作者: Cheng Wang , Luomeng Zhang , Zhong Li , Changjun Jiang
DOI: 10.1109/JIOT.2018.2812210
关键词:
摘要: The Internet of Vehicles (IoV) is a subapplication the Things in automotive field. Large amounts sensor data require to be transferred real-time. Most routing protocols are specifically targeted specific situations IoV. But communication environment IoV usually changes space-time dimension. Unfortunately, traditional vehicular networks cannot select optimal policy when facing dynamic environment, due lack abilities sensing and learning best strategy. Sensing constitute two key steps cognition procedure. Thus, this paper, we present software defined cognitive network for (SDCIV), which reinforcement technology considered achieve capability. To our knowledge, paper first one that can give adaptively through from We perform experiments on real dataset validate effectiveness feasibility proposed algorithm. Results show algorithm achieves better performance than several typical also SDCIV.