Space-air-ground integrated network (SAGIN), as an integration of satellite systems, aerial networks, and terrestrial communications, has been becoming emerging architecture attracted intensive research interest during the past years. Besides bringing significant benefits for various practical services applications, SAGIN is also facing many unprecedented challenges due to its specific characteristics, such heterogeneity, self-organization, time-variability. Compared traditional ground or...

Currently, the network traffic control systems are mainly composed of Internet core and wired/wireless heterogeneous backbone networks. Recently, these packet-switched experiencing an explosive growth due to rapid development communication technologies. The existing policies not sophisticated enough cope with continually varying conditions arising from tremendous growth. Deep learning, recent breakthrough in machine learning/intelligence area, appears be a viable approach for operators...

Among the LTE-A communication techniques, Device-to-Device (D2D) which is defined to directly route data traffic between spatially closely located mobile user equipments (UEs), holds great promise in improving energy efficiency, throughput, delay, as well spectrum efficiency. As a combination of ad-hoc and centralized mechanisms, D2D enables researchers merge together long-term development achievements previously disjoint domains networking networking. To help have systematic understanding...

The innovations provided by sixth generation wireless communication (6G) as compared to fifth (5G) are considered in this article based on analysis of related works. With the aim achieving diverse performance improvements for various 6G requirements, five core services identified. Two centricities and eight key indices (KPIs) detailed describe these services, then enabling technologies fulfill KPIs discussed. A architecture is proposed an integrated system illustrated using four typical...

As a powerful tool, the vehicular network has been built to connect human communication and transportation around world for many years come. However, with rapid growth of vehicles, becomes heterogeneous, dynamic, large scaled, which makes it difficult meet strict requirements, such as ultralow latency, high reliability, security, massive connections next-generation (6G) network. Recently, machine learning (ML) emerged artificial intelligence (AI) technique make both vehicle wireless highly...

The advanced metering infrastructure of the smart grid presents biggest growth potential in machine-to-machine market today. Spurred by recent advances M2M technologies, SG meters are expected not to require human intervention characterizing power requirements and energy distribution. However, there many challenges design communications network whereby electrical appliances able exchange information pertaining varying requirements. Furthermore, different types gateways required at points...

Recently, mobile ad hoc networks became a hot research topic among researchers due to their flexibility and independence of network infrastructures, such as base stations. Due unique characteristics, dynamic topology, limited bandwidth, battery power, routing in MANET is particularly challenging task compared conventional network. Early work has mainly focused on developing an efficient mechanism highly resource-constrained At present, several protocols have been proposed for MANET. Most...

The development of light detection and ranging, Radar, camera, other advanced sensor technologies inaugurated a new era in autonomous driving. However, due to the intrinsic limitations these sensors, vehicles are prone making erroneous decisions causing serious disasters. At this point, networking communication can greatly make up for deficiencies, more reliable, feasible efficient promote information interaction, thereby improving vehicle's perception planning capabilities as well realizing...

Smart grid (SG) communication has recently received significant attentions to facilitate intelligent and distributed electric power transmission systems. However, trust security issues still present practical concerns the deployment of SG. In this paper, cope with these challenging concerns, we propose a lightweight message authentication scheme features as basic yet crucial component for secure SG framework. Specifically, in proposed scheme, smart meters which are at different hierarchical...

There are numerous research challenges that need to be addressed until a wide deployment of vehicular ad hoc networks (VANETs) becomes possible. One the critical issues consists design scalable routing algorithms robust frequent path disruptions caused by vehicles' mobility. This paper argues use information on movement (e.g., position, direction, speed, and digital mapping roads) predict possible link-breakage event prior its occurrence. Vehicles grouped according their velocity vectors....

Recently, deep learning, an emerging machine learning technique, is garnering a lot of research attention in several computer science areas. However, to the best our knowledge, its application improve heterogeneous network traffic control (which important and challenging area by own merit) has yet appear because difficult challenge characterizing appropriate input output patterns for system correctly reflect highly dynamic nature large-scale networks. In this vein, article, we propose...

With the widespread adoption of Internet Things (IoT), number connected devices is growing at an exponential rate, which contributing to ever-increasing, massive data volumes. Real-time analytics on IoT data, referred as "real-time analytics" in this paper, becoming mainstream with aim provide immediate or non-immediate actionable insights and business intelligence. However, network existing systems does not adequately consider requirements real-time analytics. In fact, most researchers...

The development of mobile devices with improving communication and perceptual capabilities has brought about a proliferation numerous complex computation-intensive applications. Mobile limited resources face more severe capacity constraints than ever before. As new concept network architecture an extension cloud computing, Edge Computing (MEC) seems to be promising solution meet this emerging challenge. However, MEC also some limitations, such as the high cost infrastructure deployment...

The Great East Japan Earthquake and Tsunami drastically changed Japanese society, the requirements for ICT was completely redefined. After disaster, it impossible disaster victims to utilize their communication devices, such as cellular phones, tablet computers, or laptop notify families friends of safety confirm loved ones since infrastructures were physically damaged lacked energy necessary operate. Due this drastic event, we have come realize importance device-to-device communications....

Due to physical limitations, mobile devices are restricted in memory, battery, processing, among other characteristics. This results many applications that cannot be run such devices. problem is fixed by Edge Cloud Computing, where the users offload tasks they cloudlet servers edge of network. The main requirement a system having low Service Delay, which would correspond high Quality Service. paper presents method for minimizing Delay scenario with two servers. has dual focus on computation...

Recent years, Software Defined Routers (SDRs) (programmable routers) have emerged as a viable solution to provide cost-effective packet processing platform with easy extensibility and programmability. Multi-core platforms significantly promote SDRs' parallel computing capacities, enabling them adopt artificial intelligent techniques, i.e., deep learning, manage routing paths. In this paper, we explore new opportunities in learning inexpensively shift the needs from rule-based route...

It is widely acknowledged that the development of traditional terrestrial communication technologies cannot provide all users with fair and high quality services due to scarce network resources limited coverage areas. To complement connection, especially for in rural, disaster-stricken, or other difficult-to-serve areas, satellites, UAVs, balloons have been utilized relay signals. On this basis, SAGINs proposed improve users' QoE. However, compared existing networks such as ad hoc cellular...

As the 5G standard is being completed, academia and industry have begun to consider a more developed cellular communication technique, 6G, which expected achieve high data rates up 1 Tb/s broad frequency bands of 100 GHz 3 THz. Besides significant upgrade key metrics, Artificial Intelligence (AI) has been envisioned by many researchers as most important feature since state-of-the-art machine learning technique adopted top solution in extremely complex scenarios. Network intelligentization...

The emergence of massive Internet Things (IoT) mobile devices (MDs) and the deployment ultradense 5G cells have promoted evolution IoT toward networks. In order to meet diverse quality-of-service quality experience demands from ever-increasing applications, networks face unprecedented challenges. Among them, a fundamental one is how address conflict between resource-hungry applications resource-constrained MDs. By offloading MDs' computation tasks edge servers deployed at radio access...

Space-air-ground-sea integrated network (SAGSIN), which integrates satellite communication networks, aerial terrestrial and marine has been widely envisioned as a promising architecture for 6G. In consideration of its cooperation characteristics multi-layer open environment, time-varying topologies, SAGSIN faces many unprecedented security challenges, there have number researches related to performed over the past few years. Based on such observation, we provide in this paper detailed survey...

Device-to-device (D2D)-enabled wireless networks are becoming increasingly popular. However, in remote, rural, and disaster affected areas, it is difficult to construct such due the unavailability or inadequacy of cellular infrastructures. Unmanned aerial vehicles (UAVs) can be a good candidate promptly D2D-enabled network. assignment radio channels nodes (i.e., UAVs user terminals) challenging availability only limited number orthogonal interference issue resulted from using arbitrary...

Due to the fast increase of sensing data and quick response requirement in Internet Things (IoT) delivery network, high speed transmission has emerged as an important issue. Assigning suitable channels wireless IoT network is a basic guarantee transmission. However, dynamics traffic load (TL) make conventional fixed channel assignment algorithm ineffective. Recently, software defined networking-based (SDN-IoT) proposed improve quality. Besides this, intelligent technique deep learning widely...

Recently, deep learning has appeared as a breakthrough machine technique for various areas in computer science well other disciplines. However, the application of network traffic control wireless/heterogeneous networks is relatively new area. With evolution wireless networks, efficient such routing methodology backbone appears key challenge. This because conventional protocols do not learn from their previous experiences regarding abnormalities congestion and so forth. Therefore, an...

Mobile Edge Computing (MEC) is considered an essential future service for the implementation of 5G networks and Internet Things, as it best method delivering computation communication resources to mobile devices. It based on connection users servers located edge network, which especially relevant real-time applications that demand minimal latency. In order guarantee a resource-efficient MEC (which, example, could mean improved Quality Service or lower costs providers), important consider...