云计算下传感网络固定节点分类路由算法仿真
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摘要
对云计算下传感器固定节点进行分类路由能够有效提高节点数据传输的速率,保证数据传输的质量。针对当前传感网络固定节点分类路由算法应用过程中,存在的执行时间长,节点能耗多且不均衡问题,提出一种基于链路能耗模型的云计算下传感网络固定节点分类路由算法,通过优化SAW算法计算传感网络固定节点可用能量比和活跃度,构建云计算下传感网络固定节点能力模型,通过链路能耗模型,根据节点能力,确定节点通信能耗,选取能耗最少的路径,实现云计算下传感网络固定节点分类路由。实验结果表明,所提算法能够有效提高节点分类路由的速度,降低节点能耗,实现节点能耗均衡。
At present,the algorithm of fixed node classification routing for sensor network has long execution time and unbalanced energy consumption of node in the application process. In this paper,we propose an algorithm of fixed node classification routing for sensor network based on link energy consumption model. Firstly,we calculated the available energy ratio and activity of fixed node in sensor network by optimizing SAW algorithm and built the capability model of fixed node in sensor network under cloud computing. Then,we determined the energy consumption of node communication based on node capacity and link energy consumption model. Finally,we selected the path with the minimum energy consumption to realize the classification routing of fixed node in sensor network under cloud computing. Simulation results demonstrate that the proposed algorithm can effectively improve the speed of node classification routing and reduce node energy consumption to achieve the balance of node energy consumption.
At present,the algorithm of fixed node classification routing for sensor network has long execution time and unbalanced energy consumption of node in the application process. In this paper,we propose an algorithm of fixed node classification routing for sensor network based on link energy consumption model. Firstly,we calculated the available energy ratio and activity of fixed node in sensor network by optimizing SAW algorithm and built the capability model of fixed node in sensor network under cloud computing. Then,we determined the energy consumption of node communication based on node capacity and link energy consumption model. Finally,we selected the path with the minimum energy consumption to realize the classification routing of fixed node in sensor network under cloud computing. Simulation results demonstrate that the proposed algorithm can effectively improve the speed of node classification routing and reduce node energy consumption to achieve the balance of node energy consumption.
引文
[1]焦慧平,孔国利.一种降低节点能量开销的ZigBee路由算法优化[J].现代电子技术,2016,39(8):68-71.
[2]郑莹,裴芳,董龙明.基于节点综合效能的DTN路由算法[J].火力与指挥控制,2017,42(2):119-123.
[3]印敏,等.应急情况下最少转发节点的传感器网络组播路由树算法[J].电子测量与仪器学报,2017,31(1):76-82.
[4]冯建平,李华.随机虚拟骨干树结合改进BDCP的无线传感器网络多级路由算法[J].计算机应用研究,2016,33(8):2454-2457.
[5]朱亚东,高翠芳.基于博弈论能耗均衡的无线传感网络路由算法[J].电子技术应用,2017,43(7):114-116.
[6]杜海韬,等.WSN中基于链路质量和节点能量的AODV路由算法研究[J].传感技术学报,2016,29(7):1042-1048.
[7]金勇,徐仁发,舒红.基于灰色关联的ZigBee网络混合路由算法[J].电视技术,2016,40(11):70-74.
[8]徐新黎,等.基于无线充电的Sink轨迹固定WSN路由算法[J].仪器仪表学报,2016,37(3):570-578.
[9]陶志勇,蒋守凤.基于簇首移动的无线传感器网络路由算法[J].计算机工程与应用,2016,52(5):75-78.
[10]陈瑞志.无线网络非均匀分簇路由算法改进研究与仿真[J].计算机仿真,2017,(4):288-291.
[2]郑莹,裴芳,董龙明.基于节点综合效能的DTN路由算法[J].火力与指挥控制,2017,42(2):119-123.
[3]印敏,等.应急情况下最少转发节点的传感器网络组播路由树算法[J].电子测量与仪器学报,2017,31(1):76-82.
[4]冯建平,李华.随机虚拟骨干树结合改进BDCP的无线传感器网络多级路由算法[J].计算机应用研究,2016,33(8):2454-2457.
[5]朱亚东,高翠芳.基于博弈论能耗均衡的无线传感网络路由算法[J].电子技术应用,2017,43(7):114-116.
[6]杜海韬,等.WSN中基于链路质量和节点能量的AODV路由算法研究[J].传感技术学报,2016,29(7):1042-1048.
[7]金勇,徐仁发,舒红.基于灰色关联的ZigBee网络混合路由算法[J].电视技术,2016,40(11):70-74.
[8]徐新黎,等.基于无线充电的Sink轨迹固定WSN路由算法[J].仪器仪表学报,2016,37(3):570-578.
[9]陶志勇,蒋守凤.基于簇首移动的无线传感器网络路由算法[J].计算机工程与应用,2016,52(5):75-78.
[10]陈瑞志.无线网络非均匀分簇路由算法改进研究与仿真[J].计算机仿真,2017,(4):288-291.