As Wireless Mesh Networks (WMNs) have been increasingly deployed, where users can share, create and access videos with different characteristics, the need for new quality estimator mechanisms has become important because operators want to control of video delivery optimize their network resources, while increasing user satisfaction. However, development in-service Quality Experience (QoE) estimation schemes Internet (e.g., real-time streaming gaming) complexities, motions, Group Picture...

As Wireless Mesh Networks (WMNs) are being increasingly deployed, there is an increasing demand for new quality assessment mechanisms that allow service operators to evaluate and optimize the utilization of network resources, while ensuring a good level on multimedia applications as perceived by end-users. However, existing real-time schemes WMNs not capable capturing actual received content with regard user perception. Therefore, it possible assure experience services. To address this...

With the recent emergence of energy-harvesting technologies in wireless devices, new challenges have to be addressed by Machine-to-Machine (M2M) communication protocols. The Neutral Operation problem is a relevant that seeks maintain energy reserve node level minimizes depletion and maximizes usage harvested-energy. However, neutral operation multihop network more complex issue, since nodes lack full knowledge diverse harvesting consumption profiles. A simplification proposed, named Minimum...

Wireless Mesh Networks (WMNs) are increasingly deployed to enable thousands of users share, create, and access live video streaming with different characteristics content, such as surveillance football matches. In this context, there is a need for new mechanisms assessing the quality level videos because operators seeking control their delivery process optimize network resources, while increasing user’s satisfaction. However, development in-service non-intrusive Quality Experience assessment...

Network lifetime is the time interval in which nodes are operational. Considering that machine-to-machine (M2M) devices have limited energy resources, an important challenge M2M communications to prolong network lifetime. The constrained application protocol (CoAP) supports multi-target monitoring applications communications, allowing creation and maintenance of groups, as well their periodic communication. It essential aggregate CoAP group-communication over paths increase low-power...

Internet of Things (IoT) is evolving to multi-application scenarios in smart cities, which demand specific traffic patterns and requirements. Multi-applications share resources from a single multi-hop wireless networks, where devices collaborate send collected data over Low-Power Lossy Networks (LLNs). Routing Protocol for LLNs (RPL) emerged as routing protocol be used IoT the have limited resources. Instances are RPL mechanisms that play key role order support with multiple applications,...

Long Range Wide Area Network (LoRaWAN) enables flexible long-range communication with low power consumption and low-cost design perspectives. However, the adoption of this technology brings new challenges due to densification IoT devices, which causes signal interference affects QoS directly. On other hand, flexibility in LoRaWAN transmission configurations allows higher management use end-device parameters, better resource utilization improves network scalability. This paper proposes an...

The convergence of emerging real-time multimedia services, the increasing coverage wireless networks and ever-growing popularity mobile devices, are leading to an era user-centric services. In this scenario, heterogeneous communications will co-exist ensure that end-user is always best connected. However, Quality Experience (QoE) support for video applications in multi-operator environments remains a significant challenge crucial success systems. This paper presents Handover Architecture...

As Wireless Mesh Networks (WMNs) have been increasingly deployed, where users can share, create and access videos with different characteristics, the need for new quality estimator mechanisms has become important because operators want to control of video delivery optimize their network resources, while increasing user satisfaction. However, development in-service Quality Experience (QoE) estimation schemes Internet (e.g., real-time streaming gaming) complexities, motions, Group Picture...

Internet-of-Things (IoT) environments will have a large number of nodes organized into groups to collect and disseminate data. In this sense, one the main challenges in IoT is dynamically manage communication characteristics devices decrease congestion, traffic collisions, excessive data collection, as well balance use energy resources. paper, we introduce an energy-efficient reliable Self Adjusting group dense Network, called SADIN. It configures settings ensure dynamic control considering...

One of the main requirements in this emerging wireless multimedia era is Quality Experience (QoE) assurance for 2D or 3D video applications heterogeneous multi-operator environments. Therefore, paper proposes a QoE Architecture Heterogeneous Multimedia Wireless Networks, called QoEHand. QoEHand extends Media Independent Handover (MIH)/IEEE 802.21 proposal with QoE-awareness, seamless mobility, dynamic class service mapping and set content adaptation schemes. The proposed solution allows best...

Summary Dense Internet of Things (DIoT) is fazed by message loss, congestion, and energy consumption, due to a large number connected devices. One the main challenges in DIoT environments achieve self‐adaptable communication without human intervention, where system able dynamically manage its own settings mitigate common problems. Seeking promote self‐adaptability DIoT, this paper presents Autonomic management GRoup for intErnEt thiNgs applications (AGREEN). It an autonomous solution IoT...

Machine-to-Machine technology supports several application scenarios, such as smart metering, automotive, healthcare and city monitoring. Smart metering applications have attracted the interest of companies governments since these bring many benefits (e.g. costs reduction increased reliability) for production, monitoring distribution utilities, gas, water electricity. Multi-hop wireless communication is a cost-effective because it extends range enables fast deployment. data communicated via...

The advances made in sustainable energy technology to power small Internet of Things (IoT) devices have raised the challenge how prolong neutral operation (ENO), which no node depletes its battery and all nodes prevent batteries from overcharging. Extending operational time IoT networks through environmental friendly sources (e.g., <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">solar, thermal, vibration</i> ) is first stage toward...

Industrial production and manufacturing systems require automation, reliability, as well low-latency intelligent control. Internet of Things (IIoT) is an emerging paradigm that enables precise, low latency, computing, supported by cutting-edge technology such edge computing machine learning. IIoT provides some the essential building blocks to drive next level productivity, efficiency, safety. Hardware failures faults in are critical challenges be faced. These anomalies can cause accidents...

The energy resources of Machine-to-Machine (M2M) devices need to last as much possible. Data aggregation is a suitable solution prolong the network lifetime, since it allows reduce amount data traffic. In M2M systems, platform and Constrained Application Protocol (CoAP) enable multiple entities send concurrent data-requests same capillary network. For example, in Smart Metering scenario, there are measuring electricity consumption an entire building. supplier company requests all updates...

Machine-to-Machine (M2M) communications have emerged as a new concept for the next generation of sensing and actuating systems. With recent emergence energy harvesting technologies, current communication solutions addressed problem controlling data to regulate efficiently consumption, aiming avoid under overuse energy. However, these do not consider aggregation means network traffic. To fill this gap, paper proposes Data Aggregation harVesting NETworks (DAV-NET), which regulates consumption...

This article presents an approach to autonomous flight planning of Unmanned Aerial Vehicles (UAVs)-Drones as data collectors the Internet Things (IoT). We have proposed a model for only one aircraft, well multiple ones. A clustering technique that extends scope number IoT devices (e.g., sensors) visited by UAVs is also addressed. The plan generated from focuses on preventing breakdowns due lack battery charge maximize nodes visited. In addition drone planning, storage limitation aspect...

In a hyperconnected society, computer networks play pivotal role in all activities that permeate our daily lives. the context of smart cities, theses enhancing urban efficiency and sustainability. The continuous flow packets these poses security challenges, from personal data leakage to service unavailability. Anomaly-based methods are commonly used detect network attacks. this context, Software-Defined Networking (SDN) emerges as solution for anomaly detection traffic, facilitating...

A transição das redes móveis para o 5G estimulou a adoção de tecnologias como NFVs, SDN, slices e padrões abertos interoperáveis Open RAN (O-RAN). Em relação à segurança, as O-RAN se encontram nos estágios iniciais garantir integridade confiabilidade. Diante deste cenário, este trabalho propõe SID-xApp (Slice Intelligent Defender xApp), uma aplicação integrada ao controlador quase tempo real da rede (Near-RT RIC), com objetivo identificar mitigar ataques DDoS que possam comprometer os...

Federated Learning (FL) has emerged as a machine learning approach able to preserve the privacy of user’s data. Applying FL, clients train models on local dataset and central server aggregates learned parameters coming from clients, training global model without sharing However, state-of-the-art shows several approaches promote attacks FL systems. For instance, inverting or leaking gradient can find, with high precision, used during phase FL. This paper presents an approach, called Deep...