摘要
针对基于802.11p的车载自组织网络(VANET,Vehicular Ad hoc Network)的吞吐量最优化问题,采用启发式搜索优化的思想,在数据传输方面提出了改进的搜索者优化算法(ISOA,Improved Seeker Optimization Algorithm)。该算法通过对节点发送概率的最优化实现节点平均吞吐量的最大化;通过对吞吐量变化的检测调整发送概率,实现对通信环境变化的自适应性;通过对在VANET场景下传统SOA的改进,提高了搜索全局最优解的成功率。仿真结果表明,ISOA较传统算法在环境变化自适应性方面更好,在收敛速度及准确度等方面性能也更优。
Aiming at the throughput optimization of VANET( Vehicular Ad hoc Network)based on 802.11 p,the idea of heuristic-searching optimization is adopted and ISOA( Improved Seeker Optimization Algorithm)proposed in data transmission.By optimizing the transmission probability,this algorithm maximizes the average throughput of each node,and data transmission probability is adjusted automatically by detecting the variation of throughput,thus to achieve self-adaption in accordance with the change of communication environment.Traditional SOA in VANET scene is modified so as to improve the success rate for searching the global optimal solution.Simulation results show that ISOA is more adaptable to the change of communication environment than traditional algorithm and enjoys superiority in the aspect of convergence rate and accuracy.
出处
《通信技术》
2015年第3期289-294,共6页
Communications Technology