针对Quasi-UDG模型下无线传感器网络随机部署的拓扑特征,提出了一种非测距基于权重的定位算法EWLS(Enhanced Weighted Least Square).首先,设计出一种节点跳数和距离关系估计的方法,然后依据跳数值与距离关系的概率表达式,给出EWLS定位...针对Quasi-UDG模型下无线传感器网络随机部署的拓扑特征,提出了一种非测距基于权重的定位算法EWLS(Enhanced Weighted Least Square).首先,设计出一种节点跳数和距离关系估计的方法,然后依据跳数值与距离关系的概率表达式,给出EWLS定位算法中节点测量距离信息的权重.仿真实验表明,在不同的锚节点密度、Quasi-UDG模型因子和平均邻居节点数的参数下,EWLS算法定位误差较小,同最小均方误差相比,有效地提高了节点定位的精度.展开更多
一、什么是BIM?1999年,美国科幻电影《黑客帝国》横空出世,其异常前卫的世界观设定,即使放到今天来看也未过时,随着人类科技水平的日新月异,虚拟现实[1]逐渐呈现于人们的视野之中。作为建筑行业的虚拟现实技术,BIM的概念首先于1975年,...一、什么是BIM?1999年,美国科幻电影《黑客帝国》横空出世,其异常前卫的世界观设定,即使放到今天来看也未过时,随着人类科技水平的日新月异,虚拟现实[1]逐渐呈现于人们的视野之中。作为建筑行业的虚拟现实技术,BIM的概念首先于1975年,由美国乔治亚理工大学Charles Eastman教授提出,其全称为"Building Information Modeling",在中国被称为"建筑信息模型"。简单来说,BIM是指某将建工程在现场动工以前,与该工程相关的所有人员,包括业主。展开更多
The sustainability of the Internet of Things(IoT)involves various issues,such as poor connectivity,scalability problems,interoperability issues,and energy inefficiency.Although the Sixth Generation of mobile networks(...The sustainability of the Internet of Things(IoT)involves various issues,such as poor connectivity,scalability problems,interoperability issues,and energy inefficiency.Although the Sixth Generation of mobile networks(6G)allows for Ultra-Reliable Low-Latency Communication(URLLC),enhanced Mobile Broadband(eMBB),and massive Machine-Type Communications(mMTC)services,it faces deployment challenges such as the short range of sub-THz and THz frequency bands,low capability to penetrate obstacles,and very high path loss.This paper presents a network architecture to enhance the connectivity of wireless IoT mesh networks that employ both 6G and Wi-Fi technologies.In this architecture,local communications are carried through the mesh network,which uses a virtual backbone to relay packets to local nodes,while remote communications are carried through the 6G network.The virtual backbone is created using a heuristic distributed ConnectedDominating Set(CDS)algorithm.In this algorithm,each node uses information collected from its one-and two-hop neighbors to determine its role and find the set of expansion nodes that are used to select the next CDS nodes.The proposed algorithm has O(n)message and O(K)time complexities,where n is the number of nodes in the network,and K is the depth of the cluster.The study proved that the approximation ratio of the algorithmhas an upper bound of 2.06748(3.4306MCDS+4.8185).Performance evaluations compared the size of the CDS against the theoretical limit and recent CDS clustering algorithms.Results indicate that the proposed algorithm has the smallest average slope for the size of the CDS as the number of nodes increases.展开更多
提出了一种适用于无线Ad Hoc网络的路由算法GLFCFR(G reedy and Local F in ite C lose FaceRouting),该算法以RNG(Relative Ne ighborhood G raph)图作为无线网络的拓扑结构,利用节点中存储的邻节点位置信息和网络局部有限闭平面上的...提出了一种适用于无线Ad Hoc网络的路由算法GLFCFR(G reedy and Local F in ite C lose FaceRouting),该算法以RNG(Relative Ne ighborhood G raph)图作为无线网络的拓扑结构,利用节点中存储的邻节点位置信息和网络局部有限闭平面上的节点位置信息实现了数据分组的转发.随着网络中节点数的增加以及节点移动性的增强,该路由算法具有良好的可扩展性和适应性,通过仿真可看出GLFCFR算法在路由分组开销和数据分组的成功传输率方面具有良好的性能.展开更多
文摘针对Quasi-UDG模型下无线传感器网络随机部署的拓扑特征,提出了一种非测距基于权重的定位算法EWLS(Enhanced Weighted Least Square).首先,设计出一种节点跳数和距离关系估计的方法,然后依据跳数值与距离关系的概率表达式,给出EWLS定位算法中节点测量距离信息的权重.仿真实验表明,在不同的锚节点密度、Quasi-UDG模型因子和平均邻居节点数的参数下,EWLS算法定位误差较小,同最小均方误差相比,有效地提高了节点定位的精度.
文摘一、什么是BIM?1999年,美国科幻电影《黑客帝国》横空出世,其异常前卫的世界观设定,即使放到今天来看也未过时,随着人类科技水平的日新月异,虚拟现实[1]逐渐呈现于人们的视野之中。作为建筑行业的虚拟现实技术,BIM的概念首先于1975年,由美国乔治亚理工大学Charles Eastman教授提出,其全称为"Building Information Modeling",在中国被称为"建筑信息模型"。简单来说,BIM是指某将建工程在现场动工以前,与该工程相关的所有人员,包括业主。
基金Deputyship for Research&Innovation,Ministry of Education in Saudi Arabia for funding this research work through the project number RI-44-0028.
文摘The sustainability of the Internet of Things(IoT)involves various issues,such as poor connectivity,scalability problems,interoperability issues,and energy inefficiency.Although the Sixth Generation of mobile networks(6G)allows for Ultra-Reliable Low-Latency Communication(URLLC),enhanced Mobile Broadband(eMBB),and massive Machine-Type Communications(mMTC)services,it faces deployment challenges such as the short range of sub-THz and THz frequency bands,low capability to penetrate obstacles,and very high path loss.This paper presents a network architecture to enhance the connectivity of wireless IoT mesh networks that employ both 6G and Wi-Fi technologies.In this architecture,local communications are carried through the mesh network,which uses a virtual backbone to relay packets to local nodes,while remote communications are carried through the 6G network.The virtual backbone is created using a heuristic distributed ConnectedDominating Set(CDS)algorithm.In this algorithm,each node uses information collected from its one-and two-hop neighbors to determine its role and find the set of expansion nodes that are used to select the next CDS nodes.The proposed algorithm has O(n)message and O(K)time complexities,where n is the number of nodes in the network,and K is the depth of the cluster.The study proved that the approximation ratio of the algorithmhas an upper bound of 2.06748(3.4306MCDS+4.8185).Performance evaluations compared the size of the CDS against the theoretical limit and recent CDS clustering algorithms.Results indicate that the proposed algorithm has the smallest average slope for the size of the CDS as the number of nodes increases.
文摘提出了一种适用于无线Ad Hoc网络的路由算法GLFCFR(G reedy and Local F in ite C lose FaceRouting),该算法以RNG(Relative Ne ighborhood G raph)图作为无线网络的拓扑结构,利用节点中存储的邻节点位置信息和网络局部有限闭平面上的节点位置信息实现了数据分组的转发.随着网络中节点数的增加以及节点移动性的增强,该路由算法具有良好的可扩展性和适应性,通过仿真可看出GLFCFR算法在路由分组开销和数据分组的成功传输率方面具有良好的性能.
