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DABPR: A large-scale internet of things-based data aggregation back pressure routing for disaster management

In this paper, we propose a data aggregation back pressure routing (DABPR) scheme, which aims to simultaneously aggregate overlapping routes for efficient data transmission and prolong the lifetime of the network. The DABPR routing algorithm is structured into five phases in which event data is sent...

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Main Authors:	Amiri, Iraj Sadegh, Prakash, J., Balasaraswathi, M., Sivasankaran, V., Sundararajan, T. V. P., Hindia, M. H. D. Nour, Tilwari, Valmik, Dimyati, Kaharudin, Henry, Ojukwu
Format:	Article
Published:	Springer 2020
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://eprints.um.edu.my/36709/
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spelling	my.um.eprints.367092024-11-04T08:16:06Z http://eprints.um.edu.my/36709/ DABPR: A large-scale internet of things-based data aggregation back pressure routing for disaster management Amiri, Iraj Sadegh Prakash, J. Balasaraswathi, M. Sivasankaran, V. Sundararajan, T. V. P. Hindia, M. H. D. Nour Tilwari, Valmik Dimyati, Kaharudin Henry, Ojukwu TK Electrical engineering. Electronics Nuclear engineering In this paper, we propose a data aggregation back pressure routing (DABPR) scheme, which aims to simultaneously aggregate overlapping routes for efficient data transmission and prolong the lifetime of the network. The DABPR routing algorithm is structured into five phases in which event data is sent from the event areas to the sink nodes. These include cluster-head selection, maximization of event detection reliability, data aggregation, scheduling, and route selection with multi attributes decision making metrics phases. The scheme performs data aggregation on redundant data at relay nodes in order to decrease both the size and rate of message exchanges to minimize communication overhead and energy consumption. The proposed scheme is assessed in terms of packet delivery, network lifetime, ratio, energy consumption, and throughput, and compared with two other well-known protocols, namely ``information-fusion-based role assignment (InFRA)'' and ``data routing for in-network aggregation (DRINA)'', which intrinsically are cluster and tree-based routing schemes designed to improve data aggregation efficiency by maximizing the overlapping routes. Meticulous analysis of the simulated data showed that DABPR achieved overall superior proficiency and more reliable performance in all the evaluated performance metrics, above the others. The proposed DABPR routing scheme outperformed its counterparts in the average energy consumption metric by 64.78% and 51.41%, packet delivery ratio by 28.76% and 16.89% and network lifetime by 42.72% and 20.76% compared with InFRA and DRINA, respectively. Springer 2020-05 Article PeerReviewed Amiri, Iraj Sadegh and Prakash, J. and Balasaraswathi, M. and Sivasankaran, V. and Sundararajan, T. V. P. and Hindia, M. H. D. Nour and Tilwari, Valmik and Dimyati, Kaharudin and Henry, Ojukwu (2020) DABPR: A large-scale internet of things-based data aggregation back pressure routing for disaster management. Wireless Networks, 26 (4, SI). pp. 2353-2374. ISSN 1022-0038, DOI https://doi.org/10.1007/s11276-019-02122-3 <https://doi.org/10.1007/s11276-019-02122-3>. 10.1007/s11276-019-02122-3
institution	Universiti Malaya
building	UM Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Malaya
content_source	UM Research Repository
url_provider	http://eprints.um.edu.my/
topic	TK Electrical engineering. Electronics Nuclear engineering
spellingShingle	TK Electrical engineering. Electronics Nuclear engineering Amiri, Iraj Sadegh Prakash, J. Balasaraswathi, M. Sivasankaran, V. Sundararajan, T. V. P. Hindia, M. H. D. Nour Tilwari, Valmik Dimyati, Kaharudin Henry, Ojukwu DABPR: A large-scale internet of things-based data aggregation back pressure routing for disaster management
description	In this paper, we propose a data aggregation back pressure routing (DABPR) scheme, which aims to simultaneously aggregate overlapping routes for efficient data transmission and prolong the lifetime of the network. The DABPR routing algorithm is structured into five phases in which event data is sent from the event areas to the sink nodes. These include cluster-head selection, maximization of event detection reliability, data aggregation, scheduling, and route selection with multi attributes decision making metrics phases. The scheme performs data aggregation on redundant data at relay nodes in order to decrease both the size and rate of message exchanges to minimize communication overhead and energy consumption. The proposed scheme is assessed in terms of packet delivery, network lifetime, ratio, energy consumption, and throughput, and compared with two other well-known protocols, namely ``information-fusion-based role assignment (InFRA)'' and ``data routing for in-network aggregation (DRINA)'', which intrinsically are cluster and tree-based routing schemes designed to improve data aggregation efficiency by maximizing the overlapping routes. Meticulous analysis of the simulated data showed that DABPR achieved overall superior proficiency and more reliable performance in all the evaluated performance metrics, above the others. The proposed DABPR routing scheme outperformed its counterparts in the average energy consumption metric by 64.78% and 51.41%, packet delivery ratio by 28.76% and 16.89% and network lifetime by 42.72% and 20.76% compared with InFRA and DRINA, respectively.
format	Article
author	Amiri, Iraj Sadegh Prakash, J. Balasaraswathi, M. Sivasankaran, V. Sundararajan, T. V. P. Hindia, M. H. D. Nour Tilwari, Valmik Dimyati, Kaharudin Henry, Ojukwu
author_facet	Amiri, Iraj Sadegh Prakash, J. Balasaraswathi, M. Sivasankaran, V. Sundararajan, T. V. P. Hindia, M. H. D. Nour Tilwari, Valmik Dimyati, Kaharudin Henry, Ojukwu
author_sort	Amiri, Iraj Sadegh
title	DABPR: A large-scale internet of things-based data aggregation back pressure routing for disaster management
title_short	DABPR: A large-scale internet of things-based data aggregation back pressure routing for disaster management
title_full	DABPR: A large-scale internet of things-based data aggregation back pressure routing for disaster management
title_fullStr	DABPR: A large-scale internet of things-based data aggregation back pressure routing for disaster management
title_full_unstemmed	DABPR: A large-scale internet of things-based data aggregation back pressure routing for disaster management
title_sort	dabpr: a large-scale internet of things-based data aggregation back pressure routing for disaster management
publisher	Springer
publishDate	2020
url	http://eprints.um.edu.my/36709/
_version_	1814933261810401280
score	13.211869

DABPR: A large-scale internet of things-based data aggregation back pressure routing for disaster management

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