Delay Tolerant Networks and Applications, 2nd Edition

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Networks".

Deadline for manuscript submissions: closed (15 April 2024) | Viewed by 1950

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1. Polytechnic Institute of Castelo Branco, Av. Pedro Álvares Cabral No 12, 6000-084 Castelo Branco, Portugal
2. Instituto de Telecomunicações, Rua Marquês d’Ávila e Bolama, 6201-001 Covilhã, Portugal
Interests: mobility support for wireless sensor networks; Internet of Things; smart cities; smart farming
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Special Issue Information

Dear Colleagues,

Delay- and disruption-tolerant networking (DTN) is an active research area due to its importance and applicative potential in an extensive range of challenging scenarios and environments. DTNs comprise either only mobile nodes, or both fixed nodes and mobile nodes moving around and occasionally coming into each other's proximity. Communication opportunities are usually short and sporadic, thereby making node-to-node communications extremely challenging and resulting in a very slow data dissemination process. Potential DTN applications include, but are not limited to, interplanetary networks, vehicular networks, networks for emergency response, disaster recovery, military operations, environmental sensing, tracking and monitoring applications, and communications in remote and rural areas and developing countries.

This Special Issue aims to connect researchers, academicians, scientists, and students, and provide a platform that enables them to exchange their ideas, experiences, and latest research results on DTNs and their applications.

The topics of this Special Issue include, but are not limited to, the following:

  • Technologies and standards
  • Architectures, protocols, and algorithms
  • Data management and analytics
  • Network performance
  • Modeling and simulation
  • Prototypes, testbeds, and case studies
  • Applications
  • Security, privacy, and trust
  • Integration with infrastructure-based networks

Prof. Dr. Vasco N. G. J. Soares
Prof. Dr. Joel J. P. C. Rodrigues
Dr. João M. L. P. Caldeira
Guest Editors

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Keywords

  • delay-tolerant networks
  • disruption-tolerant networks (DTN)
  • opportunistic networks
  • network architecture
  • protocols
  • algorithms
  • prototype
  • testbed
  • simulation
  • modeling
  • application scenarios
  • applications

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Published Papers (2 papers)

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Research

18 pages, 4491 KiB  
Article
ML-Enhanced Live Video Streaming in Offline Mobile Ad Hoc Networks: An Applied Approach
by Manuel Jesús-Azabal, Vasco N. G. J. Soares and Jaime Galán-Jiménez
Electronics 2024, 13(8), 1569; https://doi.org/10.3390/electronics13081569 - 19 Apr 2024
Cited by 1 | Viewed by 639
Abstract
Live video streaming has become one of the main multimedia trends in networks in recent years. Providing Quality of Service (QoS) during live transmissions is challenging due to the stringent requirements for low latency and minimal interruptions. This scenario has led to a [...] Read more.
Live video streaming has become one of the main multimedia trends in networks in recent years. Providing Quality of Service (QoS) during live transmissions is challenging due to the stringent requirements for low latency and minimal interruptions. This scenario has led to a high dependence on cloud services, implying a widespread usage of Internet connections, which constrains contexts in which an Internet connection is not available. Thus, alternatives such as Mobile Ad Hoc Networks (MANETs) emerge as potential communication techniques. These networks operate autonomously with mobile devices serving as nodes, without the need for coordinating centralized components. However, these characteristics lead to challenges to live video streaming, such as dynamic node topologies or periods of disconnection. Considering these constraints, this paper investigates the application of Artificial Intelligence (AI)-based classification techniques to provide adaptive streaming in MANETs. For this, a software-driven architecture is proposed to route stream in offline MANETs, predicting the stability of individual links and compressing video frames accordingly. The proposal is implemented and assessed in a laboratory context, in which the model performance and QoS metrics are analyzed. As a result, the model is implemented in a decision forest algorithm, which provides 95.9% accuracy. Also, the obtained latency values become assumable for video streaming, manifesting a reliable response for routing and node movements. Full article
(This article belongs to the Special Issue Delay Tolerant Networks and Applications, 2nd Edition)
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18 pages, 797 KiB  
Article
Dynamic Co-Operative Energy-Efficient Routing Algorithm Based on Geographic Information Perception in Opportunistic Mobile Networks
by Tong Wang, Jianqun Cui, Yanan Chang, Feng Huang and Yi Yang
Electronics 2024, 13(5), 868; https://doi.org/10.3390/electronics13050868 - 23 Feb 2024
Cited by 1 | Viewed by 672
Abstract
Opportunistic mobile networks, as an important supplement to the traditional communication methods in unique environments, are composed of mobile communication devices. It is a network form that realizes message transmission by using the opportune encounter of these mobile communication devices. Consequently, mobile communication [...] Read more.
Opportunistic mobile networks, as an important supplement to the traditional communication methods in unique environments, are composed of mobile communication devices. It is a network form that realizes message transmission by using the opportune encounter of these mobile communication devices. Consequently, mobile communication devices necessitate periodic contact detection in order to identify potential communication opportunities, thereby leading to a substantial reduction in the already limited battery life of such devices. Previous studies on opportunistic networks have often utilized geographic information in routing design to enhance message delivery rate. However, the significance of geographic information in energy conservation has been overlooked. Furthermore, previous research on energy-efficient routing has lacked diversification in terms of the methods employed. Therefore, this paper proposes a dynamic co-operative energy-efficient routing algorithm based on geographic information perception (DCEE-GIP) to leverage geographic information to facilitate dynamic co-operation among nodes and optimize node sleep time through probabilistic analysis. The DCEE-GIP routing and other existing algorithms were simulated using opportunistic network environment (ONE) simulation. The results demonstrate that DCEE-GIP effectively extends network service time and successfully delivers the most messages. The service time of DCEE-GIP increased by 8.05∼31.11%, and more messages were delivered by 14.82∼115.9%. Full article
(This article belongs to the Special Issue Delay Tolerant Networks and Applications, 2nd Edition)
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