Glaucio H. S. Carvalho - IEEE Xplore Author Profile

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Author details

Glaucio H. S. Carvalho

Also published under: Glaucio Carvalho, Glaucio H. Carvalho

Publications

36

Citations

170

Publications by Year

20062024

Co-Authors:

Adel AbusittaAli AlnomanAlagan AnpalaganAmarpreet BamrahLeonard Barolli

Show All Co-Authors (42)

Glaucio H. S. Carvalho

Also published under: Glaucio Carvalho, Glaucio H. Carvalho

Affiliation

Department of Computer Science and Engineering

Brock University

St. Catharines, ON, Canada

Publication Topics

Denial Of Service,
Intrusion Detection System,
5G Networks,
Distributed Denial Of Service,
Internet Of Things,
Vehicular Networks,
Convolutional Neural Network,
Cumulative Time,
Deep Learning,
High Mobility,
Intrusion Detection,
Long Short-term Memory

Biography

Glaucio H.S. Carvalho (glauciohscarvalho@gmail.com) is a postdoctoral fellow in the Department of Computer Science at Ryerson University. He received his Ph.D. in electrical engineering from Federal University of Para (UFPA), Brazil, in 2005. He worked as a professor at UFPA from 2005 to 2015 in the Department of Computer Science. Dr. Carvalho's research interests include the design, analysis, and optimization of 5G systems, Internet of Things, (mobile) cloud computing, soft-ware-defined networking, network function virtualization, online social networks, and green IT.(Based on document published on 26 May 2017).

Publications

36

Citations

170

Publications by Year

20062024

Co-Authors:

Adel Abusitta
Ali Alnoman
Alagan Anpalagan
Amarpreet Bamrah
Leonard Barolli

Show All Co-Authors (42)

Author's Published Works

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Showing 1-25 of 36 results

Conferences (25)

Journals (10)

Magazines (1)

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Isaac Woungang(24)
Glaucio H. S. Carvalho(21)
Alagan Anpalagan(18)
Glaucio H.S. Carvalho(12)
Issa Traore(7)
Department of Computer Science, Ryerson University, Toronto, ON, Canada(10)
Department of Electrical and Computer Engineering, Ryerson University, Toronto, ON, Canada(9)
Department of Computer Science and Engineering, Brock University, St. Catharines, ON, Canada(6)
Department of Electrical and Computer Engineering, Ryerson University, Toronto, Canada(5)
Department of Computer Science, Ryerson University, Toronto, Canada(5)
IEEE Systems Journal(3)
2006 International Telecommunications Symposium(2)
2024 IEEE International Conference on Cyber Security and Resilience (CSR)(2)
2024 IEEE Virtual Conference on Communications (VCC)(2)
2006 IEEE Ninth International Symposium on Spread Spectrum Techniques and Applications(1)
IEEE(36)
Fortaleza, Brazil(2)
Fukuoka, Japan(2)
London, United Kingdom(2)
NY, USA(2)
Athens, Greece(1)
Wireless Networks(13)
Service Class(12)
Mobile Network Operators(11)
Intrusion Detection System(10)
Virtual Machines(10)

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ConvLSTMTransNet: A Hybrid Deep Learning Approach for Internet Traffic Telemetry

Sajal Saha;Saikat Das;Glaucio H.S. Carvalho

2024 IEEE Virtual Conference on Communications (VCC)

Year: 2024 | Conference Paper |

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In this paper, we present a novel hybrid deep learning model, named ConvLSTMTransNet, designed for time series prediction, with a specific application to internet traffic telemetry. This model integrates the strengths of Convolutional Neural Networks (CNNs), Long Short-Term Memory (LSTM) networks, and Transformer encoders to capture complex spatial-temporal relationships inherent in time series da...Show More

ConvLSTMTransNet: A Hybrid Deep Learning Approach for Internet Traffic Telemetry

Sajal Saha;Saikat Das;Glaucio H.S. Carvalho

2024 IEEE Virtual Conference on Communications (VCC)

Year: 2024 | Conference Paper |

Generative Adversarial Networks for IoT Security: A Convolutional Neural Network Approach

Brandon Fernandez;Hafiz Yasir Noor;Isaac Woungang;Glaucio H.S. Carvalho

2024 IEEE Virtual Conference on Communications (VCC)

Year: 2024 | Conference Paper |

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The integration of Internet of Things (IoT) devices across various sectors has brought significant advancements but has also heightened security vulnerabilities. To address these challenges, it is essential to develop efficient and accurate detection systems for malicious network traffic at the packet level. This paper presents a novel approach utilizing a Convolutional Neural Network (CNN)-based ...Show More

Generative Adversarial Networks for IoT Security: A Convolutional Neural Network Approach

Brandon Fernandez;Hafiz Yasir Noor;Isaac Woungang;Glaucio H.S. Carvalho

2024 IEEE Virtual Conference on Communications (VCC)

Year: 2024 | Conference Paper |

Regression and Deep Learning for Proactive Density-aware 5G Handovers in Vehicular Networks

Mubashir Murshed;Glaucio H. S. Carvalho;Robson E. De Grande

GLOBECOM 2024 - 2024 IEEE Global Communications Conference

Year: 2024 | Conference Paper |

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5G technology offers high bandwidth, stability, and reliability among connected vehicles, which is necessary for increasing data sharing in intelligent transportation. While providing these benefits with its small cellular range and densification, it also presents a challenge in frequent handovers (HOs). This issue can result in unnecessary HO, HO failures, and ping-pong effects, negatively impact...Show More

Regression and Deep Learning for Proactive Density-aware 5G Handovers in Vehicular Networks

Mubashir Murshed;Glaucio H. S. Carvalho;Robson E. De Grande

GLOBECOM 2024 - 2024 IEEE Global Communications Conference

Year: 2024 | Conference Paper |

Vehicular Network Security Against RF Jamming: An LSTM Detection System

Mubashir Murshed;Afrin Jubaida;Robson E. de Grande;Glaucio H.S. Carvalho

2024 IEEE International Conference on Cyber Security and Resilience (CSR)

Year: 2024 | Conference Paper |

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The evolution of Intelligent Transportation Systems has ushered in a new era, offering extensive safety and comfort services through Vehicular Networks (VNs). With connected vehicles generating and disseminating vast amounts of data, encompassing critical safety and traffic information, the vulner-ability of VNs to Radio Frequency (RF) jamming has emerged as a significant concern, specially for in...Show More

Vehicular Network Security Against RF Jamming: An LSTM Detection System

Mubashir Murshed;Afrin Jubaida;Robson E. de Grande;Glaucio H.S. Carvalho

2024 IEEE International Conference on Cyber Security and Resilience (CSR)

Year: 2024 | Conference Paper |

Deep Graph Learning for DDoS Detection and Multi-Class Classification IDS

Braden J. Saunders;Robson E. de Grande;Glaucio H.S. Carvalho;Isaac Woungang

2024 IEEE International Conference on Cyber Security and Resilience (CSR)

Year: 2024 | Conference Paper |

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Critical infrastructure systems have been preyed on by cyber criminals that target to disrupt their operations and national security. Among the most nefarious attacks, the Distributed Denial of Service (DDoS) attack is wreaking havoc on the Telecommunications sector. This paper invests in the vision that Artificial Intelligence (AI) plays an important role in shoring up the cybersecurity of critic...Show More

Deep Graph Learning for DDoS Detection and Multi-Class Classification IDS

Braden J. Saunders;Robson E. de Grande;Glaucio H.S. Carvalho;Isaac Woungang

2024 IEEE International Conference on Cyber Security and Resilience (CSR)

Year: 2024 | Conference Paper |

Ensemble SARSA and LSTM for User-Centric Handover Decisions in 5G Vehicular Networks

Mubashir Murshed;Glaucio H. S. Carvalho;Robson E. De Grande

IEEE Transactions on Intelligent Transportation Systems

Year: 2024 | Volume: 25, Issue: 12 | Journal Article |

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5G and vehicular networks have enabled Intelligent Transportation Systems (ITS) with better safety and infotainment services where connected vehicles are critical components for data sharing. However, a stable connection is mandatory to transmit data successfully across the network. The 5G technology enhances bandwidth, stability, and reliability but suffers from low communication ranges, which re...Show More

Ensemble SARSA and LSTM for User-Centric Handover Decisions in 5G Vehicular Networks

Mubashir Murshed;Glaucio H. S. Carvalho;Robson E. De Grande

IEEE Transactions on Intelligent Transportation Systems

Year: 2024 | Volume: 25, Issue: 12 | Journal Article |

Ultra-Density Aware Learning-Based Handover Management in High-Mobility 5G Vehicular Networks

Mubashir Murshed;Glaucio H. S. Carvalho;Robson E. De Grande

ICC 2024 - IEEE International Conference on Communications

Year: 2024 | Conference Paper |

Cited by: Papers (1)

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Ensuring connection stability is crucial for both vehicular safety and user experience. With the increasing amount of data sharing among connected vehicles, there is a need for more bandwidth, stability, and reliability. While 5G technology can offer these benefits with its small cellular range and densification, it also presents a challenge in frequent handovers (HOs). This issue can result in un...Show More

Ultra-Density Aware Learning-Based Handover Management in High-Mobility 5G Vehicular Networks

Mubashir Murshed;Glaucio H. S. Carvalho;Robson E. De Grande

ICC 2024 - IEEE International Conference on Communications

Year: 2024 | Conference Paper |

A Graph Convolutional Networks-Based DDoS Detection Model

Braden J. Saunders;Patrice Kisanga;Glaucio H.S. Carvalho;Isaac Woungang

2024 IEEE International Systems Conference (SysCon)

Year: 2024 | Conference Paper |

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Network attacks have exponentially increased over the last years and, seriously, impacting fundamental aspects of our modern society at all levels, i.e., individual, critical infrastructure, and national security. To counterattack these cyber threats, several approaches for detecting or preventing them have been investigated. Ultimately, these approaches culminated in the design and development of...Show More

A Graph Convolutional Networks-Based DDoS Detection Model

Braden J. Saunders;Patrice Kisanga;Glaucio H.S. Carvalho;Isaac Woungang

2024 IEEE International Systems Conference (SysCon)

Year: 2024 | Conference Paper |

Adaptive User-centric Virtual Cell Handover Decision-making in 5G Vehicular Networks

Mubashir Murshed;Glaucio H. S. Carvalho;Robson E. de Grande

ICC 2023 - IEEE International Conference on Communications

Year: 2023 | Conference Paper |

Cited by: Papers (3)

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Connected vehicles enable massive data sharing and support intelligent transportation services. Consequently, a stable connection is compulsory to transmit across the network successfully, where 5G technology introduces more bandwidth, stability, and reliability. However, 5G communication is susceptible to frequent handovers and connection drops. A user-centric perspective helps cope with the smal...Show More

Adaptive User-centric Virtual Cell Handover Decision-making in 5G Vehicular Networks

Mubashir Murshed;Glaucio H. S. Carvalho;Robson E. de Grande

ICC 2023 - IEEE International Conference on Communications

Year: 2023 | Conference Paper |

Network Anomaly Detection Using a Graph Neural Network

Patrice Kisanga;Isaac Woungang;Issa Traore;Glaucio H. S. Carvalho

2023 International Conference on Computing, Networking and Communications (ICNC)

Year: 2023 | Conference Paper |

Cited by: Papers (9)

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Contrary to the many traditional network security approaches that focus on volume-based threats, the Activity and Event Network (AEN) is a new approach built on a graph model, which addresses both volumetric attacks and long-term threats that traditional security tools cannot deal with. The AEN graph structural foundation can serve as a basis to construct a graph to be used in Graph Neural Network...Show More

Network Anomaly Detection Using a Graph Neural Network

Patrice Kisanga;Isaac Woungang;Issa Traore;Glaucio H. S. Carvalho

2023 International Conference on Computing, Networking and Communications (ICNC)

Year: 2023 | Conference Paper |

Admission and Placement Policies for Latency-Compliant Secure Services in 5G Edge–Cloud System

Glaucio H. S. Carvalho;Isaac Woungang;Alagan Anpalagan;Issa Traore

IEEE Systems Journal

Year: 2023 | Volume: 17, Issue: 2 | Journal Article |

Cited by: Papers (1)

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This article proposes an optimal admission and placement stochastic controller that inserts security and latency compliance in the operational aspects of edge–cloud system under a fifth generation (5G) deployment. The proposed mechanism uses the framework of semi-Markov decision making process and seeks for an optimal policy that efficiently allocates the virtual resources to secure and run the se...Show More

Admission and Placement Policies for Latency-Compliant Secure Services in 5G Edge–Cloud System

Glaucio H. S. Carvalho;Isaac Woungang;Alagan Anpalagan;Issa Traore

IEEE Systems Journal

Year: 2023 | Volume: 17, Issue: 2 | Journal Article |

Incentivized Security-Aware Computation Offloading for Large-Scale Internet of Things Applications

Talal Halabi;Adel Abusitta;Glaucio H.S. Carvalho;Benjamin C. M. Fung

2022 7th International Conference on Smart and Sustainable Technologies (SpliTech)

Year: 2022 | Conference Paper |

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With billions of devices already connected to the network's edge, the Internet of Things (IoT) is shaping the future of pervasive computing. Nonetheless, IoT applications still cannot escape the need for the computing resources available at the fog layer. This becomes challenging since the fog nodes are not necessarily secure nor reliable, which widens even further the IoT threat surface. Moreover...Show More

Incentivized Security-Aware Computation Offloading for Large-Scale Internet of Things Applications

Talal Halabi;Adel Abusitta;Glaucio H.S. Carvalho;Benjamin C. M. Fung

2022 7th International Conference on Smart and Sustainable Technologies (SpliTech)

Year: 2022 | Conference Paper |

Edge-Assisted Secure and Dependable Optimal Policies for the 5G Cloudified Infrastructure

Glaucio H.S. Carvalho;Isaac Woungang;Alagan Anpalagan;Issa Traore;Periklis Chatzimisios

ICC 2022 - IEEE International Conference on Communications

Year: 2022 | Conference Paper |

Cited by: Papers (2)

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This paper proposes an optimal admission and placement stochastic controller that inserts security and depend-ability in the operational aspects of edge-cloud system under a 5G deployment. The proposed mechanism uses the frame-work of Semi-Markov Decision Making Process (SMDP) and seeks for an optimal policy that efficiently allocates the virtual resources to secure and run the services across the...Show More

Edge-Assisted Secure and Dependable Optimal Policies for the 5G Cloudified Infrastructure

Glaucio H.S. Carvalho;Isaac Woungang;Alagan Anpalagan;Issa Traore;Periklis Chatzimisios

ICC 2022 - IEEE International Conference on Communications

Year: 2022 | Conference Paper |

Cloud Firewall Under Bursty and Correlated Data Traffic: A Theoretical Analysis

Glaucio H.S. Carvalho;Isaac Woungang;Alagan Anpalagan

IEEE Transactions on Cloud Computing

Year: 2022 | Volume: 10, Issue: 3 | Journal Article |

Cited by: Papers (9)

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Cloud firewalls stand as one of the major building blocks of the cloud security framework protecting the Virtual Private Infrastructure against attacks such as the Distributed Denial of Service (DDoS). In order to fully characterize the cloud firewall operation and gain actionable insights on the design of cloud security, performance models for the cloud firewall become imperative. In this article...Show More

Cloud Firewall Under Bursty and Correlated Data Traffic: A Theoretical Analysis

Glaucio H.S. Carvalho;Isaac Woungang;Alagan Anpalagan

IEEE Transactions on Cloud Computing

Year: 2022 | Volume: 10, Issue: 3 | Journal Article |

Optimal Security Risk Management Mechanism for the 5G Cloudified Infrastructure

Glaucio H. S. Carvalho;Isaac Woungang;Alagan Anpalagan;Issa Traore

IEEE Transactions on Network and Service Management

Year: 2021 | Volume: 18, Issue: 2 | Journal Article |

Cited by: Papers (5)

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This work proposes an optimal security risk management mechanism to holistically minimize the risks of a Denial of Service (DoS) attack and Service Level Agreement (SLA) violations that might unfold at the 5G edge-cloud ecosystem. Using the Semi-Markov Decision Process framework, a cyber risk-aware controller is designed to optimally decide on the admission, placement, and migration of a service t...Show More

Optimal Security Risk Management Mechanism for the 5G Cloudified Infrastructure

Glaucio H. S. Carvalho;Isaac Woungang;Alagan Anpalagan;Issa Traore

IEEE Transactions on Network and Service Management

Year: 2021 | Volume: 18, Issue: 2 | Journal Article |

Optimal Security-Aware Virtual Machine Management for Mobile Edge Computing Over 5G Networks

Glaucio H. S. Carvalho;Isaac Woungang;Alagan Anpalagan;Issa Traore

IEEE Systems Journal

Year: 2021 | Volume: 15, Issue: 3 | Journal Article |

Cited by: Papers (5)

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A secure execution of offloaded tasks in the 5G-driven mobile edge computing (MEC) deployment is critical for all societal sectors. To realize it, mobile network operators have to intelligently orchestrate virtual resources in multiple cloud layers to satisfy 5G security requirements. In this article, we formulate a secure virtual machine management (VMM) mechanism using the semi-Markov decision p...Show More

Optimal Security-Aware Virtual Machine Management for Mobile Edge Computing Over 5G Networks

Glaucio H. S. Carvalho;Isaac Woungang;Alagan Anpalagan;Issa Traore

IEEE Systems Journal

Year: 2021 | Volume: 15, Issue: 3 | Journal Article |

Optimal Security Cost for Latency-Aware Service Provisioning in Mobile Edge Computing

Glaucio H.S. Carvalho;Isaac Woungang;Alagan Anpalagan;Issa Traore

2020 International Conference on Communications, Computing, Cybersecurity, and Informatics (CCCI)

Year: 2020 | Conference Paper |

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This paper proposes a security-aware resource allocation mechanism for a multi-cloud orchestration over a 5G network. The proposed mechanism is formulated as a Semi-Markov Decision process (SMDP) model, where a security-driven cost structure is designed to minimize the cost of providing security services. The performance of the proposed mechanism is evaluated considering the probability of rejecti...Show More

Optimal Security Cost for Latency-Aware Service Provisioning in Mobile Edge Computing

Glaucio H.S. Carvalho;Isaac Woungang;Alagan Anpalagan;Issa Traore

2020 International Conference on Communications, Computing, Cybersecurity, and Informatics (CCCI)

Year: 2020 | Conference Paper |

When Agile Security Meets 5G

Glaucio H. S. Carvalho;Isaac Woungang;Alagan Anpalagan;Issa Traore

Year: 2020 | Volume: 8 | Journal Article |

Cited by: Papers (7)

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5G is a critical infrastructure that will connect the whole society and bridge other critical infrastructure systems. Thus, cybersecurity emerges as crucial tenet within the 5G pathway. In this article, we discuss the concept of agile security within a 5G infrastructure taking into account two of its major technologies: Mobile Edge Computing (MEC) and Network Functions Virtualization (NFV). In thi...Show More

When Agile Security Meets 5G

Glaucio H. S. Carvalho;Isaac Woungang;Alagan Anpalagan;Issa Traore

Year: 2020 | Volume: 8 | Journal Article |

Mobile Cloud Storage Over 5G: A Mechanism Design Approach

Richa Siddavaatam;Isaac Woungang;Glaucio H. S. Carvalho;Alagan Anpalagan

IEEE Systems Journal

Year: 2019 | Volume: 13, Issue: 4 | Journal Article |

Cited by: Papers (8)

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In order to meet the increasing demand for the data storage, 5G wireless networks embodying mobile edge computing (MEC) features arise as a compelling solution. In this paper, the dense heterogeneous network (HetNet) and the MEC infrastructure are exploited to propose a mobile cloud storage framework that minimizes the data transmission delay. The proposed framework is composed of two parts: A dat...Show More

Mobile Cloud Storage Over 5G: A Mechanism Design Approach

Richa Siddavaatam;Isaac Woungang;Glaucio H. S. Carvalho;Alagan Anpalagan

IEEE Systems Journal

Year: 2019 | Volume: 13, Issue: 4 | Journal Article |

Energy Efficiency on Fully Cloudified Mobile Networks: Survey, Challenges, and Open Issues

Ali Alnoman;Glaucio H. S. Carvalho;Alagan Anpalagan;Isaac Woungang

IEEE Communications Surveys & Tutorials

Year: 2018 | Volume: 20, Issue: 2 | Journal Article |

Cited by: Papers (37)

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Fully cloudified mobile network infrastructure, which is featured by the joint deployment of heterogeneous cloud radio access networks and edge computing, will successfully cope with the data deluge by densely deploying virtualized wireless base stations and servers while providing the system design with high flexibility, reliability, availability, and scalability. On the other hand, the massive r...Show More

Energy Efficiency on Fully Cloudified Mobile Networks: Survey, Challenges, and Open Issues

Ali Alnoman;Glaucio H. S. Carvalho;Alagan Anpalagan;Isaac Woungang

IEEE Communications Surveys & Tutorials

Year: 2018 | Volume: 20, Issue: 2 | Journal Article |

A Semi-Markov Decision Model-based brokering mechanism for mobile cloud market

Glaucio H. S. Carvalho;Isaac Woungang;Alagan Anpalagan;Elena Degtiareva;Joel J. P. C. Rodrigues

2017 IEEE International Conference on Communications (ICC)

Year: 2017 | Conference Paper |

Cited by: Papers (2)

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As the multitude and complexity of the cloud market increases, the evaluation and selection of cloud services becomes a burdensome task for the users. With the extraordinary rise of available services from various Cloud Service Providers (CSPs), the role of cloud brokers has become more and more important. This paper proposes an optimal cloud broker model to address the challenge of optimally allo...Show More

A Semi-Markov Decision Model-based brokering mechanism for mobile cloud market

Glaucio H. S. Carvalho;Isaac Woungang;Alagan Anpalagan;Elena Degtiareva;Joel J. P. C. Rodrigues

2017 IEEE International Conference on Communications (ICC)

Year: 2017 | Conference Paper |

Intercloud and HetNet for Mobile Cloud Computing in 5G Systems: Design Issues, Challenges, and Optimization

Glaucio H.S. Carvalho;Isaac Woungang;Alagan Anpalagan;Muhammad Jaseemuddin;Ekram Hossain

Year: 2017 | Volume: 31, Issue: 3 | Magazine Article |

Cited by: Papers (20)

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Emerging 5G systems will feature a closer collaboration between mobile network operators and cloud service providers to meet the communication and computational requirements of modern mobile applications and services in a mobile cloud computing (MCC) environment. In this article, we show how the marriage between heterogeneous wireless networks (HetNets) and multiple clouds (a collection of which i...Show More

Intercloud and HetNet for Mobile Cloud Computing in 5G Systems: Design Issues, Challenges, and Optimization

Glaucio H.S. Carvalho;Isaac Woungang;Alagan Anpalagan;Muhammad Jaseemuddin;Ekram Hossain

Year: 2017 | Volume: 31, Issue: 3 | Magazine Article |

Efficient Ubiquitous Big Data Storage Strategy for Mobile Cloud Computing over HetNet

Richa Siddavaatam;Isaac Woungang;Glaucio Carvalho;Alagan Anpalagan

2016 IEEE Global Communications Conference (GLOBECOM)

Year: 2016 | Conference Paper |

Cited by: Papers (4)

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With the ever increasing data and computational demands from mobile users, heterogenous wireless networks (HetNets) and mobile cloud computing (MCC) have been advocated as a promising solution to meet these demands. Insufficient bandwidth is one of the most important challenges being faced by a successful implementation of the MCC technology due to heavy data traffic. The MCC implementation on Het...Show More

Efficient Ubiquitous Big Data Storage Strategy for Mobile Cloud Computing over HetNet

Richa Siddavaatam;Isaac Woungang;Glaucio Carvalho;Alagan Anpalagan

2016 IEEE Global Communications Conference (GLOBECOM)

Year: 2016 | Conference Paper |

A Centrality-Based History Prediction Routing Protocol for Opportunistic Networks

Amarpreet Bamrah;Isaac Woungang;Leonard Barolli;Sanjay Kumar Dhurandher;Glaucio H. S. Carvalho;Makoto Takizawa

2016 10th International Conference on Complex, Intelligent, and Software Intensive Systems (CISIS)

Year: 2016 | Conference Paper |

Cited by: Papers (2)

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In Opportunistic networks (OppNets), due to high mobility, short radio range, intermittent links, unstable topology, sparse connectivity, to name a few, routing is a very challenging task since it relies on cooperation between the nodes. This paper focuses on using the concept of centrality to alleviate this task. Unlike other nodes in the network, central nodes are those that are more likely to a...Show More

A Centrality-Based History Prediction Routing Protocol for Opportunistic Networks

Amarpreet Bamrah;Isaac Woungang;Leonard Barolli;Sanjay Kumar Dhurandher;Glaucio H. S. Carvalho;Makoto Takizawa

2016 10th International Conference on Complex, Intelligent, and Software Intensive Systems (CISIS)

Year: 2016 | Conference Paper |

An Energy-Efficient Routing Protocol for Infrastructure-Less Opportunistic Networks

Khuram Khalid;Isaac Woungang;Sanjay K. Dhurandher;Leonard Barolli;Glaucio H. S. Carvalho;Makoto Takizawa

2016 10th International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing (IMIS)

Year: 2016 | Conference Paper |

Cited by: Papers (10)

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In this paper, an energy-aware version of a recently proposed History-Based Prediction for Routing (HBPR) protocol for opportunistic networks (OppNets) called energy-efficient HBPR (AEHBPR) is proposed, which saves the energy consumption by avoiding unnecessary packets transmission in the network and by clearing the buffer of nodes carrying the copies of the already delivered packets. The proposed...Show More

An Energy-Efficient Routing Protocol for Infrastructure-Less Opportunistic Networks

Khuram Khalid;Isaac Woungang;Sanjay K. Dhurandher;Leonard Barolli;Glaucio H. S. Carvalho;Makoto Takizawa

2016 10th International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing (IMIS)

Year: 2016 | Conference Paper |

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