The proliferation of the Internet Things (IoT) demands a diverse and wide range requirements in terms latency, reliability, energy efficiency, etc. Future IoT systems must have ability to deal with challenging both users applications. Cognitive fifth generation (5G) network is envisioned play key role leveraging performance systems. cognitive 5G are expected provide flexible delivery broad services robust operations under highly dynamic conditions. In this paper, we present multiband...

Cognitive radio has been widely considered as one of the prominent solutions to tackle spectrum scarcity. While majority existing research focused on single-band cognitive radio, multiband represents great promises toward implementing efficient networks compared single-based networks. Multiband (MB-CRNs) are expected significantly enhance network's throughput and provide better channel maintenance by reducing handoff frequency. Nevertheless, wideband front–end access impose a number...

Wireless Sensor Networks are believed to be the enabling technology for Ambient Intelligence. They hold promise of delivering a smart communication paradigm which enables setting up an intelligent network capable handling applications that evolve from user requirements. Cognitive agents making proactive decisions based on learning, reasoning and information sharing when interspersed in sensor networks, may help achieve end-to-end goals even presence multiple constraints optimization...

Smart grids (SG) represent the next step in modernizing current electric grid. In this structure, a communications network is combined with power grid order to gather information that can be used increase efficiency of grid, reduce consumption, and improve reliability services, among other numerous advantages. SG communication networks are unique their large scale limited capabilities nodes which present several challenges design efficient routing protocols. This paper provides comprehensive...

Energy and spectral efficient solutions are indispensable to the success of Internet Things (IoT). The design development energy for IoT very challenging mainly because large-scale deployment a massive number sensors devices. harvesting cognitive radios (CRs) considered as promising technologies efficiency, respectively. In this paper, we propose an spectrum scheme CR sensor networks (CRSNs). We present architecture CRSNs IoT, in which nodes can access opportunistically harvest from ambient...

Network Function Virtualization (NFV) has revolutionized the way network services are offered to end users. Individual functions decoupled from expensive and dedicated middleboxes now provided as software-based virtualized entities called Virtualized Functions (VNFs). NFV is often complemented with Cloud Computing paradigm provide networking enterprise customers end-users remote their premises. along also started be seen in Internet of Things (IoT) platforms a means IoT traffic. The intermix...

Spatial and temporal correlation among the generated traffic in wireless sensor networks (WSNs) can be exploited reducing energy consumption of continuous data collection. Dual prediction (DP) compression (DC) schemes rely on spatio-temporal to reduce number transmissions across WSNs, which leads conserving bandwidth. In this paper, we present both a two-tier reduction framework. The DP scheme is used between cluster nodes heads, while DC heads sink nodes. For schemes, various algorithms...

Central features of future 4G mobile communication systems are high-speed data transmission (up to 1 Gb/s) and interactive multimedia services. For effective delivery these services, the network must satisfy some stringent QoS metrics, defined typically in terms maximum delay and/or minimum throughput. Mobile satellite will be fully integrated with terrestrial cellular provide ubiquitous global coverage diverse users. The challenges for broadband systems, therefore, lie proper deployment...

Driven by the advent of sophisticated and ubiquitous applications, ever-growing need for information, wireless networks are without a doubt steadily evolving into profoundly more complex dynamic systems. The user demands progressively rampant, while application requirements continue to expand in both range diversity. Future networks, therefore, must be equipped with ability handle numerous, albeit challenging, requirements. Network reconfiguration, considered as prominent network paradigm,...

The Internet-of-Things (IoT) envisions a world where billions of everyday objects and mobile devices communicate using large number interconnected wired wireless networks. Maximizing the utilization this paradigm requires fine-grained QoS support for differentiated application requirements, context-aware semantic information retrieval, quick easy deployment resources, among many other objectives. These objectives can only be achieved if components IoT dynamically managed end-to-end across...

Public safety networks (PSNs) are very crucial for public protection and disaster relief (PPDR). Land mobile radio (LMR) technologies have been used extensively in the deployment of PSNs so far. LMR support sophisticated voice applications that can, to some extent, deal with mission-critical nature PPDR services. However, lack technological advancements broadband (BB) applications. Due this limitation, attention is drawn long-term evolution (LTE) technology (PS) as it has potential various...

Practical cognitive radio networks (CRNs) would have users with different capabilities and access levels to prior information about the primary (PUs). For instance, some may privilege PU network, which can be utilized increase detection performance, whereas others need use simple detectors due energy consumptions constraints, etc. This level of heterogeneity must accommodated enable coexistence secondary users'(SUs) networks. paper presents performance analysis comparison hard soft combining...

This paper proposes a neural network (NN) approach for modeling nonlinear channels with memory. Two main examples are given: (1) digital satellite and (2) solid-state power amplifiers (SSPAs). NN models provide good generalization performance (in terms of output signal-to-error ratio). allows the characterization each channel component. Neural net represent SSPA as system composed linear complex filter followed by memoryless filter. If new algorithms to be used in real systems, it is...

This paper proposes a novel approximation for the exponential integral function, E <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">1</sub> [x], using sum of functions. facilitates studying error probability number communication techniques in presence Co-Channel Interference (CCI). These include Hybrid Automatic Repeat Request (HARQ) with soft combining, selection relaying, incremental and opportunistic just to name few. To illustrate usefulness...

The wide adoption of large-scale Internet Things (IoT) systems has led to an unprecedented increase in backhaul (BH) traffic congestion, making it critical optimize management at the network edge. In IoT systems, BH is supported by various backhauling technologies that have different characteristics. Also, characteristics links can be sometimes time varying and unknown state, due external factors such as having resources shared with other systems. It responsibility edge devices able forward...

Device deployment plays a key role in the performance of any large-scale wireless sensor network (WSN) application. WSN device (i.e. numbers and positions devices) must consider several design factors, viz. coverage, connectivity, lifetime, etc. However, connectivity remains most fundamental factor especially large scale harsh environment. In this paper, we explore problem relay node (RN) placement 3D forestry space. We formulate generalized RN optimization aimed at maximizing with...

Spectrum sensing is believed to be a prominent solution spectrum scarcity caused by the presence of large number devices, particularly in Internet Things (IoT) applications. Providing access all these devices one paramount issues for I systems. Nevertheless, IoT poses several challenges that have yet overcome. Conventional techniques carefully modified applied sophisticated and scalable In this paper, an analysis its possible architecture configurations are presented. We provide extensive...

Wireless sensor networks (WSNs) are applied in several multi-disciplinary areas, offering powerful combination of distributed computing, sensing, and communication. At the same time, they pose challenges, mainly because their random deployment non-renewable energy resources. This paper gives an overview applications WSNs discusses major challenges with a special focus on signal processing networking aspects.

The Internet of Things (IoT) has enabled unprecedented interactions with our physical world, the aim to deliver a wide range customizable services in many domains. With recent advancements IoT technology, users are increasingly expecting these be intelligent and context aware. Nevertheless, there is still no framework capable delivering personalized on large scale. For such conceived, it likely that technologies from domains have utilized. This paper examines readiness leading...