The wide diffusion of mobile devices that natively support ad hoc communication technologies has led to several protocols for enabling and optimizing Mobile Ad Hoc Networks (MANETs). Nevertheless, the actual utilizati...The wide diffusion of mobile devices that natively support ad hoc communication technologies has led to several protocols for enabling and optimizing Mobile Ad Hoc Networks (MANETs). Nevertheless, the actual utilization of MANETs in real life seems limited due to the lack of protocols for the automatic creation and evolution of ad hoc networks. Recently, a novel P2P protocol named Wi-Fi Direct has been proposed and standardized by the Wi-Fi Alliance to facilitate nearby devices’ interconnection. Wi-Fi Direct provides high-performance direct communication among devices, includes different energy management mechanisms, and is now available in most Android mobile devices. However, the current implementation of Wi-Fi Direct on Android has several limitations, making the Wi-Fi Direct network only be a one-hop ad-hoc network. This paper aims to develop a new framework for multi-hop ad hoc networking using Wi-Fi Direct in Android smart devices. The framework includes a connection establishment protocol and a group management protocol. Simulations validate the proposed framework on the OMNeT++ simulator. We analyzed the framework by varying transmission range, number of hops, and buffer size. The results indicate that the framework provides an eventual 100% packet delivery for different transmission ranges and hop count values. The buffer size has enough space for all packets. However, as buffer size decreases, the packet delivery decreases proportionally.展开更多
Integrating mobile nodes into wireless light communication networks requires overcoming the challenges of light alignment. Here, we use white and blue lights to establish an all-light communication network with mobile...Integrating mobile nodes into wireless light communication networks requires overcoming the challenges of light alignment. Here, we use white and blue lights to establish an all-light communication network with mobile light communication(MLC) links for diverse environments. The integration of visual tracking with a gimbal stabilizer enables tracking and pointing mobile nodes during motion. The MLC achieves a robust transmission control protocol(TCP) connection, maintaining a packet loss of 6.8% and a delay of 48 ms even when the gimbal rotates at speeds exceeding 91.6 deg/s. The network demonstrates full-duplex real-time video communication between mobile and fixed nodes. Furthermore, a minimum requirement for establishing a TCP-based MLC link is presented: the motion time over a given path should exceed the sum of the TCP transmission delay, visual tracking delay, and gimbal rotation time. The mobile all-light communication network holds significant potential for providing various services across diverse environments to different users simultaneously.展开更多
With the reduction in manufacturing and launch costs of low Earth orbit satellites and the advantages of large coverage and high data transmission rates,satellites have become an important part of data transmission in...With the reduction in manufacturing and launch costs of low Earth orbit satellites and the advantages of large coverage and high data transmission rates,satellites have become an important part of data transmission in air-ground networks.However,due to the factors such as geographical location and people’s living habits,the differences in user’demand for multimedia data will result in unbalanced network traffic,which may lead to network congestion and affect data transmission.In addition,in traditional satellite network transmission,the convergence of network information acquisition is slow and global network information cannot be collected in a fine-grained manner,which is not conducive to calculating optimal routes.The service quality requirements cannot be satisfied when multiple service requests are made.Based on the above,in this paper artificial intelligence technology is applied to the satellite network,and a software-defined network is used to obtain the global network information,perceive network traffic,develop comprehensive decisions online through reinforcement learning,and update the optimal routing strategy in real time.Simulation results show that the proposed reinforcement learning algorithm has good convergence performance and strong generalizability.Compared with traditional routing,the throughput is 8%higher,and the proposed method has load balancing characteristics.展开更多
文摘The wide diffusion of mobile devices that natively support ad hoc communication technologies has led to several protocols for enabling and optimizing Mobile Ad Hoc Networks (MANETs). Nevertheless, the actual utilization of MANETs in real life seems limited due to the lack of protocols for the automatic creation and evolution of ad hoc networks. Recently, a novel P2P protocol named Wi-Fi Direct has been proposed and standardized by the Wi-Fi Alliance to facilitate nearby devices’ interconnection. Wi-Fi Direct provides high-performance direct communication among devices, includes different energy management mechanisms, and is now available in most Android mobile devices. However, the current implementation of Wi-Fi Direct on Android has several limitations, making the Wi-Fi Direct network only be a one-hop ad-hoc network. This paper aims to develop a new framework for multi-hop ad hoc networking using Wi-Fi Direct in Android smart devices. The framework includes a connection establishment protocol and a group management protocol. Simulations validate the proposed framework on the OMNeT++ simulator. We analyzed the framework by varying transmission range, number of hops, and buffer size. The results indicate that the framework provides an eventual 100% packet delivery for different transmission ranges and hop count values. The buffer size has enough space for all packets. However, as buffer size decreases, the packet delivery decreases proportionally.
基金supported by the National Key Research and Development Program of China (No. 2022YFE0112000)the National Natural Science Foundation of China (Nos. U21A20495, 62005130, and 62274096)+2 种基金the Natural Science Foundation of Jiangsu Province (No. BK20200755)the 111 Project (No. D17018)the Postgraduate Research & Practice Innovation Program of Jiangsu Province (No. KYCX23_1010)。
文摘Integrating mobile nodes into wireless light communication networks requires overcoming the challenges of light alignment. Here, we use white and blue lights to establish an all-light communication network with mobile light communication(MLC) links for diverse environments. The integration of visual tracking with a gimbal stabilizer enables tracking and pointing mobile nodes during motion. The MLC achieves a robust transmission control protocol(TCP) connection, maintaining a packet loss of 6.8% and a delay of 48 ms even when the gimbal rotates at speeds exceeding 91.6 deg/s. The network demonstrates full-duplex real-time video communication between mobile and fixed nodes. Furthermore, a minimum requirement for establishing a TCP-based MLC link is presented: the motion time over a given path should exceed the sum of the TCP transmission delay, visual tracking delay, and gimbal rotation time. The mobile all-light communication network holds significant potential for providing various services across diverse environments to different users simultaneously.
基金supported by the National Natural Science Foundation of China(No.U21A20451)the Science and Technology Planning Project of Jilin Province,China(No.20220101143JC)the China University Industry-Academia-Research Innovation Fund(No.2021FNA01003)。
文摘With the reduction in manufacturing and launch costs of low Earth orbit satellites and the advantages of large coverage and high data transmission rates,satellites have become an important part of data transmission in air-ground networks.However,due to the factors such as geographical location and people’s living habits,the differences in user’demand for multimedia data will result in unbalanced network traffic,which may lead to network congestion and affect data transmission.In addition,in traditional satellite network transmission,the convergence of network information acquisition is slow and global network information cannot be collected in a fine-grained manner,which is not conducive to calculating optimal routes.The service quality requirements cannot be satisfied when multiple service requests are made.Based on the above,in this paper artificial intelligence technology is applied to the satellite network,and a software-defined network is used to obtain the global network information,perceive network traffic,develop comprehensive decisions online through reinforcement learning,and update the optimal routing strategy in real time.Simulation results show that the proposed reinforcement learning algorithm has good convergence performance and strong generalizability.Compared with traditional routing,the throughput is 8%higher,and the proposed method has load balancing characteristics.
