implementation of a number of practical projects that use services based on network proximity.

from our new paper: On Bluetooth proximity models

Wednesday, January 18, 2017

Mobile Cloud for Smart Cities

This paper is devoted to mobile cloud services in Smart City projects. As per mobile cloud computing paradigm, the data processing and storage are moved from the mobile device to a cloud. In the same time, Smart City services typically contain a set of applications with data sharing options. Most of the services in Smart Cities are actually mashups combined data from several sources. This means that access to all available data is vital to the services. And the mobile cloud is vital because the mobile terminals are one of the main sources for data gathering. In our work, we discuss criteria for selecting mobile cloud services.

Our new paper in International Journal of Online Engineering