摘要
针对三维稀疏无线执行器网络下的数据下传问题,提出一种三维稀疏无线执行器网络的数据下传路由算法。该算法计算位置偏差角,建立数据下传路由候选节点集,对周围节点进行初步筛选。根据候选集合中候选邻居节点的速度偏差角、邻居节点的速度、剩余能量、剩余存储容量和是否被标记,计算Sink节点和候选邻居节点的传输权值,并选择转发节点。同时当数据下传路由候选节点数量过小时,提出最大位置偏差角修正方法,提高候选节点的选择范围,最终选择合适的候选节点完成数据传输。仿真结果表明:对比ADOV算法、AODV-M算法、RASeR算法和MOEAs算法,DDRA_3D算法能有效提高数据下传成功率、减少数据传输时延和数据传输能耗。
Aiming at the problem of data downward transmission in 3D sparse wireless actuator network,a 3D sparse wireless actuator network routing algorithm is proposed.The algorithm calculates the position deviation angle,establishes the data download routing candidate node set,and preliminarily filters the surrounding nodes.Then,according to the velocity deviation angle of the candidate neighbor node,the speed of the neighbor node,the residual energy,the residual storage capacity and whether the candidate neighbor node is marked,the transmission weights of the Sink node and the candidate neighbor node are calculated,and the forwarding node is selected.At the same time,when the set of candidate nodes for data download routing is too small,a maximum position deviation angle correction method is proposed to improve the selection range of candidate nodes.The simulation results show that compared with ADOV algorithm,AODV-M algorithm,RASeR algorithm and MOEAs algorithm,DDRA_3D algorithm can improve data downward transmission success rate,reduce data transmission delay and data transmission energy consumption.
作者
万锦昊
陈友荣
刘半藤
任条娟
苏子漪
王章权
WAN Jinhao;CHEN Yourong;LIU Banteng;REN Tiaojuan;SU Ziyi;WANG Zhangquan(College of Information Science and Technology,Zhejiang Shuren University,Hangzhou 310015,China)
出处
《传感技术学报》
CAS
CSCD
北大核心
2020年第4期592-600,共9页
Chinese Journal of Sensors and Actuators
基金
浙江省公益技术应用研究项目(LGF19F010005,LGG19F010011)
浙江省自然科学基金项目(LQ18F030005)
浙江树人大学校项目(2019A11002)。
关键词
稀疏无线执行器网络
数据下传
路由算法
传输效率
sparse wireless actuator network
data downward
routing algorithm
transmission efficiency