EBBA-OLSR:一种基于能量均衡的自适应FANET路由算法

EBBA-OLSR:An Adaptive FANET Routing Algorithm Based on Energy Balance

OLSR作为MANET主动路由协议的一种,适合大型的密集的网络,但直接应用MANET中的OLSR协议于FANET中则会导致网络开销大,网络性能降低等问题。为了解决该问题,本文基于能量均衡的思想,结合人工蜂群算法中的自组织性和鲁棒性提出了一种自适应的OLSR路由算法,该算法考虑距离、能量及拥塞程度3个参数优化了传统OLSR仅考虑跳数这一度量所带来的不足。实验结果表明,经优化后,该算法在平均端到端时延、数据包投递率及路由开销方面具有更好的表现。

As one of MANET active routing protocols,OLSR is suitable for large and dense networks.However,direct application of OLSR protocol in MANET into FANET will lead to high network overhead and low network performance.In order to solve this problem,this paper proposes an adaptive OLSR routing algorithm based on the idea of energy balance,combined with the self-organization and robustness of the artificial bee colony algorithm.The algorithm considers three parameters of distance,energy and congestion degree to optimize the disadvantages of traditional OLSR,which only considers the number of hops.Experimental results show that the optimized algorithm has better performance in terms of average end-to-end delay,packet delivery rate and routing overhead.