Study on Self-Adaptive Message Scheduler Used for the Vehicle Ad-hoc Network.
Saved in:
| Title: | Study on Self-Adaptive Message Scheduler Used for the Vehicle Ad-hoc Network. |
|---|---|
| Authors: | MINGJIAN LIU1 liumingjian@mail.dlut.edu.cn, GUOZHEN TAN1 gztan@dlut.edu.cn, NAN DING1 dingnan@dlut.edu.cn, FUXIN ZANG1 zhangsw8881@mail.dult.edu.cn |
| Source: | Journal of Information Science & Engineering. Sep2017, Vol. 33 Issue 5, p1285-1305. 21p. |
| Subjects: | Adaptive control systems, Message processing (Telecommunication), Vehicular ad hoc networks, Reaction time, Queuing theory |
| Abstract: | To satisfy the strict demands of VANET (vehicular ad-hoc network) on communication rate, response speed as well as on reliability, a communication sublayer that provides reliable, real-time and qualified communication services for upper applications is constructed in VANET. By using the queuing theory and based on researching the message queues in VANET, the current study designed a scheme for optimizing the communication sublayer, and proposed mechanisms for message compression, sending-frequency self-adaption as well as for data transmission compression, which make up an easy-to-bedeployed framework that provides safe, real-time and standard self-adaptive communication services for upper applications and which solve the problem that previous VANET communication is not reliable and real-time. Through simulation and real vehicle experiments, we verify that the design can well satisfy the communication requirements of VANET in terms of performance and functionality, bandwidth occupancy decrease by 47.8 % and 11.4% relatively compared with CMS (common message set) and unoptimized MD (message dispatcher) decreased, compared with CMS and unoptimized MD, the transmission frequency can decrease by 60% and 6.1%, and data compression ratio is 12.3%, thus proving the effectiveness of our scheme. [ABSTRACT FROM AUTHOR] |
| Copyright of Journal of Information Science & Engineering is the property of Institute of Information Science, Academia Sinica and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
Be the first to leave a comment!
