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...

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...

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...

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...

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...

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...

Recently, the UAS has been extensively exploited for data collection from remote and dangerous or inaccessible areas. While most of its existing applications have directed toward surveillance monitoring tasks, can play a significant role as communication network facilitator. For example, may effectively extend capability to disaster-affected people (who lost cellular Internet infrastructures on ground) by quickly constructing relay system among number UAVs. However, distance between centers...

Recently, deep learning has emerged as a state-of-the-art machine technique with promising potential to drive significant breakthroughs in wide range of research areas. The application for network traffic control, however, remains immature due the difficulty uniquely characterizing features an appropriate input and output dataset structures. are anticipated be even more dynamic complex UDNs emerging 5G networks high demands coupled beamforming massive MIMO technologies. Therefore, it is...

With the exponentially growing COVID-19 (coronavirus disease 2019) pandemic, clinicians continue to seek accurate and rapid diagnosis methods in addition virus antibody testing modalities. Because radiographs such as X-rays computed tomography (CT) scans are cost-effective widely available at public health facilities, hospital emergency rooms (ERs), even rural clinics, they could be used for detection of possible COVID-19-induced lung infections. Therefore, toward automating detection, this...

Demand-side management in smart grids has emerged as a hot topic for optimizing energy consumption. In conventional research works, consumption is optimized from the perspective of either users or power company. this paper, we investigate how may be by taking into consideration interaction between both parties. We propose new price model function total Also, objective function, which optimizes difference value and cost energy. The supplier pulls consumers round-robin fashion provides them...

The Wireless Mesh Network (WMN) has already been recognized as a promising broadband access network technology from both academic and commercial perspective. In order to improve the performance of WMNs, extensive research efforts have dedicated towards finding means increase number simultaneous transmissions in while avoiding signal interference among radios. case WMNs based on IEEE 802.11 b/g standards, most recent works relied upon usage orthogonal channels for solving Channel Assignment...

During the great east Japan earthquake on March 11, 2011, a lot of ICT resources - telecom switching offices, optical fiber links, and so forth were completely or partially damaged due to tremor resultant tsunami. As consequence, demand for services explosively increased, mainly because people affected areas trying desperately communicate with outside world that led phenomenal rise in network traffic. In Nippon Telegraph Telephone (NTT) East Corporation alone, 385 telephone offices stopped...

Smart grid presents the largest growth potential in machine-to-machine market today. Spurred by recent advances M2M technologies, smart meters/sensors used are expected not to require human intervention characterizing power requirements and energy distribution. These numerous sensors able report back information such as consumption other monitoring signals. However, SG, it comprises an control distribution system, requires fast response malicious events distributed denial of service attacks...

The unbridled growth of the Internet and network-based applications has contributed to enormous security leaks. Even cryptographic protocols, which are used provide secure communication, often targeted by diverse attacks. Intrusion detection systems (IDSs) employed monitor network traffic host activities that may lead unauthorized accesses attacks against vulnerable services. Most conventional misuse-based anomaly-based IDSs ineffective at encrypted protocols since they heavily rely on...

SDN has been regarded as the next-generation network paradigm it decouples complex management from packet forwarding, which significantly simplifies operation of switches in data plane. The good programmability infrastructure also improves feasibility. To alleviate burden explosive growth traffic, this article we propose a non-supervised deep learning based routing strategy running controller. In our proposal, utilize CNNs architecture, and controller runs to choose best path combination for...

Recently, SDN has emerged as a promising technology to cost-effectively provide the scale and flexibility necessary for IoT services. In this article, we consider wireless IoT, referred SDN-IoT, which is anticipated smartly route traffic use underutilized network resources deliver data cloud/ Internet. However, rapid increase of devices subsequent massive surge are expected place huge strain on SDN-IoT. focus issue point out importance assigning suitable channels each SDN-IoT switch avoid...

Software Defined Networking (SDN) is regarded as the next generation paradigm it simplifies structure of data plane and improves resource utilization. However, in current Communication Systems (SDCSs), maximum or minimum metric value based routing strategies come from traditional networks, which lack ability self-adaptation do not efficiently utilize computation controllers. To solve these problems, this paper, we deep learning technique to conduct for SDCSs. Specifically, our proposal,...

A heterogeneous computing architecture is essential to facilitate intelligent network traffic control for a joint computation, communication, and collaborative caching optimization in 6G networks provide stringent Quality of Experience (QoE) guarantees. In this paper, we consider integrated aerial-terrestrial model where Unmanned Aerial Vehicles (UAVs) terrestrial Remote Radio Heads (RRHs) jointly serve as Base Stations (hgNBs) Cloud Access Network (HCRAN) serving different mobile user (UE)...

In recent years, research attention on smart grid comprising distributed power generators has increased. To produce electricity in the grid, many micro grids (MGs) may exploit various renewable energy resources. Because production capacity of resources cannot be controlled, MGs often require plants to provide for them. However, loss between each MG and plant is larger than that among MGs. alleviate this loss, we propose a game theoretic coalition formulation strategy dubbed GT-CFS. Our...

Recent technological advances in electronics, sensors, and communications devices have facilitated the proliferation of Unmanned Aircraft System (UAS)-aided applications. However, UAS-aided networks are yet to receive sufficient research endeavor. In this paper, we address one most important challenges pertaining comprising adaptive modulation-capable nodes, namely how fairly maximize energy efficiency (throughput per energy). For mobility pattern innate UAS, demonstrate modulation behaves....