Decentralised Interest Counter Aggregation for ICN in Disaster Scenarios

Seedorf, Jan; Kutscher, Dirk; Gill, Bilal

doi:10.1109/glocomw.2016.7848869

Cited by 8 publications

(5 citation statements)

References 5 publications

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“…Furthermore, the notion of ICN "data mules" [81,[83][84][85], which deliver information in a publish/subscribe manner to different fragments of the network with predetermined, fixed, or random paths, has also been examined. In this context, additional features have been introduced to ICN, such as scoping and prioritizing messages/interests according to specific attributes.…”

Section: Dtn-icn In Emergency Scenariosmentioning

confidence: 99%

“…In this context, additional features have been introduced to ICN, such as scoping and prioritizing messages/interests according to specific attributes. These attributes may include (i) user-defined priorities; (ii) content lifetime and validity [86]; (iii) criticality (e.g., broadcasting emergency messages [81] or the preprocessing and delivery of medical images for healthcare workers [87,88]); (iv) popularity [85]; or (v) reputation score [89].…”

Section: Dtn-icn In Emergency Scenariosmentioning

confidence: 99%

See 1 more Smart Citation

All about Delay-Tolerant Networking (DTN) Contributions to Future Internet

Koukis,

Safouri,

Tsaoussidis

2024

Future Internet

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Although several years have passed since its first introduction, the significance of Delay-Tolerant Networking (DTN) remains evident, particularly in challenging environments where traditional networks face operational limitations such as disrupted communication or high latency. This survey paper aims to explore the diverse array of applications where DTN technologies have proven successful, with a focus on emerging and novel application paradigms. In particular, we focus on the contributions of DTN in the Future Internet, including its contribution to space applications, smart cities and the Internet of Things, but also to underwater communications. We also discuss its potential to be used jointly with information-centric networks to change the internet communication paradigm in the future.

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Section: Dtn-icn In Emergency Scenariosmentioning

confidence: 99%

Section: Dtn-icn In Emergency Scenariosmentioning

confidence: 99%

All about Delay-Tolerant Networking (DTN) Contributions to Future Internet

Koukis,

Safouri,

Tsaoussidis

2024

Future Internet

View full text Add to dashboard Cite

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“…Hence, the application of this technique is not suitable in disaster scenarios where multiple IoT devices are deployed. Jan et al [54] propose the concept of a Delay Tolerant Network (DTN) with the help of ICN and are concerned more about handling disaster scenarios using the PULL scheme. In disaster situations, the movement of nodes is impulsive [13].…”

Section: Pull and Push Schemesmentioning

confidence: 99%

Named Data Networking for Efficient IoT-based Disaster Management in a Smart Campus

et al. 2020

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Disasters are uncertain occasions that can impose a drastic impact on human life and building infrastructures. Information and Communication Technology (ICT) plays a vital role in coping with such situations by enabling and integrating multiple technological resources to develop Disaster Management Systems (DMSs). In this context, a majority of the existing DMSs use networking architectures based upon the Internet Protocol (IP) focusing on location-dependent communications. However, IP-based communications face the limitations of inefficient bandwidth utilization, high processing, data security, and excessive memory intake. To address these issues, Named Data Networking (NDN) has emerged as a promising communication paradigm, which is based on the Information-Centric Networking (ICN) architecture. An NDN is among the self-organizing communication networks that reduces the complexity of networking systems in addition to provide content security. Given this, many NDN-based DMSs have been proposed. The problem with the existing NDN-based DMS is that they use a PULL-based mechanism that ultimately results in higher delay and more energy consumption. In order to cater for time-critical scenarios, emergence-driven network engineering communication and computation models are required. In this paper, a novel DMS is proposed, i.e., Named Data Networking Disaster Management (NDN-DM), where a producer forwards a fire alert message to neighbouring consumers. This makes the nodes converge according to the disaster situation in a more efficient and secure way. Furthermore, we consider a fire scenario in a university campus and mobile nodes in the campus collaborate with each other to manage the fire situation. The proposed framework has been mathematically modeled and formally proved using timed automata-based transition systems and a real-time model checker, respectively. Additionally, the evaluation of the proposed NDM-DM has been performed using NS2. The results prove that the proposed scheme has reduced the end-to-end delay up from 2 % to 10 % and minimized up to 20 % energy consumption, as energy improved from 3 % to 20 % compared with a state-of-the-art NDN-based DMS.

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“…However Seedorf et al [ 28 ] enable communication in a delay tolerant network (DTN) [ 29 , 30 ] using ICN. This paper especially focused on PULL support-based disaster scenarios in which movement of the data mules are random and unpredictable [ 31 ].…”

Section: Related Research Effortsmentioning

confidence: 99%

Disaster Management System Aided by Named Data Network of Things: Architecture, Design, and Analysis

Hannan

Arshad

Azam

et al. 2018

Sensors

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Disasters are the uncertain calamities which within no time can change the situation quite drastically. They not only affect the system’s infrastructure but can also put an adverse effect on human life. A large chunk of the IP-based Internet of Things (IoT) schemes tackle disasters such as fire, earthquake, and flood. Moreover, recently proposed Named Data Networking (NDN) architecture exhibited promising results for IoT as compare to IP-based approaches. Therefore to tackle disaster management system (DMS), it is needed to explore it through NDN architecture and this is the main motivation behind this work. In this research, a NDN based IoT-DMS (fire disaster) architecture is proposed, named as NDN-DISCA. In NDN-DISCA, NDN producer pushes emergency content towards nearby consumers. To provide push support, Beacon Alert Message (BAM) is created using fixed sequence number. NDN-DISCA is simulated in ndnSIM considering the disaster scenario of IoT-based smart campus (SC). From results, it is found that NDN-DISCA exhibits minimal delay and improved throughput when compared to the legacy NDN and existing PUSH schemes.

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Decentralised Interest Counter Aggregation for ICN in Disaster Scenarios

Cited by 8 publications

References 5 publications

All about Delay-Tolerant Networking (DTN) Contributions to Future Internet

All about Delay-Tolerant Networking (DTN) Contributions to Future Internet

Named Data Networking for Efficient IoT-based Disaster Management in a Smart Campus

Disaster Management System Aided by Named Data Network of Things: Architecture, Design, and Analysis

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