A collaborative model for post flood activities exploiting an enhanced expanding neighborhood search algorithm

Among all natural disasters, flood is considered as the most civilization-destroying disaster which causes considerable damage to all life and property. Every country has its own rescue teams and techniques to minimize the loss and suffering during the flood. Communication and collaboration are one...

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Main Author:	Hasan, Md Munirul
Format:	Thesis
Language:	English
Published:	2019
Subjects:	QA75 Electronic computers Computer science
Online Access:	http://umpir.ump.edu.my/id/eprint/31122/1/A%20collaborative%20model%20for%20post%20flood%20activities%20exploiting%20an%20enhanced%20expanding%20neighborhood%20search%20algorithm.wm.pdf
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id	my-ump-ir.31122
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spelling	my-ump-ir.311222023-01-17T07:04:56Z A collaborative model for post flood activities exploiting an enhanced expanding neighborhood search algorithm 2019-12 Hasan, Md Munirul QA75 Electronic computers. Computer science Among all natural disasters, flood is considered as the most civilization-destroying disaster which causes considerable damage to all life and property. Every country has its own rescue teams and techniques to minimize the loss and suffering during the flood. Communication and collaboration are one of the major issues for successful performing search and rescue operations during the flood occurrence. Such as, a crucial problem in post-flood recovery actions is the ability to rapidly establish communication and collaboration among rescuers to conduct timely and effective search and rescue (SAR) missions. The cyber-physical system can be incorporated for solving such a challenging task, as the researchers are exploiting it successfully in different domains. This thesis proposes a novel network architecture in the form of a cyber-physical enabled air-ground collaborative model (CP-AGCM). The aim of this model is to extend the proximity service (ProSe) and expand integrated global-local information exchange in the post-flood SAR activities. In this model, exploiting TV White Space spectrum as network backhaul links for acquiring and communicating post-flood emergency data. The primary method of developing the proposed system builds upon a layered architecture of wireless local, regional and wide-area communications, and incorporates collaborative network components among these layers. The desirable functionalities of CP-AGCM are showcased through formulation and development of an efficient global search strategy exploiting a wide range of collaboration among network agents. The experimental results show the proposed collaborative model offers a more resilient communication platform in harsh flood environments, which in turn can significantly improve the number of rescued victims in the simulated SAR activities. The comparative study demonstrates the performance of the proposed model improves 30% compared to the existing model. The network performance (e.g., packet delivery ratio nearing 80-90%) also demonstrates the capability of CP-AGCM to provide ProSe in the post-flood scenarios and optimality of efficient search algorithm. 2019-12 Thesis http://umpir.ump.edu.my/id/eprint/31122/ http://umpir.ump.edu.my/id/eprint/31122/1/A%20collaborative%20model%20for%20post%20flood%20activities%20exploiting%20an%20enhanced%20expanding%20neighborhood%20search%20algorithm.wm.pdf pdf en public masters Universiti Malaysia Pahang Faculty of Computing Md Arafatur, Rahman
institution	Universiti Malaysia Pahang Al-Sultan Abdullah
collection	UMPSA Institutional Repository
language	English
advisor	Md Arafatur, Rahman
topic	QA75 Electronic computers Computer science
spellingShingle	QA75 Electronic computers Computer science Hasan, Md Munirul A collaborative model for post flood activities exploiting an enhanced expanding neighborhood search algorithm
description	Among all natural disasters, flood is considered as the most civilization-destroying disaster which causes considerable damage to all life and property. Every country has its own rescue teams and techniques to minimize the loss and suffering during the flood. Communication and collaboration are one of the major issues for successful performing search and rescue operations during the flood occurrence. Such as, a crucial problem in post-flood recovery actions is the ability to rapidly establish communication and collaboration among rescuers to conduct timely and effective search and rescue (SAR) missions. The cyber-physical system can be incorporated for solving such a challenging task, as the researchers are exploiting it successfully in different domains. This thesis proposes a novel network architecture in the form of a cyber-physical enabled air-ground collaborative model (CP-AGCM). The aim of this model is to extend the proximity service (ProSe) and expand integrated global-local information exchange in the post-flood SAR activities. In this model, exploiting TV White Space spectrum as network backhaul links for acquiring and communicating post-flood emergency data. The primary method of developing the proposed system builds upon a layered architecture of wireless local, regional and wide-area communications, and incorporates collaborative network components among these layers. The desirable functionalities of CP-AGCM are showcased through formulation and development of an efficient global search strategy exploiting a wide range of collaboration among network agents. The experimental results show the proposed collaborative model offers a more resilient communication platform in harsh flood environments, which in turn can significantly improve the number of rescued victims in the simulated SAR activities. The comparative study demonstrates the performance of the proposed model improves 30% compared to the existing model. The network performance (e.g., packet delivery ratio nearing 80-90%) also demonstrates the capability of CP-AGCM to provide ProSe in the post-flood scenarios and optimality of efficient search algorithm.
format	Thesis
qualification_level	Master's degree
author	Hasan, Md Munirul
author_facet	Hasan, Md Munirul
author_sort	Hasan, Md Munirul
title	A collaborative model for post flood activities exploiting an enhanced expanding neighborhood search algorithm
title_short	A collaborative model for post flood activities exploiting an enhanced expanding neighborhood search algorithm
title_full	A collaborative model for post flood activities exploiting an enhanced expanding neighborhood search algorithm
title_fullStr	A collaborative model for post flood activities exploiting an enhanced expanding neighborhood search algorithm
title_full_unstemmed	A collaborative model for post flood activities exploiting an enhanced expanding neighborhood search algorithm
title_sort	collaborative model for post flood activities exploiting an enhanced expanding neighborhood search algorithm
granting_institution	Universiti Malaysia Pahang
granting_department	Faculty of Computing
publishDate	2019
url	http://umpir.ump.edu.my/id/eprint/31122/1/A%20collaborative%20model%20for%20post%20flood%20activities%20exploiting%20an%20enhanced%20expanding%20neighborhood%20search%20algorithm.wm.pdf
_version_	1783732157260234752

A collaborative model for post flood activities exploiting an enhanced expanding neighborhood search algorithm

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