Periódicos, Publicação

A real-time video quality estimator for emerging wireless multimedia systems

/

Wireless Mesh Networks (WMNs) are increasingly deployed to enable thousands of users to share, create, and access live video streaming with different characteristics and content, such as video surveillance and football matches. In this context, there is a need for new mechanisms for assessing the quality level of videos because operators are seeking to control their delivery process and optimize their network resources, while increasing the user’s satisfaction. However, the development of in-service and non-intrusive Quality of Experience assessment schemes for real-time Internet videos with different complexity and motion levels, Group of Picture lengths, and characteristics, remains a significant challenge. To address this issue, this article proposes a non-intrusive parametric real-time video quality estimator, called MultiQoE that correlates wireless networks’ impairments, videos’ characteristics, and users’ perception into a predicted Mean Opinion Score. An instance of MultiQoE was implemented in WMNs and performance evaluation results demonstrate the efficiency and accuracy of MultiQoE in predicting the user’s perception of live video streaming services when compared to subjective, objective, and well-known parametric solutions.

Periódicos, Publicação

Classification and evaluation of IoT brokers: A methodology

/

Since the term Internet of Things (IoT) was coined by Kevin Ashton in 1999, a number of middleware platforms have been developed to cope with important challenges such as the integration of different technologies. In this context of heterogeneous technologies, IoT message brokers become critical elements for the proper function of smart systems and wireless sensor networks (WSN) infrastructures. There are several evaluations made on IoT messaging middleware performance. Nevertheless, most of them ignore crucial aspects of the IoT context that also need to be included, such as reliability and other qualitative aspects. Thus, in this article, we propose a methodology for classification and evaluation of IoT brokers to help the scientific community and technology industry on evaluating them according to their interests, without leaving out important aspects for the context of smart environments. Our methodology bases its qualitative evaluations on the ISO/IEC 25000 (SQuaRE) set of standards and its quantitative evaluations on Jain’s process for performance evaluation. We developed a case study to illustrate our proposal with 12 different open-source brokers, validating the feasibility of our methodological approach.

Artigos de Conferência, Publicação

Modelo de Otimização de Alocação de Recursos em LoRaWAN para Aplicações de Internet das Coisas

/

O LoRaWAN é a tecnologia sem fio de longo alcance mais utilizada para aplicações de Internet das Coisas (IoT) que trabalham com alta densidade, pois é capaz de conectar dispositivos que requerem serviços de comunicação de longo alcance, baixo custo e menor consumo de energia. Contudo, a densificação do uso de LoRaWAN em serviços IoT traz uma série de desafios devido a interferência por transmissão simultânea no mesmo canal e/ou maior consumo de energia pelos dispositivos. Nesse contexto, é crucial entender os conceitos de alocação de recursos do LoRaWAN para otimizar a configuração de parâmetros específicos do rádio, ie, Fator de Espalhamento (SF) e Frequência de portadora (CF), em que a otimização dos parâmetros de transmissão via modelos de otimização é um desafio em aberto. Este artigo apresenta o MARCO, um modelo de otimização de alocação de recursos para minimizar a Qualidade de Serviço (QoS) do LoRaWAN para aplicações de IoT, além de contribuir para a melhora da eficiência enérgica dos dispositivos. O MARCO considera uma programação linear inteira mista para definir as configurações ideais dos parâmetros SF e CF, bem como especificações de trafego da rede como um todo. Resultados de simulação demonstram a eficiência em termos de taxa de extração de dados, número de colisões e consumo de energia do MARCO em comparação com as heurísticas de alocação de recursos para LoRaWAN existentes.

Artigos de Conferência, Publicação

An efficient heuristic LoRaWAN adaptive resource allocation for IoT 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 the densification of IoT devices, which causes signal interference and affects the QoS directly. On the other hand, the flexibility in the LoRaWAN transmission configurations allows higher management in the use of end-device parameters, which allows better resource utilization and improves network scalability. This paper proposes an adaptive solution to handle the define best LoRaWAN parameter settings to reduce the channel utilization and, consequently, maximize the number of packets delivered. Additionally, to validate our method, we formulated mixed-Integer linear programming and results compared to those given by the heuristics. Results provided by the heuristic are close to those provided by the MILP.

Artigos de Conferência, Publicação

An Online Quantitative Measure of Density for Low-Power IoT Networks

/

Low-Power Internet-of-Things (LPIoT) networks are formed by a massive number of power-constrained devices that use short-range wireless technologies to communicate. In the next years, the density of LPIoT networks tends to grow due to the low price of the IoT devices and the popularity of the IoT applications, which includes smart-home, building-monitoring, and smart-cities. Despite being a critical feature, often it is not clear how network density can be expressed in quantifiable terms. This letter proposes DENSity indeX (DENX), which is a measure for the density of LPIoT networks. DENX has been designed, implemented, and evaluated as an IoT platform tool to provide an online and fine-grained measure of density.

Artigos de Conferência, Publicação

A Methodology for Classification and Evaluation of IoT Brokers

/

Since the term Internet of Things (IoT) was coined by Kevin Ashton on 1999, a bundle of middleware platforms has been developed to cope with important challenges such as the integration of different technologies. Is in this context of heterogeneous technologies that IoT message brokers become key elements for the proper function of smart systems and wireless sensor networks (WSN) infrastructures. This article proposes a methodology for classification and evaluation of brokers by using qualitative analysis, so to help in the selection of the more suitable brokers according to the given scenario and needs. The methodology uses the quality reference model described on the ISO/IEC 25010 normative from the SQuaRE set of standards published by the ISO/IEC conjunction. In the implementation case we developed the proposal with 9 different open source brokers so to validate the applicability and feasibility of our methodology.

Artigos de Conferência, Publicação

Adjusting group communication in dense internet of things networks with heterogeneous energy sources

/

Internet-of-Things (IoT) environments will have a large number of nodes organized into groups to collect and to disseminate data. In this sense, one of the main challenges in IoT environments is to dynamically manage communication characteristics of IoT devices to decrease congestion, traffic collisions, and excessive data collection, as well as to balance the use of energy resources. In this paper, we introduce an energy-efficient and reliable Self Adjusting group communication of dense IoT Network, called SADIN. It configures the communication settings to ensure a dynamic control of IoT devices considering a comprehensive set of aspects, ie, traffic loss, event relevance, amount of nodes with renewable batteries, and the number of observers. Specifically, SADIN changes the communication interval, the number of data producers, the reliability level of the network. Extensive evaluation results show that SADIN improves system performance in terms of message loss, energy consumption, and reliability compared to state-of-the-art protocol.

Artigos de Conferência, Publicação

Towards High Energy Efficiency in the Internet of Things

/

Internet of Things (IoT) protocols provide the fundamental mechanisms to collect data from low power devices and lossy networks. IoT protocols collect data blocks from the devices in messages that have one header and a single payload, regardless the size of the payload. This paper presents a solution to collect small size data blocks from low power devices in an efficient way, carrying these data blocks in the payload of a single message. Current solutions do not offer manners to gather many small blocks of data and reduce the overhead of the communication. The proposed solution is a light-weight layer designed to operate with the standard IoT protocol stack aiming to reduce the energy consumption of the energy constrained devices without lowering the data accuracy. The proposed solution was developed in Contiki devices and the measurements conducted on a testbed showed up to 14% energy savings.

Artigos de Conferência, Publicação

Uma Política de Inserção de Conteúdo baseada na Correlação entre Medidas de Centralidade para Redes Centradas em Conteúdo

/

O cache em rede é uma importante característica de Redes Centrada em Conteúdo (RCCs). A escolha dos nodos que armazenarão o conteúdo é um grande desafio e uma boa maneira de fazer isso é através de medidas de centralidade de rede, que descrevem a importância de um nodo, dada uma característica. Entretanto, o grande número de medidas torna a escolha dos nodos ainda mais desafiadora, pois é incerto se uma medida escolhida resultará num alto desempenho em diferentes cenários, dada a sua forte dependência da estrutura topológica. Por conta disso, uma boa alternativa seria considerar a correlação entre elas para selecioná-los. Neste trabalho, propõe-se uma política de inserção de conteúdo baseada na correlação entre medidas de centralidade para selecionaráquelas forte ou mais fortemente correlacionadas para armazenar o conteúdo nos seus nodos correspondentes. Por meio de simulação e utilizando uma boa variedade de topologias nos testes, nossa proposta superou o desempenho das políticas de inserção em termos de taxa de acertos de conteúdo e tempo médio de download.

Artigos de Conferência, Publicação

FI-MApp: a web application for managing FI-WARE environments in internet of things

/

The FI-WARE project aims to create a core platform for the Future Internet. However, such a platform has failed to promote the centralization of its services, since it did not offer a unified development framework. In addition, it demands a great effort to use the platform, due to extensive, disordered and scattered documentation. In this context, the present work explored the FI-WARE service for enabling the Internet of Things (IoT). The main goal was to develop a Web application for an integrated visualization and management of the resources offered by FI-WARE IoT enabling services. Called FI-MApp, the proposed Web application acts as a bridge (middleware) between the FI-WARE IoT service and its managers. FI-MApp is shown as suitable solution in this scenario because the FI-WARE APIs have already been implemented following the RESTful Web service architecture. Through its simple and intuitive user interface, the FI-MApp Web application make it easy for both managing and visualizing FI-WARE IoT environments from different parts of the world by offering features, such as registering new IoT devices and data collection from both real and virtual sensors.

Artigos de Conferência, Publicação

A Two-Tier Adaptive Data Aggregation Approach for M2M Group-Communication

/

Network lifetime is the time interval in which the nodes are operational. Considering that machine-to-machine (M2M) devices have limited energy resources, an important challenge in M2M communications is to prolong the network lifetime. The constrained application protocol (CoAP) supports multi-target monitoring applications in M2M communications, allowing the creation and maintenance of groups, as well as their periodic communication. It is essential to aggregate the CoAP group-communication over the paths to increase the network lifetime of low-power M2M devices, since data aggregation reduces the use of energy-consuming hardware (e.g., central processing unit and wireless interface). However, the current data aggregation solutions do not specify how to support data aggregation with multiple CoAP-based groups in multi-target monitoring applications. In this paper, the proposed approach, called two-tier aggregation for multi-target applications (TTAMAs), aggregates the data originated from nodes belonging to either the same or different CoAP groups. Furthermore, TTAMA is an adaptive solution because it performs the data aggregation in accordance with the CoAP configurations, such as communication periodicity and data aggregation functions. We compare TTAMA with current data aggregation approaches that use minimum spanning tree and shortest path tree. The results show that TTAMA outperforms the related works in terms of network lifetime and energy consumption.

Artigos de Conferência, Publicação

Ipsflow–uma proposta de sistema de prevençao de intrusao baseado no framework openflow

/

The ideal Intrusion Prevention System (IPS) is the one that detects malicious traffic across the network and blocks it at its source. Conventional IPSs do not meet these requirements satisfactorily, because when operating in active mode cannot have a wide coverage on the network and just block the passing traffic. And while catching mirrored traffic, it can only block it when working together with switches from the same solution or vendor. In this scenario, this paper presents IPSFlow, an IPS solution for selective and distributed capture with automated blocking of malicious traffic based on OpenFlow.

Artigos de Conferência, Publicação

A mobile qoe architecture for heterogeneous multimedia wireless networks

/

One of the main requirements in this emerging wireless multimedia era is the Quality of Experience (QoE) assurance for 2D or 3D video applications in heterogeneous multi-operator environments. Therefore, this paper proposes a QoE Architecture for Heterogeneous Multimedia Wireless Networks, called QoEHand. QoEHand extends the Media Independent Handover (MIH)/IEEE 802.21 proposal with QoEawareness, seamless mobility, dynamic class of service mapping and a set of content adaptation schemes. The proposed solution allows the best connection and considers the QoE needs of mobile clients and available wireless resources in IEEE 802.11e and IEEE 802.16e service classes. Simulation experiments were carried out to show the impact and benefits of QoEHand on the user´s perception, by using objective and subjective QoE metrics.

Artigos de Conferência, Publicação

Real-time QoE prediction for multimedia applications in wireless mesh networks

/

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 quality level on multimedia applications as perceived by end-users. However, existing real-time assessment schemes for WMNs are not capable of capturing the actual quality of received multimedia content with regard to user perception. Therefore, it is not possible to assure the user experience of content services. To address this problem, this paper introduces the Hybrid Quality of Experience (HyQoE) Prediction, which is a quality estimator specially designed to assess realtime multimedia applications. HyQoE is designed based on the framework of the widely used Pseudo-Subjective Quality Assessment (PSQA) Tool which exploits Random Neural Network (RNN). Crucial extension work has been implemented to achieve our objectives. A performance evaluation verifies the effectiveness and advantages of HyQoE in predicting users’ perception of multimedia content in WMNs over existing subjective and hybrid methods.

Artigos de Conferência, Publicação

Video quality estimator for wireless mesh networks

/

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 the quality of video delivery and optimize their network resources, while increasing the user satisfaction. However, the development of in-service Quality of Experience (QoE) estimation schemes for Internet videos (e.g., real-time streaming and gaming) with different complexities, motions, Group of Picture (GoP) sizes and contents remains a significant challenge and is crucial for the success of wireless multimedia systems. To address this challenge, we propose a real-time quality estimator approach, HyQoE, for real-time multimedia applications. The performance evaluation in a WMN scenario demonstrates the high accuracy of HyQoE in estimating the Mean Opinion Score (MOS). Moreover, the results highlight the lack of performance of the well-known objective methods and the Pseudo-Subjective Quality Assessment (PSQA) approach.

Artigos de Conferência, Publicação

A parametric QoE video quality estimator for Wireless Networks

/

The development of real-time quality estimator schemes for emerging Internet videos with different content types remains a significant challenge and is crucial for the success of wireless multimedia systems. However, currently in-service assessment schemes fail in capturing subjective aspects of multimedia content related to the user perception. Therefore, this paper proposes an on-the-fly parametric video quality estimator approach (called MultiQoE) for real-time video streaming applications. Experiments in a Wireless Mesh Network (WMN) scenario were carried out to show the accuracy, benefit, and impact of MultiQoE compared to widely used Quality of Experience (QoE) subjective, objective and parametric methods.

Artigos de Conferência, Publicação

A hybrid prediction and assessment quality of experience approach for videostreaming applications over wireless mesh networks

/

As Wireless Mesh Networks (WMNs) have been increasingly deployed, the need of new quality measurement schemes became essential since operators want to control and optimize their network resources, while keeping users of multimedia applications with a good quality level. However, currently WMN in-service assessment schemes fails in capturing subjective aspects of real-time multimedia content related to the user perception. Therefore, this paper proposes a new on-the-fly quality estimator approach, called Hybrid Quality of Experience (HyQoE) Prediction, for real-time videostreaming applications. Moreover, performance evaluation results present the benefits and accuracy of HyQoE in predicting the user perception compared to well-know subjective and objective methods in a WMN scenario.

Artigos de Conferência, Publicação

Mecanismo para aprovisionamento dinâmico e escalável em redes em malha sem fio para suporte de aplicações com alta demanda de recursos

/

The success of mobile and ubiquitous computing, coupled with the increasing demand for applications with high Quality of Service (QoS) and Quality of Experience (QoE) requirements, has brought great challenges to the future access networks. Thus, wireless mesh networks distinguish due to its flexibility, redundancy, low-cost and broadband capacity. However, aspects as scalability, availability and reliability, are still challenging. Following the limitations of existing proposals, this paper proposes the Multi-Service Resource Allocation in Wireless Mesh Networks (MIRA-WMN) for provisioning resources of wireless mesh networks compliant with IEEE 802.11 e/s standard. The MIRA-WMN proposes a single solution to integrate QoS control and connectivity resources to support multi-user sessions with high requirements. The MIRA-WMN was evaluated by simulations, which demonstrated its benefits in the data and control plane, as well as user’s perception.

Artigos de Conferência, Publicação

A multimedia-based fuzzy queue-aware routing approach for wireless mesh networks

/

The proliferation of multimedia content and Wireless Mesh Networks (WMNs) are changing the Internet facilities and life style of fixed and mobile users. For the success of the next generation wireless networks, novel multimedia approaches with quality level assurance are required to allow the distribution of video-streaming, video conference, gaming, multimedia social networking, green multimedia content and other entrainment applications for thousand of users in ubiquitous wireless (mesh) systems. In this context, new routing schemes are needed to provide end-to-end Quality of Service (QoS) and Quality of Experience (QoE) support for delay/loss/jitter-sensitive multimedia applications in WMNs. The well-known OLSR (Optimized Link State Routing) protocol with ETX (Expected Transmission Count) metric bring many benefits for the path selection process, but present a drawback in the queue availability management and reduce the system performance. Therefore, multimedia-related packets will suffer with loss/delay/jitter and the system overall performance will decrease. This paper proposes the Queue-based OLSR ETX (QoETX) approach to overcome the limitations of OLSR-ETX regarding queue availability by using a cross-layer scheme and supporting QoS and QoE assurance. QoETX optimizes network and user-based parameters by coordinating queue availability, QoS and fuzzy issues in the routing decision process as a way to allocate the best paths for multimedia applications. In order to present the benefits of the proposed solution compared with existing routing schemes, namely OLSR-ETX, OLSR-FLC, OLSR-MD and HWMP (IEEE 802.11s standard), regarding QoS (block probability and throughput) and QoE (PSNR, SSIM, VQM and MOS) parameters, performance evaluations were carried by using the Network Simulator (NS-2.34).

Artigos de Conferência, Publicação

Abaré: Um framework para implantação, monitoramento e gerenciamento coordenado e autônomo para redes em malha sem fio

/

The Wireless Mesh Networks (WMNs) have been gaining ground as a solution to provide last mile indoors and outdoors Internet access, because of their technical and economic feasibility. However, the existence of open source and proprietary approaches that are not interoperable and the delay in the standardization process make deployment of a large-scale WMN timeconsuming and complex. This paper presents an extension of the framework Abaré with autonomic capability and performance evaluation results regarding load balance issues. Abaré defines a set of components and practices in order to optimize the implementation and management of WMN systems, as well as to provide autonomic features in routers to decrease and facilitate the manager workload.

Artigos de Conferência, Publicação

Um Framework para Gerenciamento da Comunicação de Múltiplos Recursos e Observadores em Internet das Coisas

/

As plataformas IoT desempenham um papel central na arquitetura IoT, pois facilitam o desenvolvimento de serviços e aplicações. As plataformas IoT devem satisfazer os múltiplos requisitos das aplicações e preferências dos clientes, mas também devem evitar o consumo dos escassos recursos dos dispositivos IoT. Este artigo propõe um framework chamado OBSERVICE que visa suportar o gerenciamento da comunicação em ambientes IoT envolvendo múltiplas partes interessadas (observadores) em consumir dados IoT de vários produtores. O framework proposto permite que várias entidades, isto é usuários, especifiquem simultaneamente suas preferências de comunicação. A implementação do framework teve a compatibilidade com a web como prioridade, além do reuso de código, ferramentas de código aberto e a integração com código real embarcado em dispositivos IoT. Os resultados dos testes de validação mostram que o OBSERVICE é capaz de gerenciar a comunicação envolvendo múltiplas entidades e dispositivos IoT, com baixo consumo de recursos e melhora em aspectos de gerência de redes.

Artigos de Conferência, Publicação

Modularized and Contract-Based Prediction Models in Programmable Networks

/

Network traffic engineering aims at the network quality, optimizing routes and detecting network attacks. In this context, traffic prediction is an essential tool to capture the underlying behavior of a network. Therefore, this work proposes a modularization architecture for volumetric prediction models, allowing switching between models and setups at runtime in controllers of Software Defined Networks (SDN), dealing with short time series and delivering the data already processed for the prediction. The proposed architecture compares the results from four traditional predictors based on short-range time dependency.

Artigos de Conferência, Publicação

Sistema híbrido e on-line de detecção e classificação de tráfego malicioso

/

Several Machine Learning methodologies have been proposed to improve security in computer networks and reduce the damage caused by the action of malicious agents. However, detecting and classifying attacks with high accuracy and precision is still a major challenge in today’s networks. This paper proposes an online attack detection and network traffic classification system, which hybridly combines Stream Machine Learning, Deep Learning, and Ensemble technique. Using multiple stages of data analysis, the system can detect the presence of malicious traffic flows and classify them according to the type of attack they represent. The system was evaluated in three network security datasets, in which it obtained accuracy and precision above 90% with a reduced false alarm rate.

Artigos de Conferência, Publicação

Deconn: Combining minimum and neutral energy consumption strategies in iot networks

/

In Low-Power Internet-of-Things (IoT), energy provisioning is often heterogeneous, meaning that nodes with rechargeable and non-rechargeable batteries coexist and collaborate to support data communication. Non-rechargeable nodes pose the requirement of minimum energy consumption for maximizing their network lifetime. Nodes powered by rechargeable batteries, in turn, must foster neutral energy consumption to avoid battery depletion and overflow. In this context, keeping one subset of nodes in neutral consumption and another subset in minimum consumption while maintaining proper network operation is a complex challenge to solve. To tackle this problem, we propose in this paper the Dual Energy COnsumption for interNet-of-thiNgs (DECONN). DECONN is a distributed solution designed to combine minimum and neutral consumption for IoT networks with heterogeneous energy provision. Using DECONN, nodes with the lowest amount of energy determine the energy consumption of the nodes located in the communication path. We compare DECONN with current IoT low-power standard protocols, such as RPL and CoAP. The results achieved provide evidence that DECONN may outperform standard protocols regarding the amount of saved energy for non-rechargeable and time in neutral operation for rechargeable nodes

Artigos de Conferência, Publicação

Ominacs: Online ml-based iot network attack detection and classification system

/

Several Machine Learning (ML) methodologies have been proposed to improve security in Internet Of Things (IoT) networks and reduce the damage caused by the action of malicious agents. However, detecting and classifying attacks with high accuracy and precision is still a major challenge. This paper proposes an online attack detection and network traffic classification system, which combines stream Machine Learning, Deep Learning, and Ensemble Learning technique. Using multiple stages of data analysis, the system can detect the presence of malicious traffic flows and classify them according to the type of attack they represent. Furthermore, we show how to implement this system both in an IoT network and from an ML point of view. The system was evaluated in three IoT network security datasets, in which it obtained accuracy and precision above 90% with a reduced false alarm rate.

Artigos de Conferência, Publicação

Estimação de Largura de Banda em Redes PLC

/

Estimar a largura de banda em uma rede de computadores é necessário em aplicações multimídia, controladores de Qualidade de Serviço (QoS) e protocolos de controle e reserva de recurso. Métodos largamente usados em redes sem fio ou cabeadas tradicionais não são aplicáveis em redes PLC (Power Line Communications). Este trabalho apresenta uma proposta para estimar a largura de banda em redes PLC com medições realizadas em cenário real, utilizando envio de pares de pacotes ICMP (Internet Control Message Protocol) e obtendo resultados de forma simples, precisa e com baixo nível de intrusão na rede.

Artigos de Conferência, Publicação

Log analysis based mechanism fornetwork security incidents identification

/

The increasing use and importance of networks in today’s economic and social context have also led to a rise in the number of malicious activities that violate privacy and security policies of institutional networks. There are several approaches aimed at detecting such activities, such as the use of intrusion detection systems. The goal of this paper is to present an alternative approach to detecting malicious activities based on querying and correlating the events recorded in system logs. The purpose of this approach is to identify the hosts responsible for these malicious activities. Experiments conducted at the Brazilian National Research and Educational Network’s Point of Presence in the State of Pará have shown that this proposal can accurately detect the hosts responsible for malicious activities while requiring low computational resources.

Artigos de Conferência, Publicação

Performance analysis of Ethernet passive optical networks with high load through a hybrid analytical/simulated model

/

This paper presents a hybrid analytical/simulated model to analyze the performance of upstream flows in Ethernet Optical Passive Networks (EPON) based on frame’s total delay. The modeling was done using Stochastic Colored Petri Networks (SCPN), from where the average queue size is obtained. Then, this average is used to analytically obtain the total delay. An improvement in the scheduling strategy based on weights of classes of traffic (CoS) is also proposed so as not to penalize too much the best-effort (BE) class type.

Artigos de Conferência, Publicação

A multiple-metric approach for routing in wireless mesh networks

/

We present a multiple-metric approach in order to improve routing in Wireless Mesh Networks (WMNs). It is based on the proactive Optimized Link State Routing (OLSR) protocol to deal with applications with high Quality of Service (QoS) demands. Since routing with multiple metrics is an NPcomplete problem, we use the Analytic Hierarchy Process (AHP) and Pruning techniques to perform such routing. The proposal, dubbed here OLSR-MM (Multiple-Metric), offers the best available routes based on the considered metrics and is evaluated on Network Simulator 2.31.

Artigos de Conferência, Publicação

Abare: A Deployment and Management Framework for Wireless Mesh Network

/

The adoption of wireless mesh networks as a solution for access networks in indoor and outdoor environments is considered by the academic community and industry as a good alternative for Internet access due to their economic and technical feasibility. However, the existence of proprietary and opensource solutions that are not interoperable and the delay in the standardization makes the deployment of wide scale wireless mesh networks a time consuming task and it may come along with some security problems. In this paper, we propose Abare, a framework which defines a set of components and steps to aid in the deployment and administration of mesh networks since its inception.