摘要
为了建立保障智能配电网(SDN)通信服务质量(QoS)需求的路由机制,提出一种配电网中基于量子蚁群优化的无线传感器网络(WSNs)改进路由算法(SDN-QACO)。首先建立优化SDN数据传输模型;然后分析配电网不同通信业务的QoS需求;在路由阶段引入QACO算法,在期望启发式中引入邻节点距离、剩余能量因素,在信息素启发式中综合考虑时延与丢包率来更新信息素浓度,利用其全局寻优和快速收敛的优点,搜寻到数据传输的最短路径,以优先保证算法的实用性。通过与传统ACO算法和一种保障QoS的面向配电通信网的WMSNs多路径路由(MRFD)算法进行仿真实验比较,该算法能更好地平衡网络能耗,降低数据丢包率与延迟,从而有效保障了智能配电终端通信业务的QoS。
In order to establish a routing mechanism that guarantees the quality of service(QoS) requirements of smart distribution network(SDN)communications, proposing an improved wireless sensor networks(WSNs) routing algorithm based on quantum ant colony optimization in smart distribution network(SDN-QACO).Firstly, establishing the WSNs data transmission model of the smart distribution network.Then, analyzing the QoS requirements of different communication services in the distribution network.In the routing phase, quantum ant colony algorithm is used to introduce the distance between neighboring nodes and residual energy in the expected heuristic, and the pheromone concentration is updated by comprehensively considering the delay and packet loss rate in the pheromone heuristic.Taking advantage of its global optimization and fast convergence to find the shortest path for data transmission to ensure practicality.Compared with simulation experiments of traditional ant colony algorithm and QoS assured multipath routing for distribution communication network(MRFD) algorithm, the new algorithm can better balance the network energy consumption, reduce the data packet loss rate and delay, thereby effectively guaranteeing the QoS of smart distribution terminal communication services.
作者
杨佳
伍应旭
许强
YANG Jia;WU Yingxu;XU Qiang(School of Electrical and Electronic Engineering,Chongqing University of Technology,Chongqing 400054,China;School of Computer Science and Information Engineering,Chongqing Technology and Business University,Chongqing 400067,China)
出处
《传感器与微系统》
CSCD
北大核心
2022年第2期132-135,139,共5页
Transducer and Microsystem Technologies
基金
重庆市科委自然科学基金资助项目(CSTC2012JJA40061)
重庆市教委科学技术研究计划资助项目(KJ130834)
重庆市教委科学技术研究计划资助项目(KJ1500619)
重庆理工大学研究生创新项目(YCX20192055)。
关键词
无线传感器网络
智能配电网
量子蚁群优化
路由算法
服务质量
wireless sensor networks(WSNs)
smart distribution network(SDN)
quantum ant colony optimization(QACO)
routing algorithm
quality of service(QoS)
