Towards a real-time data sharing system for mobile devices

被引:2
|
作者
Bagale, Jiva N. [1 ]
Shiyanbola, Abdurrahman [1 ]
Moore, John P. T. [1 ]
Kheirkhahzadeh, Antonio D. [1 ]
机构
[1] Univ West London, Sch Comp & Technol, London W5 5RF, England
关键词
D O I
10.1109/NGMAST.2014.19
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
Mobile devices are increasingly used for information sharing. The sensors embedded inside these devices are generating a range of information about their location, surrounding environment and user activities. This information can be shared with others in real-time so that it can be used or analysed instantaneously. The popularity of participatory sensing involving humans and mobile devices(phones, PDAs, tablets etc) has also fuelled the growth of large scale data management. Although the typical network bandwidth available in mobile devices has been improving it remains limited with the rise in communication activity. Therefore, data could be optimised on the device to make it more suitable for the available network bandwidth. A scalable real-time data sharing system can be built by using existing message formats, messaging architectures and compression techniques. We will look at the bandwidth limitation and scalability issue with special focus on the impact of message compression in such networks.
引用
收藏
页码:147 / 152
页数:6
相关论文
共 50 条
  • [1] Development of real-time tracking system with data sharing between IoT devices
    Lee, Jongbin
    [J]. BASIC & CLINICAL PHARMACOLOGY & TOXICOLOGY, 2020, 127 : 17 - 17
  • [2] The Benefits of Comprehensive, Real-time Data from Mobile Devices
    Smith, Cy
    [J]. ITE JOURNAL-INSTITUTE OF TRANSPORTATION ENGINEERS, 2014, 84 (08): : 18 - 19
  • [3] LIGHTWEIGHT NETWORK TOWARDS REAL-TIME IMAGE DENOISING ON MOBILE DEVICES
    Liu, Zhuoqun
    Jin, Meiguang
    Chen, Ying
    Liu, Huaida
    Yang, Canqian
    Xiong, Hongkai
    [J]. 2023 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, ICIP, 2023, : 2270 - 2274
  • [4] ThunderNet: Towards Real-time Generic Object Detection on Mobile Devices
    Qin, Zheng
    Li, Zeming
    Zhang, Zhaoning
    Bao, Yiping
    Yu, Gang
    Peng, Yuxing
    Sun, Jian
    [J]. 2019 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV 2019), 2019, : 6717 - 6726
  • [5] A Real-Time GNSS/PDR Navigation System for Mobile Devices
    Basso, Michele
    Martinelli, Alessio
    Morosi, Simone
    Sera, Fabrizio
    [J]. REMOTE SENSING, 2021, 13 (08)
  • [6] Pelee: A Real-Time Object Detection System on Mobile Devices
    Wang, Robert J.
    Li, Xiang
    Ling, Charles X.
    [J]. ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 31 (NIPS 2018), 2018, 31
  • [7] Real-time camera tracking for mobile devices: The VisiTrack system
    Stichling, D
    Esau, N
    Kleinjohann, B
    Kleinjohann, L
    [J]. REAL-TIME SYSTEMS, 2006, 32 (03) : 279 - 305
  • [8] Secure Sharing and Searching for Real-Time Video Data in Mobile Cloud
    Liu, Joseph K.
    Au, Man Ho
    Susilo, Willy
    Liang, Kaitai
    Lu, Rongxing
    Srinivasan, Bala
    [J]. IEEE NETWORK, 2015, 29 (02): : 46 - 50
  • [9] Real-time PPG Monitoring System for Mobile Healthcare Devices
    Kim, Ji Kwang
    Oh, Jung Hwan
    Gwon, Oh Seong
    Yang, Jung Woong
    Lee, Seung Eun
    [J]. 2017 IEEE INTERNATIONAL SYMPOSIUM ON CONSUMER ELECTRONICS (ISCE), 2017, : 84 - 85
  • [10] Real-Time Camera Tracking for Mobile Devices: The VisiTrack System
    Dirk Stichling
    Natascha Esau
    Bernd Kleinjohann
    Lisa Kleinjohann
    [J]. Real-Time Systems, 2006, 32 : 279 - 305