Named Data Networking for Efficient IoT-based Disaster Management in a Smart Campus
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...
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doaj-ef13da0158a14dab88b80e91e2ae236e2020-11-25T02:26:58ZengMDPI AGSustainability2071-10502020-04-01123088308810.3390/su12083088Named Data Networking for Efficient IoT-based Disaster Management in a Smart CampusZain Ali0Munam Ali Shah1Ahmad Almogren2Ikram Ud Din3Carsten Maple4and Hasan Ali Khattak5Department of Computer Science, COMSATS University Islamabad, Islamabad 445500, PakistanDepartment of Computer Science, COMSATS University Islamabad, Islamabad 445500, PakistanChair of Cyber Security, Department of Computer Science, College of Computer and Information Sciences, King Saud University, Riyadh 11633, Saudi Arabia;Department of Information Technology, The University of Haripur, Haripur 22620, PakistanWarwick Manufacturing Group, University of Warwick, Coventry CV4 7AL, UKDepartment of Computer Science, COMSATS University Islamabad, Islamabad 445500, PakistanDisasters 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 <inline-formula> <math display="inline"> <semantics> <mrow> <mn>2</mn> <mo>%</mo> </mrow> </semantics> </math> </inline-formula> to <inline-formula> <math display="inline"> <semantics> <mrow> <mn>10</mn> <mo>%</mo> </mrow> </semantics> </math> </inline-formula> and minimized up to <inline-formula> <math display="inline"> <semantics> <mrow> <mn>20</mn> <mo>%</mo> </mrow> </semantics> </math> </inline-formula> energy consumption, as energy improved from <inline-formula> <math display="inline"> <semantics> <mrow> <mn>3</mn> <mo>%</mo> </mrow> </semantics> </math> </inline-formula> to <inline-formula> <math display="inline"> <semantics> <mrow> <mn>20</mn> <mo>%</mo> </mrow> </semantics> </math> </inline-formula> compared with a state-of-the-art NDN-based DMS.https://www.mdpi.com/2071-1050/12/8/3088disaster management system (DMS)information-centric network (ICN)Internet of Things (IoT)named data networking (NDN)content security |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Zain Ali Munam Ali Shah Ahmad Almogren Ikram Ud Din Carsten Maple and Hasan Ali Khattak |
spellingShingle |
Zain Ali Munam Ali Shah Ahmad Almogren Ikram Ud Din Carsten Maple and Hasan Ali Khattak Named Data Networking for Efficient IoT-based Disaster Management in a Smart Campus Sustainability disaster management system (DMS) information-centric network (ICN) Internet of Things (IoT) named data networking (NDN) content security |
author_facet |
Zain Ali Munam Ali Shah Ahmad Almogren Ikram Ud Din Carsten Maple and Hasan Ali Khattak |
author_sort |
Zain Ali |
title |
Named Data Networking for Efficient IoT-based Disaster Management in a Smart Campus |
title_short |
Named Data Networking for Efficient IoT-based Disaster Management in a Smart Campus |
title_full |
Named Data Networking for Efficient IoT-based Disaster Management in a Smart Campus |
title_fullStr |
Named Data Networking for Efficient IoT-based Disaster Management in a Smart Campus |
title_full_unstemmed |
Named Data Networking for Efficient IoT-based Disaster Management in a Smart Campus |
title_sort |
named data networking for efficient iot-based disaster management in a smart campus |
publisher |
MDPI AG |
series |
Sustainability |
issn |
2071-1050 |
publishDate |
2020-04-01 |
description |
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 <inline-formula> <math display="inline"> <semantics> <mrow> <mn>2</mn> <mo>%</mo> </mrow> </semantics> </math> </inline-formula> to <inline-formula> <math display="inline"> <semantics> <mrow> <mn>10</mn> <mo>%</mo> </mrow> </semantics> </math> </inline-formula> and minimized up to <inline-formula> <math display="inline"> <semantics> <mrow> <mn>20</mn> <mo>%</mo> </mrow> </semantics> </math> </inline-formula> energy consumption, as energy improved from <inline-formula> <math display="inline"> <semantics> <mrow> <mn>3</mn> <mo>%</mo> </mrow> </semantics> </math> </inline-formula> to <inline-formula> <math display="inline"> <semantics> <mrow> <mn>20</mn> <mo>%</mo> </mrow> </semantics> </math> </inline-formula> compared with a state-of-the-art NDN-based DMS. |
topic |
disaster management system (DMS) information-centric network (ICN) Internet of Things (IoT) named data networking (NDN) content security |
url |
https://www.mdpi.com/2071-1050/12/8/3088 |
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