首页> 外文会议>International Symposium on Pervasive Systems, Algorithms and Networks >Multi-scene Adaptive Broadcasting Optimization Algorithm in VANETs
【24h】

Multi-scene Adaptive Broadcasting Optimization Algorithm in VANETs

机译:VANET中的多场景自适应广播优化算法

获取原文

摘要

Important information such as emergency warning need to be broadcasted in VANETs. Therefore, an effective broadcasting method is necessary, but broadcasting optimization based on single network state can't adapt to the complex VANET environment. In this paper, a Multi-scene Adaptive Broadcasting Optimization (MABO) algorithm is proposed, and it adaptively selects more suitable state parameters to optimize broadcasting when the scene has changed. Simulation results show that MABO not only can guarantee node reachability, but also can reduce broadcast redundancy and transmission delay in multi-scene network environment.
机译:需要在Vanets中播放紧急警告等重要信息。因此,需要有效的广播方法,但基于单个网络状态的广播优化不能适应复杂的VANET环境。在本文中,提出了一种多场景自适应广播优化(MABO)算法,并且在场景改变时,自适应地选择更合适的状态参数来优化广播。仿真结果表明,MABO不仅可以保证节点可达性,还可以降低多场景网络环境中的广播冗余和传输延迟。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号