Unmanned aerial vehicles (UAVs) have been widely used to provide enhanced information coverage as well relay services for ground Internet-of-Things (IoT) networks. Considering the substantially limited processing capability, IoT devices may not be able tackle with heavy computing tasks. In this article, a multi-UAV-aided mobile-edge (MEC) system is constructed, where multiple UAVs act MEC nodes in order offloading which local capabilities. For sake of balancing load UAVs, differential...

Past few years have witnessed the compelling applications of blockchain technique in our daily life ranging from financial market to health care. Considering integration and industrial Internet Things (IoT), may act as a distributed ledger for beneficially establishing decentralized autonomous trading platform IoT (IIoT) networks. However, power computation constraints prevent devices directly participating this proof-of-work process. As remedy, treatise, cloud computing service is...

With the development of satellite networks, there is an emerging trend to integrate networks with terrestrial called satellite-terrestrial (STNs). The improvements STNs need innovative information and communication technologies, such as networking, caching, computing. In this paper, we propose a software-defined STN manage orchestrate computing resources jointly. We formulate joint allocation problem optimization problem, use deep Q-learning approach solve it. Simulation results show...

With the technological advancement and convergence of satellite communications, Internet, mobile wireless networking, STIN has been envisioned. In this article, we introduce a potential architecture that integrates extended space network, networks to provide comprehensive services global anytime anywhere network access. The being most complex component STIN, consists space-backbone several GEO satellites, terrestrial backbone data centers ground access nodes, comprised various satellites at...

With the developments of communication technologies and smart manufacturing, Industrial Internet Things (IIoT) has emerged. Software-defined networking (SDN), a promising paradigm shift, provided viable way to manage IIoT dynamically, called software-defined (SDIIoT). In SDIIoT, lots data flows are generated by industrial devices, where physically distributed but logically centralized control plane is necessary. However, one most intractable problems how reach consensus among multiple...

Unmanned aerial vehicle (UAV) communication is a promising technology for Internet of Things (IoT) systems. In this paper, we combine UAV and nonorthogonal multiple access (NOMA) constructing high capacity IoT uplink transmission systems, where UAVs are used as base stations collecting data from nodes while NOMA invoked transmission. We aim to maximize the system by jointly optimize subchannel assignment, transmit power nodes, flying heights UAVs. commence proposing an efficient assignment...

Recently, a series of innovative information-centric networking (ICN) architectures have been designed to better address the shift from host-centric end-to-end communication requester-driven content retrieval. With explosive increase mobile data traffic, mobility issue in ICN is growing concern and number approaches proposed deal with problem ICN. Despite potential advantages wireless environments, several significant research challenges remain be addressed before its widespread deployment,...

Unmanned aerial vehicles (UAVs) may be used for providing seamless network coverage in urban areas improving the performance of conventional cellular networks. Given predominantly line-of-sight channel drones, UAV-aided becomes particularly beneficial case emergency situations. However, a single UAV having limited cruising capability is unable to provide long-term coverage, multiple drones relying on sophisticated recharging and reshuffling schemes are necessary. In this context, both...

For multi-task mobile edge computing (MEC) systems in satellite Internet of Things (IoT), there are dependencies between different tasks, which need to be collected and jointly offloaded. It is crucial allocate the communication resources reasonably due scarcity resources. To address this issue, we propose a joint offloading resource allocation scheme IoT improve efficiency. We first construct novel task scheduling system tasks decided by multiple unmanned aerial vehicles (UAV) based base...

Satellite-ground integrated networks (SGINs) are regarded as promising architectures for sensing heterogenous measurements, reducing network congestion and providing pervasive intelligence services in support of terrestrial users.In SGINs, both low, medium geostationary orbit based satellites deployed achieving global coverage supporting communication users.However, the integration task sensing, computation, caching functionalities is quite challenging, which leads to low real-time...

Mobile cellular networks have become both the generators and carriers of massive data. Big data analytics can improve performance mobile maximize revenue operators. In this paper, we introduce a unified model based on random matrix theory machine learning. Then, present an architectural framework for applying big in networks. Moreover, describe several illustrative examples, including signaling data, traffic location radio waveforms heterogeneous Finally, discuss number open research challenges

Network virtualization can offer more flexibility and better maintainability for the current Internet through allowing multiple heterogeneous virtual networks (VNs) to share network resource of a common infrastructure provider. The main challenge in this respect is efficient embedding nodes links from VN requests onto limited substrate resources. notion storage exchange bandwidth some extent gives us hint that utilization relieve consumption. existing model does not consider constraints on...

Network traffic classification has become an important part of network management, which is beneficial for achieving intelligent operation and maintenance, enhancing the quality service (QoS), security. Given rapid development various applications protocols, more encrypted emerged in networks. Traditional methods exhibited unsatisfied performance since no longer plain text. In this work, we modeled time-series by recurrent neural (RNN). Moreover, attention mechanism was introduced assisting...

With rapid development of compelling application scenarios the Internet Things (IoT), such as smart cities, it becomes substantially important to strengthen management data traffic in IoT networks. Traffic classification is beneficial terms both ensuring network security and improving quality service. Traditional methods separate algorithm design feature engineering, which includes extraction selection. Then, identification or performed by combining both. This paper proposes an end-to-end...

Intrusion detection technology has received increasing attention in recent years. Many researchers have proposed various intrusion systems using machine learning (ML) methods. However, there are two noteworthy factors affecting the robustness of model. One is severe imbalance network traffic different categories and other nonidentical distribution between training set test feature space. This paper presents a multilevel model framework named semi-supervised ML (MSML) to address these issues....

Wireless network virtualization and information-centric networking (ICN) are two promising technologies in next-generation wireless networks. Traditionally, these have been addressed separately. In this paper, we show that jointly considering ICN is necessary. Specifically, propose an framework for enabling ICN. Then, formulate the virtual resource allocation in-network caching strategy as optimization problem, not only revenue earned by serving end users but cost-of-leasing infrastructure...

Recently, the term ‘Internet of Things’ (IoT) has garnered great attention. As a trusted, dependable, and decentralized approach, blockchain already been used in IoT. However, existing number drawbacks that prevent it from being as generic platform for The nodes IoT are heavily resource-limited, especially computing networking resources. Unfortunately, they necessary to solve complicated puzzles propagate blocks. In this paper, we propose agent mining cloud approaches above problem...

The issue of virtual network (VN) embedding constitutes an important aspect virtualization, which is considered to be one the most crucial techniques overcome Internet ossification problem. main purpose VN efficiently utilize limited physical resources offer supporting nodes and links from VNs. Due fact that problem proved NP-hard, previous works have put forward some heuristic algorithms solve this However, existing research only consider local nodes, ignoring topological attributes its...

With the rapid development of Internet Things (IoT), more and applications focus on detection unmanned areas. assistance aerial vehicle (UAV), IoT devices are able to access network via base stations. These UAV-assisted still face security energy challenges. The open environment makes application easy encounter external invasion. Limited UAV results in limited lifetime access. To address these challenges, researches efficiency becoming hotspots. Nevertheless, continuous coverage scenario,...

The past few years have witnessed a wide deployment of software defined networks facilitating separation the control plane from forwarding plane. However, work on largely relies manual process in configuring strategies. To address this issue, paper presents NetworkAI, an intelligent architecture for self-learning strategies networking networks. NetworkAI employs deep reinforcement learning and incorporates network monitoring technologies, such as in-band telemetry to dynamically generate...

The design of an intrusion detection system (IDS) plays a critical role in guaranteeing the security Industrial Internet Things (IIoT). Recently, rapid development edge-based IIoT has posed new challenges beneficial IDS considering its billions devices and substantially decentralized data interaction. Both method architecture become key components constructing efficient for IIoT. In this article, we survey typical state-of-theart studies about methods structure IDS. Moreover, propose hybrid...

Recently, the term "Internet of Things" (IoT) has elicited escalating attention. The flexibility, agility, and ubiquitous accessibility have encouraged integration between machine learning (ML) with IoT. However, there are many challenges that present key inhibitors in moving ML to public solution, such as centralized training, poor training efficiency, heavy computing capabilities requirements. Therefore, bringing intelligence edge IoT nodes been spotlighted for some researches. Meanwhile,...

This article proposes an innovative resource management framework for the next generation heterogeneous satellite networks (HSNs), which can achieve cooperation between independent systems and maximizing utilization. The key points of proposed design lie in architecture that supports intercommunication different systems, SDN/NFV-based offering matching resources services. Based on framework, we then apply deep reinforcement learning (DRL) into system due to its strong ability optimal...