Location Based Data Delivery Schedulers for Vehicle Telematics Applications

被引:0
|
作者
Xu, Ke [1 ]
Orlik, Philip V. [2 ]
Nagai, Yukimasa [3 ]
Saito, Masashi [3 ]
机构
[1] Clemson Univ, Holcombe Dept ECE, Clemson, SC 29634 USA
[2] Mitsubishi Elect Res Labs, Digital Commun Grp, Cambridge, MA USA
[3] Mitsubishi Electr Corp, Informat Technol R&D Ctr, Kamakura, Kanagawa 247, Japan
关键词
scheduling; data delivery; telematics; vehicular networks; RESOURCE-ALLOCATION;
D O I
暂无
中图分类号
TN [电子技术、通信技术];
学科分类号
0809 ;
摘要
This paper proposes four schedulers using location information and side information in telematics applications for vehicular networks. The scheduler algorithms consider peak traffic and link reliability, achieving savings of channel resources and reducing the number of retransmissions. A key feature of the proposed schedulers is the use side information in the form of a coverage map, which provides a map of link quality for the area covered by the radio access networks. In this paper, the total offered load and average excess delay are considered as two metrics for measuring the proposed schedulers, which are evaluated by simulation results. The performance of schedulers is reported and compared.
引用
收藏
页数:5
相关论文
共 50 条
  • [21] Automatic Vehicle Location and Monitoring System Based on Data Distribution Service
    Almadani, Basem
    Khan, Shehryar
    Sheltami, Tarek R.
    Shakshuki, Elhadi M.
    Musaddiq, Muhammad
    Saeed, Bilal
    5TH INTERNATIONAL CONFERENCE ON EMERGING UBIQUITOUS SYSTEMS AND PERVASIVE NETWORKS / THE 4TH INTERNATIONAL CONFERENCE ON CURRENT AND FUTURE TRENDS OF INFORMATION AND COMMUNICATION TECHNOLOGIES IN HEALTHCARE / AFFILIATED WORKSHOPS, 2014, 37 : 127 - +
  • [22] Telematics of Delivery Optimization Based on Cross Docking Concept in Poland
    Bilinska, Katarzyna
    Dewalska, Anna
    ACTIVITIES OF TRANSPORT TELEMATICS, 2013, 395 : 200 - 207
  • [23] Green telematics from videotex to Internet based applications
    Waksman, G
    Harkin, M
    COMPUTERS AND ELECTRONICS IN AGRICULTURE, 1999, 22 (2-3) : 131 - 139
  • [24] Deep Learning Model Based CO2 Emissions Prediction Using Vehicle Telematics Sensors Data
    Singh, Mukul
    Dubey, Rahul Kumar
    IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2023, 8 (01): : 768 - 777
  • [25] The Technology of Management of Data About Wireless Networks for Vehicle's Telematics Map
    Chuvatov, Mikhail
    Glazunov, Vadim
    Kurochkin, Leonid
    Popov, Serge
    VEHITS: PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON VEHICLE TECHNOLOGY AND INTELLIGENT TRANSPORT SYSTEMS, 2016, : 138 - 143
  • [26] Web access, vehicle-generated data, DIVA to highlight telematics expansion
    Frank, Michael
    Automotive Industries AI, 2007, 187 (05):
  • [27] Secure Vehicle Location-Sharing for Trajectory-Based Message Delivery on VANETs
    Park, Youngho
    Sur, Chul
    Noh, Si-Wan
    Rhee, Kyung-Hyune
    2017 IEEE 26TH INTERNATIONAL SYMPOSIUM ON INDUSTRIAL ELECTRONICS (ISIE), 2017, : 1451 - 1456
  • [28] Vehicle Telematics System Design for Real-time Applications using Mobile Networks
    Waisara, Sitinut
    Charoenlarpnopparut, Srijidtra
    Srisurangkul, Chadchai
    Nishio, Takayuki
    2023 18TH INTERNATIONAL JOINT SYMPOSIUM ON ARTIFICIAL INTELLIGENCE AND NATURAL LANGUAGE PROCESSING, ISAI-NLP, 2023,
  • [29] TIME AND FREQUENCY APPLICATIONS TO AUTOMATIC VEHICLE LOCATION
    ROTH, SH
    PROCEEDINGS OF THE INSTITUTE OF ELECTRICAL AND ELECTRONICS ENGINEERS, 1972, 60 (05): : 637 - &
  • [30] Internet-based Human-Vehicle Interface for Ubiquitous Telematics
    Hong, Won-Kee
    Kim, Tae-Hwan
    Kim, Cheong-Gil
    2013 INTERNATIONAL CONFERENCE ON INFORMATION SCIENCE AND APPLICATIONS (ICISA 2013), 2013,