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EAI Endorsed Transactions on Mobile Communications and Applications

Editor(s)-in-Chief: Jun Zheng

Scope

EAI Endorsed Transactions on Mobile Communications and Applications is a scholarly archival journal that is committed to the timely publication of high-quality original research papers on all aspects of mobile communications theories, technologies, systems, and applications. All submissions will go…

EAI Endorsed Transactions on Mobile Communications and Applications is a scholarly archival journal that is committed to the timely publication of high-quality original research papers on all aspects of mobile communications theories, technologies, systems, and applications. All submissions will go through a rigorous peer-review process, and be reviewed by expert referees and evaluated by the editorial board. Areas of interests include but are not limited to: * Mobile cellular networks * Mobile ad hoc networks * Mobile Internet * WiMAX networks * Vehicular networks * Wireless sensor networks * Satellite communications systems * Mobile system and network architectures * Network control and management * Mobility management * Modulation and coding techniques * Quality of service * Reliability and fault tolerance * Security and privacy * Mobile applications and services * Performance modelling and analysis

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Topics

Areas of interests include but are not limited to:

  • Mobile cellular networks
  • Mobile ad hoc networks
  • Mobile Internet
  • WiMAX networks
  • Vehicular networks
  • Wireless sensor networks
  • Satellite communications systems
  • Mobile system and network architectures
  • Network control and man…

Areas of interests include but are not limited to:

  • Mobile cellular networks
  • Mobile ad hoc networks
  • Mobile Internet
  • WiMAX networks
  • Vehicular networks
  • Wireless sensor networks
  • Satellite communications systems
  • Mobile system and network architectures
  • Network control and management
  • Mobility management
  • Modulation and coding techniques
  • Quality of service
  • Reliability and fault tolerance
  • Security and privacy
  • Mobile applications and services
  • Performance modelling and analysis
more »

Special Issues

Special Issue Editor: Dr. Jorge de Jesus Lozoya Santos

Special Issue Editor: Dr. Jorge de Jesus Lozoya Santos

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Editorial Board

  • Dr. Nirwan Ansari (Department of Electrical and Computer Engineering, New Jersey Institute of Technology, USA)
  • Dr. Raj Jain (Department of Computer Science and Engineering, Washington University in St. Louis, USA)

  • Dr. Nei Kato (Graduate School of Information Sciences, …

  • Dr. Nirwan Ansari (Department of Electrical and Computer Engineering, New Jersey Institute of Technology, USA)
  • Dr. Raj Jain (Department of Computer Science and Engineering, Washington University in St. Louis, USA)
  • Dr. Nei Kato (Graduate School of Information Sciences, Tohoku University, Japan)
  • Dr. Tiffany Jing Li (Department of Electrical and Computer Engineering, Lehigh University, USA)
  • Dr. Shiwen Mao (Department of Electrical and Computer Engineering, Auburn University, USA)
  • Dr. Tommaso Melodia (Department of Electrical Engineering, State University of New York at Buffalo, USA)
  • Dr. Claude Oestges (Microwave Laboratory, Université catholique de Louvain (UCL), Belgium)
  • Dr. Kostas Pentikousis (European Research Centre, Huawei Technologies, Germany)
  • Dr. Charles E. Perkins (WiChorus Inc., USA)
  • Dr. Martin Reisslein (Department of Electrical Engineering, Arizona State University, USA)
  • Dr. David Simplot-Ryl (Fundamental Computer Science Laboratory, Centre de recherche INRIA Lille,
  • Dr. Wenye Wang (Department of Electrical and Computer Engineering, North Carolina State University, USA)
  • Dr. Baoxian Zhang (Graduate University, Chinese Academy of Sciences, China)
  • Dr. Cristian Borcea (NJIT)
  • Dr. Paolo Bellavista (University of Bologna)
  • Dr. Jian Ren (Michigan State University)
  • Dr. Lei Chen (Georgia Southern University)
  • Dr. Houbing Song (Embry-Riddle Aeronautical University)
  • Dr. Dalei Wu (The University of Tennessee at Chattanoog, USA)
  • Dr. Qing Yang (University of North Texas)
  • Dr. Shaoen Wu (Ball State University, USA)
  • Dr. Dapeng Wu (Chongqing University of Posts and Telecommunications)
  • Dr. Tigang jiang (UESTC)
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Submission Instructions
Publication Ethics and Malpractice Statement
Editors and Editorial Board
Publisher
EAI
ISSN
2032-9504
Volume
2
Published
6th Dec 2016

  • Mobile device-based mindfulness intervention promotes emotional regulation during anticipatory stress

    Research Article in EAI Endorsed Transactions on Mobile Communications and Applications 16(9): e1

    Eric Mayor, Liudmila Gamaiunova

    Abstract
    Mindfulness training applications for mobile devices are increasing in number and use, but little is known on their effectiveness. Our study (N = 107) is the first to examine the effect of a brief mo…Mindfulness training applications for mobile devices are increasing in number and use, but little is known on their effectiveness. Our study (N = 107) is the first to examine the effect of a brief mobile-based mindfulness intervention on the emotional reactions to anticipatory social stress. Results show that the intervention is effective in weakening the increase of negative affect related to anticipatory stress, mostly in men. Implications and future research directions are discussed.
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  • Routing Metric based on Slot Length of AODV on Multihop DESYNC-TDMA

    Research Article in EAI Endorsed Transactions on Mobile Communications and Applications 16(9): e2

    Kwangsoo Kim, Cheol-Woong Lee, Byeong-hee Roh, Bongsoo Roh, Myoung-hun Han

    Abstract
    DESYNC-TDMA is a representative bio-inspired MAC protocol which assigns slots of each node evenly in decentralized manner. However, it could suffer from bottleneck node on the delivery path because t…DESYNC-TDMA is a representative bio-inspired MAC protocol which assigns slots of each node evenly in decentralized manner. However, it could suffer from bottleneck node on the delivery path because the slot is evenly assigned according to the number of neighbors in two hop range. In such a case the routing path having smaller slot length could be chosen due to its shorter hop count. This problem causes performance degradation. In this paper, we propose a routing metric using both slot length and hop count with cross-layer approach. Our scheme improves overall network performance by choosing and updating better route.
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  • Distributed Call Admission Control for DESYNC-TDMA in Mobile Ad Hoc Networks

    Research Article in EAI Endorsed Transactions on Mobile Communications and Applications 16(9): e3

    Bongsoo Roh, Myoung-hun Han, Mijeong Hoh, Hwi-Sung Park, Kwangsoo Kim, Byeong-hee Roh

    Abstract
    DESYNC-TDMA is a self-organizing algorithm based on bio-inspired features used to implement a collision-free MAC. It does not require a global clock or other infrastructures, and it automatically adj…DESYNC-TDMA is a self-organizing algorithm based on bio-inspired features used to implement a collision-free MAC. It does not require a global clock or other infrastructures, and it automatically adjusts to the number of participating nodes to ensure that the available bandwidth is always fully utilized. In DESYNC-TDMA the time slots assigned to each node are equally allocated according to the number of nodes, and its slots are allocated one over the number of nodes. It is hard to guarantee the certain level of QoS for certain types of traffic. In this paper, we propose Distributed Call Admission Control (D-CAC) for DESYNC protocol, which is able for nodes to control joining the network with distributed manner. Our scheme needs to add only small amount of bit/flag information to the fire messages of DESYNC protocol. Simulation results showed that D-CAC is able to guarantee a certain amount of allocated slots to send its traffic by control not to join the network if congested.
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  • Extending TestelDroid to support remote control and large-scale testing in mobile networks

    Research Article in EAI Endorsed Transactions on Mobile Communications and Applications 16(9): e4

    Almudena Diaz-Zayas, Álvaro Recio-Pérez, Cesar García-Pérez, Pedro Merino

    Abstract
    This paper presents the extensions carried out in the Android measurement and monitoring tool TestelDroid, in order to support remote control and large-scale experimentation. The extensions includes …This paper presents the extensions carried out in the Android measurement and monitoring tool TestelDroid, in order to support remote control and large-scale experimentation. The extensions includes support for Standard Commands for Programmable Instruments (SCPI), cOntrol and Management Framework (OMF) and OMFMeasurement Library (OML). SCPI is the most widespread interface for measurement equipment control in many areas, for example, electronics or telecommunications. On the other hand, the support of technologies like OMF and OML provides powerful orchestration framework languages which reduces the time required for de ning experiments.
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  • Real time event-based segmentation to classify locomotion activities through a single inertial sensor

    Research Article in EAI Endorsed Transactions on Mobile Communications and Applications 16(9): e5

    Benish Fida, Daniele Bibbo, Ivan Bernabucci, Antonino Proto, Silvia Conforto, Maurizio Schmid

    Abstract
    We propose an event-based dynamic segmentation technique for the classification of locomotion activities, able to detect the mid-swing, initial contact and end contact events. This technique is based…We propose an event-based dynamic segmentation technique for the classification of locomotion activities, able to detect the mid-swing, initial contact and end contact events. This technique is based on the use of a shank-mounted inertial sensor incorporating a tri-axial accelerometer and a tri-axial gyroscope, and it is tested on four different locomotion activities: walking, stair ascent, stair descent and running. Gyroscope data along one component are used to dynamically determine the window size for segmentation, and a number of features are then extracted from these segments. The event-based segmentation technique has been compared against three different fixed window size segmentations, in terms of classification accuracy on two different datasets, and with two different feature sets. The dynamic event-based segmentation showed an improvement in terms of accuracy of around 5% (97% vs. 92% and 92% vs. 87%) and 1-2% (89% vs. 87% and 97% vs. 96%) for the two dataset, respectively, thus confirming the need to incorporate an event-based criterion to increase performance in the classification of motion activities.
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