摘要
针对雷达网中存在的多链路负载不均衡问题,提出了一种链路间的差异互补算法,对多链路负载均衡算法CIAP进行迭代优化改进。CIAP算法根据各链路的传输时延和剩余带宽,采用误差纠正学习方法实现整体网络性能优化。改进的CIAP算法减少了运算迭代次数,优化了算法效率。仿真结果表明,改进的CIAP算法有效均衡了各链路负载的时延和剩余带宽,提高了网络的吞吐率和公平性。
Aiming at the problem of multilink load unbalancing existing in radar networking, the complementary algorithm based on differences among links is proposed, the CIAP algorithm is improved in iteration optimization. The CIAP algorithm implements performance optimization of overall network in accordance with the transmission time delay and residual bandwidth of each link and by adopting error correction learning method; while the improved CIAP algorithm reduces the number of iteration and optimizes the efficiency of algorithm. The result of simulation shows that the improved CIAP algorithm effectively balances the time delay and residual bandwidth of each link, and enhances the throughput and fairness of the network.
出处
《自动化仪表》
CAS
北大核心
2012年第11期9-11,共3页
Process Automation Instrumentation
基金
武器装备预研基金资助项目(编号:62301020XXX)
关键词
传感器
雷达组网
时延
无线通信
吞吐率
Sensor Radar networking Time delay Wireless communication Throughput
