Scheduling algorithm based on preemptive priority and hybrid data structure for cognitive radio technology with vehicular ad hoc network

被引:5
作者
Pal, Raghavendra [1 ]
Prakash, Arun [1 ]
Tripathi, Rajeev [1 ]
Naik, Kshirasagar [2 ]
机构
[1] Motilal Nehru Natl Inst Technol Allahabad, Dept Elect & Commun Engn, Prayagraj 211004, UP, India
[2] Univ Waterloo, Elect & Comp Engn, Waterloo, ON, Canada
关键词
queueing theory; computational complexity; wireless channels; cognitive radio; telecommunication network reliability; scheduling; protocols; scheduling algorithm; hybrid data structure; cognitive radio technology; ad hoc network; queue rescheduling; arrived messages; queuing delay; quality of service; time-bound safety messages; nonsafety messages; time-bound messages; short-range communication spectrum; spectrum sensing; packet delivery ratio; cognitive radio-enabled preemptive priority; existing cognitive radio protocol; cognitive radio-enabled nonpreemptive priority; data storage; storing sensing data; time; 10; 0; d; VEHICLE; INFRASTRUCTURE; DISSEMINATION;
D O I
10.1049/iet-com.2019.0574
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
There are different types of messages containing different priorities in vehicular ad hoc networks. Hence, queue rescheduling is required according to priorities of arrived messages. In this study, a data structure with less computational complexity is proposed to minimise queuing delay. Further, to maintain quality of service, preemptive priority is applied to time-bound safety messages by transferring non-safety messages to other bands using the concept of cognitive radio technology. The time-bound messages are transmitted using the dedicated short-range communication spectrum without the need for spectrum sensing by vehicles. The other messages with no deadline constraint are switched to other bands near-dedicated short-range communication spectrum. The results show that 6.25% improvement in packet delivery ratio of cognitive radio-enabled preemptive priority is achieved in comparison to existing cognitive radio protocol. The delay shows a slight increment of 1.1%. The packet delivery ratio of cognitive radio-enabled non-preemptive priority is improved by 3.24% while the delay is improved by 3.17%. The data storage required for storing sensing data of 50 channels for 10 days is only 45 Mb.
引用
收藏
页码:3443 / 3451
页数:9
相关论文
共 28 条
  • [1] CONTROL-BASED SCHEDULING WITH QoS SUPPORT FOR VEHICLE TO INFRASTRUCTURE COMMUNICATIONS
    Alcaraz, Juan J.
    Vales-Alonso, Javier
    Garcia-Haro, Joan
    [J]. IEEE WIRELESS COMMUNICATIONS, 2009, 16 (06) : 32 - 39
  • [2] Ali GGMN, 2011, LECT NOTES COMPUT SC, V6637, P453
  • [3] [Anonymous], 2002, Proc. 4th Middle East. Model. Simulat. MultiConf. (MESM)
  • [4] [Anonymous], 2001, CHAPTER 4 AD HOC NET
  • [5] [Anonymous], 2009, NETWORK SIMULATOR 2
  • [6] [Anonymous], 5 ACM INT C SIM TOOL
  • [7] Bertsekas D., 2015, DATA NETWORKS
  • [8] Energy-efficient broadcast in multihop cognitive radio networks
    Chao, Chih-Min
    Huang, Ding-Jyi
    Peng, Yu-Ru
    [J]. COMPUTER COMMUNICATIONS, 2015, 72 : 130 - 140
  • [9] INTELLIGENT TRANSPORTATION SYSTEMS
    Dimitrakopoulos, George
    Demestichas, Panagiotis
    [J]. IEEE VEHICULAR TECHNOLOGY MAGAZINE, 2010, 5 (01): : 77 - 84
  • [10] A Distributed Message Delivery Infrastructure for Connected Vehicle Technology Applications
    Du, Yuheng
    Chowdhury, Mashrur
    Rahman, Mizanur
    Dey, Kakan
    Apon, Amy
    Luckow, Andre
    Ngo, Linh Bao
    [J]. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2018, 19 (03) : 787 - 801