Al-Absi Ahmed Abdulhakim, Al-Absi Mohammed Abdulhakim, Sain Mangal, Lee Hoon Jae
Department of Smart Computing, Kyungdong University, 46 4-gil, Bongpo, Gosung, Gangwon-do 24764, Korea.
Department of Ubiquitous IT, Graduate School, Dongseo University, 47 Jurye-ro, Sasang-gu, Busan 47011, Korea.
Sensors (Basel). 2021 May 24;21(11):3646. doi: 10.3390/s21113646.
Based on the existing Internet of Vehicles communication protocol and multi-channel allocation strategy, this paper studies the key issues with vehicle communication. First, the traffic volume is relatively large which depends on the environment (city, highway, and rural). When many vehicles need to communicate, the communication is prone to collision. Secondly, because the traditional multi-channel allocation method divides the time into control time slots and transmission time slots when there are few vehicles, it will cause waste of channels, also when there are more vehicles, the channels will not be enough for more vehicles. However, to maximize the system throughput, the existing model Enhanced Non-Cooperative Cognitive division Multiple Access (ENCCMA) performs amazingly well by connected the Cognitive Radio with Frequency Division Multiple Access (FDMA) and Time Division Multiple Access (TDMA) for a multi-channel vehicular network.However, this model induces Medium Access Control (MAC) overhead and does not consider the performance evaluation in various environmental conditions.Therefore, this paper proposes a Distributed Medium Channel Allocation (DMCA) strategy, by dividing the control time slot into an appointmentand a safety period in the shared channel network. SIMITS simulator was used for experiment evaluation in terms of throughput, collision, and successful packet transmission. However, the outcome shows that our method significantly improved the channel utilizationand reduced the occurrence of communication overhead.
基于现有的车联网通信协议和多信道分配策略，本文研究了车辆通信的关键问题。首先，交通流量相对较大，这取决于环境（城市、高速公路和农村）。当许多车辆需要通信时，通信容易发生冲突。其次，由于传统的多信道分配方法在车辆较少时将时间划分为控制时隙和传输时隙，这会导致信道浪费，而且当车辆较多时，信道又不足以供更多车辆使用。然而，为了最大化系统吞吐量，现有模型增强型非合作认知划分多址接入（ENCCMA）通过将认知无线电与频分多址接入（FDMA）和时分多址接入（TDMA）相结合用于多信道车载网络，表现出惊人的性能。然而，该模型会引入介质访问控制（MAC）开销，并且没有考虑各种环境条件下的性能评估。因此，本文提出了一种分布式介质信道分配（DMCA）策略，通过在共享信道网络中将控制时隙划分为预约期和安全期。使用SIMITS模拟器对吞吐量、冲突和成功数据包传输进行实验评估。然而，结果表明我们的方法显著提高了信道利用率并减少了通信开销的发生。
