Open AccessFuzzy logic controller based priority model for VANET scheduling
Author(s) -
K. V. Anusuya,
M. Sakthi Priya
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1706/1/012054
Subject(s) - computer science , network packet , computer network , fuzzy logic , packet loss , latency (audio) , vehicular ad hoc network , scheduling (production processes) , reliability (semiconductor) , cognitive radio , real time computing , wireless , wireless ad hoc network , engineering , telecommunications , power (physics) , operations management , physics , quantum mechanics , artificial intelligence
Designing a reliable Vehicular Adhoc Network is challenging, due to the critical constraints in providing reliability with ensured data delivery and minimal latency simultaneously. Here, a fuzzy-based congestion control technique, to minimize latency and packet loss for high priority safety messages is proposed. Fuzzy logic is employed to provide multi-level priority assignment to the vehicles contending for channel access. Based on this priority, the queued messages in the Cluster Head are scheduled. NS-2 simulations prove that this technique improves the packet delivery and minimizes packet loss and channel access delay compared to cognitive radio based implementations at largely densed vehicular network.