本文在Ad hoc网络中提出了一种基于区块链技术的多路径QoS(quantity of service)路由算法(BMQR)。该算法依据网络内节点的移动性、连通性和通信距离组建类似区块群,在群内通过QoS约束寻找由主节点和备选节点组成的多路径路由。通过实验...本文在Ad hoc网络中提出了一种基于区块链技术的多路径QoS(quantity of service)路由算法(BMQR)。该算法依据网络内节点的移动性、连通性和通信距离组建类似区块群,在群内通过QoS约束寻找由主节点和备选节点组成的多路径路由。通过实验仿真,BMQR算法较传统的AODV(Ad hoc on-demand distance vector routing)算法在路由的稳定性和投包率方面展示出了巨大的优越性。展开更多
The foundation of ad hoc networks lies in the guarantee of continuous connectivity.However,critical nodes,whose failure can easily destroy network connectivity,will influence the ad hoc network connectivity significan...The foundation of ad hoc networks lies in the guarantee of continuous connectivity.However,critical nodes,whose failure can easily destroy network connectivity,will influence the ad hoc network connectivity significantly.To protect the network efficiently,critical nodes should be identified accurately and rapidly.Unlike existing critical node identification methods for unknown topology that identify critical nodes according to historical information,this paper develops a critical node identification method to relax the prior topology information condition about critical nodes.Specifically,we first deduce a theorem about the minimum communication range for a node through the number of nodes and deployment ranges,and prove the universality of the theorem in a realistic two-dimensional scenario.After that,we analyze the relationship between communication range and degree value for each node and prove that the greater number of nodes within the communication range of a node,the greater degree value of nodes with high probability.Moreover,we develop a novel strategy to improve the accuracy of critical node identification without topology information.Finally,simulation results indicate the proposed strategy can achieve high accuracy and low redundancy while ensuring low time consumption in the scenarios with unknown topology information in ad hoc networks.展开更多
In the internet of battlefield things, ammunition is becoming networked and intelligent, which depends on location information. Therefore, this paper focuses on the self-organized network collaborative localization of...In the internet of battlefield things, ammunition is becoming networked and intelligent, which depends on location information. Therefore, this paper focuses on the self-organized network collaborative localization of munitions with an aerial three-dimensional(3D) highly-dynamic topographic structure under a satellite denied environment. As for aerial networked munitions, the measurement of munitions is objectively incomplete due to the degenerated and interrupted link of munitions. For this reason, a cluster-oriented collaborative localization method is put forward in this paper. Multidimensional scaling(MDS) was first integrated with a trilateration localization method(TLM) to construct a relative localization algorithm for determining the relative location of a mobile cluster network. The information related to relative velocity was then combined into a collaborative localization framework to devise a TLM-vMDS algorithm. Finally, an iterative refinement algorithm based on scaling by majorizing a complicated function(SMACOF) was employed to effectively eliminate the influence of incomplete link observation on localization accuracy. Compared with the currently available advanced algorithms, the proposed TLM-vMDS algorithm achieves higher localization accuracy and faster convergence for a cluster of extensively networked munitions, and also offers better numerical stability and robustness for highspeed motion models.展开更多
Vehicle Ad hoc Networks(VANETs)have high mobility and a rando-mized connection structure,resulting in extremely dynamic behavior.Several challenges,such as frequent connection failures,sustainability,multi-hop data tr...Vehicle Ad hoc Networks(VANETs)have high mobility and a rando-mized connection structure,resulting in extremely dynamic behavior.Several challenges,such as frequent connection failures,sustainability,multi-hop data transfer,and data loss,affect the effectiveness of Transmission Control Protocols(TCP)on such wireless ad hoc networks.To avoid the problem,in this paper,mobility-aware zone-based routing in VANET is proposed.To achieve this con-cept,in this paper hybrid optimization algorithm is presented.The hybrid algo-rithm is a combination of Ant colony optimization(ACO)and artificial bee colony optimization(ABC).The proposed hybrid algorithm is designed for the routing process which is transmitting the information from one place to another.The optimal routing process is used to avoid traffic and link failure.Thefitness function is designed based on Link stability and Residual energy.The validation of the proposed algorithm takes solution encoding,fitness calculation,and updat-ing functions.To perform simulation experiments,NS2 simulator software is used.The performance of the proposed approach is analyzed based on different metrics namely,delivery ratio,delay time,throughput,and overhead.The effec-tiveness of the proposed method compared with different algorithms.Compared to other existing VANET algorithms,the hybrid algorithm has proven to be very efficient in terms of packet delivery ratio and delay.展开更多
针对避免广播冲突的CR Ad Hoc网络的分布式广播协议广播成功率低和基于选择性广播信道集的低延迟广播算法广播冲突率高的问题,提出基于中继节点选择的多跳CR Ad Hoc网络广播算法。根据节点可用信道集的大小和基于邻居度的转发概率选取...针对避免广播冲突的CR Ad Hoc网络的分布式广播协议广播成功率低和基于选择性广播信道集的低延迟广播算法广播冲突率高的问题,提出基于中继节点选择的多跳CR Ad Hoc网络广播算法。根据节点可用信道集的大小和基于邻居度的转发概率选取中继节点,并对相应中继节点的可用信道集随机左移,在保证一定广播成功率、广播时延和广播冲突率的前提下,降低节点转发率,减少网络中的冗余信息;建立综合评价函数对广播算法的综合性能进行了定量分析;给出广播冲突概率推导。仿真结果表明,该算法与分布式广播协议相比,提高了广播成功率,降低了广播时延;与低延迟广播算法相比,降低了节点转发率和广播冲突概率。根据综合评价函数,该广播算法的综合性能更好。展开更多
文摘本文在Ad hoc网络中提出了一种基于区块链技术的多路径QoS(quantity of service)路由算法(BMQR)。该算法依据网络内节点的移动性、连通性和通信距离组建类似区块群,在群内通过QoS约束寻找由主节点和备选节点组成的多路径路由。通过实验仿真,BMQR算法较传统的AODV(Ad hoc on-demand distance vector routing)算法在路由的稳定性和投包率方面展示出了巨大的优越性。
基金supported by the National Natural Science Foundation of China(62231020)the Youth Innovation Team of Shaanxi Universities。
文摘The foundation of ad hoc networks lies in the guarantee of continuous connectivity.However,critical nodes,whose failure can easily destroy network connectivity,will influence the ad hoc network connectivity significantly.To protect the network efficiently,critical nodes should be identified accurately and rapidly.Unlike existing critical node identification methods for unknown topology that identify critical nodes according to historical information,this paper develops a critical node identification method to relax the prior topology information condition about critical nodes.Specifically,we first deduce a theorem about the minimum communication range for a node through the number of nodes and deployment ranges,and prove the universality of the theorem in a realistic two-dimensional scenario.After that,we analyze the relationship between communication range and degree value for each node and prove that the greater number of nodes within the communication range of a node,the greater degree value of nodes with high probability.Moreover,we develop a novel strategy to improve the accuracy of critical node identification without topology information.Finally,simulation results indicate the proposed strategy can achieve high accuracy and low redundancy while ensuring low time consumption in the scenarios with unknown topology information in ad hoc networks.
文摘In the internet of battlefield things, ammunition is becoming networked and intelligent, which depends on location information. Therefore, this paper focuses on the self-organized network collaborative localization of munitions with an aerial three-dimensional(3D) highly-dynamic topographic structure under a satellite denied environment. As for aerial networked munitions, the measurement of munitions is objectively incomplete due to the degenerated and interrupted link of munitions. For this reason, a cluster-oriented collaborative localization method is put forward in this paper. Multidimensional scaling(MDS) was first integrated with a trilateration localization method(TLM) to construct a relative localization algorithm for determining the relative location of a mobile cluster network. The information related to relative velocity was then combined into a collaborative localization framework to devise a TLM-vMDS algorithm. Finally, an iterative refinement algorithm based on scaling by majorizing a complicated function(SMACOF) was employed to effectively eliminate the influence of incomplete link observation on localization accuracy. Compared with the currently available advanced algorithms, the proposed TLM-vMDS algorithm achieves higher localization accuracy and faster convergence for a cluster of extensively networked munitions, and also offers better numerical stability and robustness for highspeed motion models.
文摘Vehicle Ad hoc Networks(VANETs)have high mobility and a rando-mized connection structure,resulting in extremely dynamic behavior.Several challenges,such as frequent connection failures,sustainability,multi-hop data transfer,and data loss,affect the effectiveness of Transmission Control Protocols(TCP)on such wireless ad hoc networks.To avoid the problem,in this paper,mobility-aware zone-based routing in VANET is proposed.To achieve this con-cept,in this paper hybrid optimization algorithm is presented.The hybrid algo-rithm is a combination of Ant colony optimization(ACO)and artificial bee colony optimization(ABC).The proposed hybrid algorithm is designed for the routing process which is transmitting the information from one place to another.The optimal routing process is used to avoid traffic and link failure.Thefitness function is designed based on Link stability and Residual energy.The validation of the proposed algorithm takes solution encoding,fitness calculation,and updat-ing functions.To perform simulation experiments,NS2 simulator software is used.The performance of the proposed approach is analyzed based on different metrics namely,delivery ratio,delay time,throughput,and overhead.The effec-tiveness of the proposed method compared with different algorithms.Compared to other existing VANET algorithms,the hybrid algorithm has proven to be very efficient in terms of packet delivery ratio and delay.
文摘针对避免广播冲突的CR Ad Hoc网络的分布式广播协议广播成功率低和基于选择性广播信道集的低延迟广播算法广播冲突率高的问题,提出基于中继节点选择的多跳CR Ad Hoc网络广播算法。根据节点可用信道集的大小和基于邻居度的转发概率选取中继节点,并对相应中继节点的可用信道集随机左移,在保证一定广播成功率、广播时延和广播冲突率的前提下,降低节点转发率,减少网络中的冗余信息;建立综合评价函数对广播算法的综合性能进行了定量分析;给出广播冲突概率推导。仿真结果表明,该算法与分布式广播协议相比,提高了广播成功率,降低了广播时延;与低延迟广播算法相比,降低了节点转发率和广播冲突概率。根据综合评价函数,该广播算法的综合性能更好。
