无线多媒体传感器网络能量均衡的QoS路由算法  

Energy-balanced QoS routing algorithms for WMSNs

作　　者：杨冰[1,2] 邓曙光[2] 文双春[1] 

机构地区：[1]湖南大学信息科学与工程学院,湖南长沙410082 [2]湖南城市学院通信与电子工程学院,湖南益阳413000

出　　处：《传感器与微系统》2014年第4期122-124,127,共4页Transducer and Microsystem Technologies

基　　金：湖南省科技计划资助项目(2012FJ3025);湖南省教育厅科研基金资助项目(12C0585)

摘　　要：为保障能量受限的无线多媒体传感器网络(WMSNs)多服务质量(QoS)需求,提出了一种能量均衡的QoS路由(EBQR)算法。该算法通过蚁群优化将网络带宽、时延、丢包率和能量等因素作为目标函数,并根据函数值大小动态调整蚁群信息素的挥发系数和浓度增量,提供网络业务中满足不同QoS需求的最优路径。仿真结果表明:与AntWMSNs算法和ASAR算法相比,EBQR算法平均端到端时延降低了16%,丢包率减少22%,生命周期延长了近50%,有效实现了网络中节点能耗的均衡性。To guarantee demand of energy-constrained wireless multimedia sensor networks（WMSNs） multi-QoS,a kind of energy-balanced QoS routing （EBQR） algorithm is proposed.The algorithm through ant colony optimization to make the network bandwidth,time delay,packet loss rate and energy as objective function,and according to function value size dynamically adjust volatility coefficient and density increments of ant colony information element,provide the optimal path to meet different QoS needs in network businesses.Simulation results show that,compare with the AntWMSNs algorithm and the ASAR algorithm,average end-to-end time delay of EBQR algorithm is reduced 16 ％,the packet loss rate is reduced 22 ％,the life cycle lengthened nearly 50 ％,effectively realize equilibrium of node energy consumption in the network.

关 键 词：无线多媒体传感器网络 能量均衡 服务质量路由 蚁群算法 

分 类 号：TP212[自动化与计算机技术—检测技术与自动化装置]