Adaptive Beaconing System based on Fuzzy Logic Approach for Vehicular Network

被引:0
作者
Hassan, Aslinda [1 ]
Ahmed, Mohamed H. [2 ]
Rahman, M. A. [2 ]
机构
[1] Univ Teknikal Malaysia Melaka, Durian Tunggal, Melaka, Malaysia
[2] Mem Univ Newfoundland, St John, NF A1C 5S7, Canada
来源
2013 IEEE 24TH INTERNATIONAL SYMPOSIUM ON PERSONAL, INDOOR, AND MOBILE RADIO COMMUNICATIONS (PIMRC) | 2013年
关键词
VANET; adaptive beaconing; fuzzy logic; carry and forward; routing;
D O I
暂无
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
It is common for vehicles in a vehicular ad hoc network (VANET) to exchange information by broadcasting beacon messages periodically. This information is required not only for routing protocols when making routing decisions, but also for safety applications. Choosing a suitable interval for broadcasting beacon messages has been considered a communication challenge since there will be a trade-off between information accuracy and channel usage. Therefore, adaptive beaconing approach is needed so that vehicles can regulate their beacon rate based on traffic condition. In this paper, we propose a fuzzy logic based beaconing system where beacon intervals are adjusted based on packet carried time, number of single-hop neighbors, and vehicles speed. Through comparison with fixed interval rate, we are able to show that the fuzzy logic based beaconing system is not only able to reduce routing overhead and packet collision, but also decrease average end-to-end delay and increase delivery rate as well.
引用
收藏
页码:2581 / 2585
页数:5
相关论文
共 50 条
  • [21] A fuzzy logic based clustering strategy for improving vehicular ad-hoc network performance
    Calhan, Ali
    SADHANA-ACADEMY PROCEEDINGS IN ENGINEERING SCIENCES, 2015, 40 (02): : 351 - 367
  • [22] Adaptive HVAC System Based on Fuzzy Controller Approach
    Abuhussain, Mohammed Awad
    Alotaibi, Badr Saad
    Aliero, Muhammad Saidu
    Asif, Muhammad
    Alshenaifi, Mohammad Abdullah
    Dodo, Yakubu Aminu
    APPLIED SCIENCES-BASEL, 2023, 13 (20):
  • [23] Fuzzy Logic Based Localization for Vehicular Ad Hoc Networks
    Altoaimy, Lina
    Mahgoub, Imad
    2014 IEEE SYMPOSIUM ON COMPUTATIONAL INTELLIGENCE IN VEHICLES AND TRANSPORTATION SYSTEMS (CIVTS), 2014, : 121 - 128
  • [24] BRAIN-F: Beacon Rate Adaption Based on Fuzzy Logic in Vehicular Ad Hoc Network
    Soleymani, Seyed Ahmad
    Abdullah, Abdul Hanan
    Anisi, Mohammad Hossein
    Altameem, Ayman
    Hasan, Wan Haslina
    Goudarzi, Shidrokh
    Mandala, Satria
    Bin Razak, Zaidi
    Noor, Noorzaily Mohamed
    INTERNATIONAL JOURNAL OF FUZZY SYSTEMS, 2017, 19 (02) : 301 - 315
  • [25] BRAIN-F: Beacon Rate Adaption Based on Fuzzy Logic in Vehicular Ad Hoc Network
    Seyed Ahmad Soleymani
    Abdul Hanan Abdullah
    Mohammad Hossein Anisi
    Ayman Altameem
    Wan Haslina Hasan
    Shidrokh Goudarzi
    Satria Mandala
    Zaidi Bin Razak
    Noorzaily Mohamed Noor
    International Journal of Fuzzy Systems, 2017, 19 : 301 - 315
  • [26] A Novel Fuzzy Logic-Based Scheme for Malicious Node Eviction in a Vehicular Ad Hoc Network
    Igried, Bashar
    Alsarhan, Ayoub
    Al-Khawaldeh, Igried
    AL-Qerem, Ahmad
    Aldweesh, Amjad
    ELECTRONICS, 2022, 11 (17)
  • [27] An adaptive fuzzy logic system for automated negotiations
    Kolomvatsos, Kostas
    Trivizakis, Dimitrios
    Hadjiefthymiades, Stathes
    FUZZY SETS AND SYSTEMS, 2015, 269 : 135 - 152
  • [28] A Fuzzy Logic-Based Communication Medium Selection for QoS Preservation in Vehicular Networks
    Bouali, Tarek
    Senouci, Sidi-Mohammed
    2016 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC), 2016,
  • [29] Fuzzy Logic Decision Making by Localization and Recursive Algorithm in Vehicular AdHoc Network
    Govindan, Ravi
    Sundararajan, Satish
    Baskaran, Gopinath
    JOURNAL OF SCIENTIFIC & INDUSTRIAL RESEARCH, 2020, 79 (04): : 315 - 317
  • [30] PV Fouling Detecting System Based on Neural Network and Fuzzy Logic
    Chen, Xuejuan
    Wu, Chunhua
    Li, Hongfa
    Feng, Xiayun
    Li, Zhihua
    INTELLIGENT COMPUTING IN SMART GRID AND ELECTRICAL VEHICLES, 2014, 463 : 368 - 377