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  • Addressing the Bandwidth Demand of Immersive Applications Through NFV in a 5G Network
    Mobile Netw. Appl. (IF 2.39) Pub Date : 2020-03-27
    Armir Bujari, Ombretta Gaggi, Michele Luglio, Claudio E. Palazzi, Giacomo Quadrio, Cesare Roseti, Francesco Zampognaro

    Abstract Immersive technology is expected to become a key player in the next wave of consumer electronics with potential applications spanning a wide variety of sectors. Yet, there are a number of technological hurdles which need to be addressed. Without speed and computation capability, interactivity cannot be ensured. More than often the constrained nature of the mobile device demands is complemented

  • Graph-Based Radio Resource Sharing Schemes for MTC in D2D-based 5G Networks
    Mobile Netw. Appl. (IF 2.39) Pub Date : 2020-03-21
    Safa Hamdoun, Abderrezak Rachedi, Yacine Ghamri-Doudane

    Abstract Apart from the the increasing demand of smartphones in human-to-human (H2H) communications, the introduction of machine-to-machine (M2M) devices poses significant challenges to wireless cellular networks. In order to offer the ability to connect billion of devices to propel the society into a new era of connectivity in our homes, officies and smart cities, we design novel radio resource sharing

  • Detecting Vehicles’ Relative Position on Two-Lane Highways Through a Smartphone-Based Video Overtaking Aid Application
    Mobile Netw. Appl. (IF 2.39) Pub Date : 2020-03-18
    Subhadeep Patra, David Van Hamme, Peter Veelaert, Carlos T. Calafate, Juan-Carlos Cano, Pietro Manzoni, Willian Zamora

    Abstract In this paper we present a smartphone-based real-time video overtaking architecture for vehicular networks. The developed application aims to prevent head-on collisions that might occur due to attempts to overtake when the view of the driver is obstructed by the presence of a larger vehicle ahead. Under such conditions, the driver does not have a clear view of the road ahead and of any vehicles

  • Designing Playful Cities: Audio-Visual Metaphors for New Urban Environment Experience
    Mobile Netw. Appl. (IF 2.39) Pub Date : 2020-03-05
    Predrag K. Nikolic, Hua Yang

    Abstract Smart City concept tends to improve quality of life by using digital technology and efficient consumption of resources. However, many other aspects related to the quality of citizens needs, such as social, entertaining and fun, which are beyond the efficiency are neglected as for the healthy and happy life of smart cities inhabitants. This paper discusses two playful outdoor artworks featuring

  • Participation of all Employee Categories in Innovation Processes in Slovak Organisations
    Mobile Netw. Appl. (IF 2.39) Pub Date : 2020-03-03
    Zdenko Stacho, Katarína Stachová, Dagmar Cagáňová

    Abstract Dynamically changing environment and the coming fourth industrial revolution represent a great challenge for businesses not only in Slovakia; and increasing companies´ innovation potential is the way how such challenges can be successfully dealt with. The internal potential of a company is most significantly affected by the potential and commitment of its employees, which can be directly influenced

  • Managerial Skills for Innovation Support
    Mobile Netw. Appl. (IF 2.39) Pub Date : 2020-02-29
    Vladimír Švač, Dagmar Cagáňová

    Abstract New solutions are more and more needed due to the fact that new trends in technology, communication, global knowledge, new managerial approaches, building new types of partnerships, and other changing conditions in business and life create totally different situations and cause various problems. All these accompanying phenomena have impact on development of people and their skills and it is

  • Designing Energy Efficient Strategies Using Markov Decision Process for Crowd-Sensing Applications
    Mobile Netw. Appl. (IF 2.39) Pub Date : 2020-02-26
    Arpita Ray, Chandreyee Chowdhury, Sakil Mallick, Sukanta Mondal, Soumik Paul, Sarbani Roy

    Abstract In mobile crowd-sensing, smartphone users take part in sensing and then share the data to the server (cloud) and get an incentive. These data can be utilized for providing better services to improve quality of life. Batteries used in smartphones constrain the usability of these devices for longer charge cycles. Hence, maintaining a balance between energy consumption due to crowd-sensing application

  • Smart Cities Concept for Historical Buildings
    Mobile Netw. Appl. (IF 2.39) Pub Date : 2020-02-25
    Gabriela Pavlendová, Jana Šujanová, Dagmar Cagáňová, Renata Nováková

    Abstract The article presents the literature review on building environment quality especially humidity of historical buildings. It is based on the research of the application of electro osmosis for drying of historical buildings in Bratislava conducted by the Department of the physics at the Faculty of Civil Engineering Slovak University of Technology in Bratislava. The applied technology is put in

  • Using SMS for Communication with IoT Devices
    Mobile Netw. Appl. (IF 2.39) Pub Date : 2020-02-24
    Peter Pistek, Martin Hudec

    Abstract This paper is in the context of Smart Cities and Internet of Things (IoT). We proposed a novel approach in communication of IoT devices via SMS messages. This can be beneficial during changing configuration of IoT devices or during sending data from IoT devices. SMS has some disadvantages in security and effective payload. As the security is an ongoing topic in this field, our solution manages

  • ShadowFPE: New Encrypted Web Application Solution Based on Shadow DOM
    Mobile Netw. Appl. (IF 2.39) Pub Date : 2020-02-22
    Xiaojie Guo, Yanyu Huang, Jinhui Ye, Sijie Yin, Min Li, Zhaohui Li, Siu-Ming Yiu, Xiaochun Cheng

    Abstract Most of users hesitate to use third-party web applications because of security and privacy concerns. An ideal solution would be to allow apps to work with encrypted data, so that users might be more willing to provide just the encrypted version of their sensitive data. ShadowCrypt, proposed in CCS 2014, is the first and so far only solution that can achieve this by leveraging the encapsulation

  • Privacy Perception when Using Smartphone Applications
    Mobile Netw. Appl. (IF 2.39) Pub Date : 2020-02-21
    Marco Furini, Silvia Mirri, Manuela Montangero, Catia Prandi

    Abstract Our smartphone is full of applications and data that analytically organize, facilitate and describe our lives. We install applications for the most varied reasons, to inform us, to have fun and for work, but, unfortunately, we often install them without reading the terms and conditions of use. The result is that our privacy is increasingly at risk. Considering this scenario, in this paper

  • A Cautionary Tale for Machine Learning Design: why we Still Need Human-Assisted Big Data Analysis
    Mobile Netw. Appl. (IF 2.39) Pub Date : 2020-02-19
    Marco Roccetti, Giovanni Delnevo, Luca Casini, Paola Salomoni

    Abstract Supervised Machine Learning (ML) requires that smart algorithms scrutinize a very large number of labeled samples before they can make right predictions. And this is not always true either. In our experience, in fact, a neural network trained with a huge database comprised of over fifteen million water meter readings had essentially failed to predict when a meter would malfunction/need disassembly

  • Correction to: Antenna Selection in TDD Massive MIMO Systems
    Mobile Netw. Appl. (IF 2.39) Pub Date : 2020-02-18
    Guiyue Jin, Chaoyue Zhao, Zhuyun Fan, Jiyu Jin

    The original version of this article unfortunately contained mistakes in the “author group”, “System model” and “Antenna selection method based on energy efficiency” sections.

  • Design and Analysis of Fractal Based Monopole Antenna Backed with Modified Jerusalem Cross Frequency Selective Surface for Wireless Personal Area Communications
    Mobile Netw. Appl. (IF 2.39) Pub Date : 2020-02-17
    Bashyam Sugumaran, Ramachandran Balasubramanian

    Abstract This paper presents a low profile Single-layer Modified Jerusalem Cross Frequency Selective Surface (SMJC FSS) which functions as a band-stop filter to shield the 2.45 GHz Industrial, Scientific and Medical (ISM) band with a unit cell size of 0.249λg × 0.249λg × 0.027λg. Compared to JC FSS, 50% size reduction is achieved by the effect of capacitive and inductive loading. The proposed FSS exhibits

  • Systematic Literature Review on Energy Efficient Routing Schemes in WSN – A Survey
    Mobile Netw. Appl. (IF 2.39) Pub Date : 2020-02-16
    Maryam Shafiq, Humaira Ashraf, Ata Ullah, Shireen Tahira

    Abstract In wireless sensor networks (WSN), routing is quite challenging area of research where packets are forwarded through multiple nodes to the base station. The packet being sent over the network should be shared in an energy efficient manner. It also considers the residual power of battery to enhance the network life time. Existing energy efficient routing solutions and surveys are presented

  • The Influence of GDPR on Activities of Social Enterprises
    Mobile Netw. Appl. (IF 2.39) Pub Date : 2020-02-16
    Ondřej Kročil, Richard Pospíšil

    Abstract Social enterprises use a variety of tools to communicate with the public. These tools include, in particular, enterprise websites, online stores integrated into these websites and social media profiles. Nowadays, especially social media is an important corporate communication platform. Because all these tools work with personal data, social enterprises must take into account the new European

  • Emissions Production from Small Heat Sources Depending on Various Aspects
    Mobile Netw. Appl. (IF 2.39) Pub Date : 2020-02-14
    Jozef Jandačka, Michal Holubčík

    Abstract Solid fuels combustion is rather complicated because there is always environment pollution by emissions, mainly by particulate matter. The efforts of heat sources manufacturers and also operators should be increase the effectivity of the combustion process with minimizing of emissions production. Nowadays it is possible effectively burn the biomass fuels in modern heat sources. The combustion

  • Smart Solution of Traffic Congestion through Bike Sharing System in a Small City
    Mobile Netw. Appl. (IF 2.39) Pub Date : 2020-02-13
    Mária Holienčinová, Zdenka Kádeková, Tomáš Holota, Ľudmila Nagyová

    Abstract Bike sharing system as mode of public transport is very popular in the world. This smart solution can be described as answer to an increasingly frequent traffic congestion and parking problems in many cities all around the world. This issue is beginning to relate to some cities in Slovakia as well. Bicycles address traffic congestion as they form a valid substitution for cars on short trips

  • On Smart City and Safe City Concepts
    Mobile Netw. Appl. (IF 2.39) Pub Date : 2020-02-13
    Jozef Ristvej, Maroš Lacinák, Roman Ondrejka

    Abstract With current environmental and social challenges in mind, we can say, that Smart Cities are becoming the need of modern society. Many cities in the world are already transforming their ways to be more efficient, greener and also safer. According to our studies, field of safety receives less focus in development strategies than other fields of smart development. However, to create a real Smart

  • Adaptive Extraction and Refinement of Marine Lanes from Crowdsourced Trajectory Data
    Mobile Netw. Appl. (IF 2.39) Pub Date : 2020-02-12
    Guiling Wang, Jinlong Meng, Zhuoran Li, Marc Hesenius, Weilong Ding, Yanbo Han, Volker Gruhn

    Abstract Crowdsourced trajectory data of ships provide the opportunity for extracting marine lane information. However, extracting useful knowledge from massive amounts of trajectory data is a challenging problem. Trajectory data collected from crowdsourcing can be extremely diverse in different areas and its quality might be very low. Moreover, the density distribution of the crowdsourced trajectory

  • Collaborative Thompson Sampling
    Mobile Netw. Appl. (IF 2.39) Pub Date : 2020-02-10
    Zhenyu Zhu, Liusheng Huang, Hongli Xu

    Abstract Thompson sampling is one of the most effective strategies to balance exploration-exploitation trade-off. It has been applied in a variety of domains and achieved remarkable success. Thompson sampling makes decisions in a noisy but stationary environment by accumulating uncertain information over time to improve prediction accuracy. In highly dynamic domains, however, the environment undergoes

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