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改进的遗传算法无线视频传感器网络协作路由技术研究
引用本文:马荣飞.改进的遗传算法无线视频传感器网络协作路由技术研究[J].计算机工程与设计,2012,33(6):2156-2159.
作者姓名:马荣飞
作者单位:浙江经济职业学院 数字信息学院,浙江杭州,310018
摘    要:提出了适用于无线视频传感器网络的基于能量感知的跨层交互多路径协作路由技术.该技术首先采用了基于视频传感器节点感知距离的遗传优化算法,预测传输视频数据的能耗和剩余能量,结合无线信道质量和视频编码算法建立一种跨层协同的工作体系,优化节点传输视频数据的能耗、时延和带宽等因素;然后建立应用层、网络层和物理层跨层协同工作体系.仿真实验和数学分析表明,该技术不仅能够较好地满足视频传感器网络应用业务的多样性QoS数据传输性能需求,而且可以充分利用视频传感器网络受限的计算、存储能力和能量等资源.

关 键 词:无线视频传感器网络  遗传算法  协作通信  跨层设计

Research on mobile communication multimedia sensor distributed cross-layer interaction technology
MA Rong-fei.Research on mobile communication multimedia sensor distributed cross-layer interaction technology[J].Computer Engineering and Design,2012,33(6):2156-2159.
Authors:MA Rong-fei
Affiliation:MA Rong-fei(Institute of Digital Information,Zhejiang Technical Institute of Economics,Hangzhou 310018,China)
Abstract:A energy aware cross-layer interaction multi path cooperative routing technology for wireless video sensor network.The technique first uses a genetic optimization algorithm based on video sensor node of the perceived distance,predicts video data of transmission energy consumption and the residual energy,combines with wireless channel quality and video coding algorithm to establish a cross-layer cooperation work system,optimizes the node video data transmission delay and bandwidth consumption,and other factors,and then build the application layer,network layer and physical layer cross layer cooperative work system.Simulation experiment and mathematical analysis shows that,the technology can not only satisfy the video sensor network application business diversity QoS video data transmission performance require.
Keywords:wireless video sensor network  genetic algorithm  cooperative commnication  cross layer design
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