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Detalhes

Detalhes

  • Nome

    João Marco
  • Cluster

    Informática
  • Cargo

    Investigador Auxiliar
  • Desde

    22 dezembro 2016
001
Publicações

2020

e-LiteSense: Self-adaptive energy-aware data sensing in WSN environments

Autores
Silva, JM; Carvalho, P; Bispo, KA; Lima, SR;

Publicação
International Journal of Communication Systems

Abstract
Currently deployed in a wide variety of applicational scenarios, wireless sensor networks (WSNs) are typically a resource-constrained infrastructure. Consequently, characteristics such as WSN adaptability, low-overhead, and low-energy consumption are particularly relevant in dynamic and autonomous sensing environments where the measuring requirements change and human intervention is not viable. To tackle this issue, this article proposes e-LiteSense as an adaptive, energy-aware sensing solution for WSNs, capable of auto-regulate how data are sensed, adjusting it to each applicational scenario. The proposed adaptive scheme is able to maintain the sensing accuracy of the physical phenomena, while reducing the overall process overhead. In this way, the adaptive algorithm relies on low-complexity rules to establish the sensing frequency weighting the recent drifts of the physical parameter and the levels of remaining energy in the sensor. Using datasets from WSN operational scenarios, we prove e-LiteSense effectiveness in self-regulating data sensing accurately through a low-overhead process where the WSN energy levels are preserved. This constitutes a step-forward for implementing self-adaptive energy-aware data sensing in dynamic WSN environments. © 2019 John Wiley & Sons, Ltd.

2020

Towards a holistic semantic support for context-aware network monitoring: An ontology-based approach

Autores
Carvalho, P; Lima, SR; Sabucedo, LA; Santos Gago, JM; Silva, JMC;

Publicação
Computing

Abstract
Monitoring current communication networks and services is an increasingly complex task as a result of a growth in the number and variety of components involved. Moreover, different perspectives on network monitoring and optimisation policies must be considered to meet context-dependent monitoring requirements. To face these demanding expectations, this article proposes a semantic-based approach to support the flexible configuration of context-aware network monitoring, where traffic sampling is used to improve efficiency. Thus, a semantic layer is proposed to provide with a standard and interoperable description of the elements, requirements and relevant features in the monitoring domain. On top of this description, semantic rules are applied to make decisions regarding monitoring and auditing policies in a proactive and context-aware manner. Use cases focusing on traffic accounting and traffic classification as monitoring tasks are also provided, demonstrating the expressiveness of the ontology and the contribution of smart SWRL rules for recommending optimised configuration profiles. © 2020, Springer-Verlag GmbH Austria, part of Springer Nature.

2020

EAGP: An Energy-Aware Gossip Protocol for Wireless Sensor Networks

Autores
Ferreira, BC; Fonte, V; Silva, JMC;

Publicação
2020 International Conference on Software, Telecommunications and Computer Networks (SoftCOM)

Abstract

2020

Detection of Anonymised Traffic: Tor as Case Study

Autores
Dantas, B; Carvalho, P; Lima, SR; Silva, JMC;

Publicação
Lecture Notes in Computer Science - Internet of Things, Smart Spaces, and Next Generation Networks and Systems

Abstract

2019

An ontology-based recommendation system for context-aware network monitoring

Autores
Silva, RF; Carvalho, P; Rito Lima, S; Álvarez Sabucedo, L; Santos Gago, JM; Silva, JMC;

Publicação
Advances in Intelligent Systems and Computing

Abstract
Current network management systems urge for a context-aware perspective of the provided network services and the underlying infrastructure usage. This need results from the heterogeneity of services and technologies in place, and from the massive traffic volumes traversing today’s networks. To reduce complexity and improve interoperability, monitoring systems need to be flexible, context-aware, and able to self-configure measurement points (MPs) according to network monitoring tasks requirements. In addition, the use of sampling techniques in MPs to reduce the amount of traffic collected, analysed and stored has become mandatory and, currently, distinct sampling schemes are available for use in operational environments. In this context, the main objective of this paper is the ontological definition of measurement requirements and components in sampling-based monitoring environments, with the aim of supporting an expert recommendation system able to understand context and identify the appropriate configuration rules to apply to a selection of MPs. In this way, the ontology, defining management needs, network measurement topology and sampling techniques, is described and explored considering several network management activities. A use case focusing on traffic accounting as monitoring task is also provided, demonstrating the expressiveness of the ontology and the role of the recommendation system in assisting context-aware network monitoring based on traffic sampling. © Springer Nature Switzerland AG 2019.

Teses
supervisionadas

2020

AntiEgo: Protocolo Nash Equilibrium para Redes Ad Hoc com comportamentos Racionais

Autor
Paulo Jorge Machado Guedes

Instituição
UM

2020

A blockchain à luz da proteção de dados na promoção de transparência contra a corrupção na administração pública

Autor
Lucas Silvestre Cortizo

Instituição
UM

2019

Load Balancing Framework for Security in SDN context

Autor
Bruno Machado

Instituição
UM

2019

Energy-aware gossip protocol for Wireless Sensor Networks

Autor
Bruno Chianca Ferreira

Instituição
UM

2019

O uso de tecnologias (DLT) como ferramenta para a proteção de direitos de autor

Autor
Luís Felipe Miranda Ramos

Instituição
UM