Node placement optimization using extended virtual force and cuckoo search algorithm in wireless sensor network

Node placement optimization using extended virtual force and cuckoo search algorithm in wireless sensor network

Node placement is one of the fundamental issues that affects the performance of coverage and connectivity in Wireless Sensor Network (WSN). In a large scale WSN, sensor nodes are deployed randomly where they are scattered too close or far apart from each other. This random deployment causes issues s...

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Main Author: Puteri Azwa, Ahmad
Format: Thesis
Language:eng
eng
Published: 2014
Subjects:
T58.6-58.62 Management information systems
Online Access:https://etd.uum.edu.my/4412/1/s810427.pdf
https://etd.uum.edu.my/4412/7/s810427_abstract.pdf
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id my-uum-etd.4412
record_format uketd_dc
institution Universiti Utara Malaysia
collection UUM ETD
language eng
eng
advisor Mahmuddin, Massudi
Omar, Mohd Hasbullah
topic T58.6-58.62 Management information systems
T58.6-58.62 Management information systems
spellingShingle T58.6-58.62 Management information systems
T58.6-58.62 Management information systems
Puteri Azwa, Ahmad
Node placement optimization using extended virtual force and cuckoo search algorithm in wireless sensor network
description Node placement is one of the fundamental issues that affects the performance of coverage and connectivity in Wireless Sensor Network (WSN). In a large scale WSN, sensor nodes are deployed randomly where they are scattered too close or far apart from each other. This random deployment causes issues such as coverage hole, overlapping and connectivity failure that contributes to the performance of coverage and connectivity of WSN. Therefore, node placement model is develop to find the optimal node placement in order to maintain the coverage and guaranteed the connectivity in random deployment. The performance of Extended Virtual Force-Based Algorithm (EVFA) and Cuckoo Search (CS) algorithm are evaluated and EVFA shows the improvement of coverage area and exhibits a guaranteed connectivity compared to CS algorithm. Both algorithms have their own strength in improving the coverage performance. The EVFA approach can relocate the sensor nodes using a repulsive and attractive force after initial deployment and CS algorithm is more efficient in exploring the search of maximum coverage area in random deployment. This study proposed Extended Virtual Force and Cuckoo Search (EVFCS) algorithm with a combination of EVFA and CS algorithm to find an optimal node placement. A series of experimental studies on evaluation of proposed algorithm were conducted within simulated environment. In EVFCS, the algorithm searches the best value of threshold distance and relocated the new position of sensor nodes. The result suggested 18.212m is the best threshold distance that maximizes the coverage area. It also minimizes the problems of coverage hole and overlapping while guaranteeing a reasonable connectivity quality. It proved that the proposed EVFCS outperforms the EVFA approach and achieved a significant improvement in coverage area and guaranteed connectivity. The implementation of the EVFCS improved the problems of initial random deployment.
format Thesis
qualification_name masters
qualification_level Master's degree
author Puteri Azwa, Ahmad
author_facet Puteri Azwa, Ahmad
author_sort Puteri Azwa, Ahmad
title Node placement optimization using extended virtual force and cuckoo search algorithm in wireless sensor network
title_short Node placement optimization using extended virtual force and cuckoo search algorithm in wireless sensor network
title_full Node placement optimization using extended virtual force and cuckoo search algorithm in wireless sensor network
title_fullStr Node placement optimization using extended virtual force and cuckoo search algorithm in wireless sensor network
title_full_unstemmed Node placement optimization using extended virtual force and cuckoo search algorithm in wireless sensor network
title_sort node placement optimization using extended virtual force and cuckoo search algorithm in wireless sensor network
granting_institution Universiti Utara Malaysia
granting_department Awang Had Salleh Graduate School of Arts & Sciences
publishDate 2014
url https://etd.uum.edu.my/4412/1/s810427.pdf
https://etd.uum.edu.my/4412/7/s810427_abstract.pdf
_version_ 1776103642318766080
spelling my-uum-etd.44122022-12-28T01:39:49Z Node placement optimization using extended virtual force and cuckoo search algorithm in wireless sensor network 2014 Puteri Azwa, Ahmad Mahmuddin, Massudi Omar, Mohd Hasbullah Awang Had Salleh Graduate School of Arts & Sciences Awang Had Salleh Graduate School of Arts and Sciences T58.6-58.62 Management information systems QA75 Electronic computers. Computer science Node placement is one of the fundamental issues that affects the performance of coverage and connectivity in Wireless Sensor Network (WSN). In a large scale WSN, sensor nodes are deployed randomly where they are scattered too close or far apart from each other. This random deployment causes issues such as coverage hole, overlapping and connectivity failure that contributes to the performance of coverage and connectivity of WSN. Therefore, node placement model is develop to find the optimal node placement in order to maintain the coverage and guaranteed the connectivity in random deployment. The performance of Extended Virtual Force-Based Algorithm (EVFA) and Cuckoo Search (CS) algorithm are evaluated and EVFA shows the improvement of coverage area and exhibits a guaranteed connectivity compared to CS algorithm. Both algorithms have their own strength in improving the coverage performance. The EVFA approach can relocate the sensor nodes using a repulsive and attractive force after initial deployment and CS algorithm is more efficient in exploring the search of maximum coverage area in random deployment. This study proposed Extended Virtual Force and Cuckoo Search (EVFCS) algorithm with a combination of EVFA and CS algorithm to find an optimal node placement. A series of experimental studies on evaluation of proposed algorithm were conducted within simulated environment. In EVFCS, the algorithm searches the best value of threshold distance and relocated the new position of sensor nodes. The result suggested 18.212m is the best threshold distance that maximizes the coverage area. It also minimizes the problems of coverage hole and overlapping while guaranteeing a reasonable connectivity quality. It proved that the proposed EVFCS outperforms the EVFA approach and achieved a significant improvement in coverage area and guaranteed connectivity. The implementation of the EVFCS improved the problems of initial random deployment. 2014 Thesis https://etd.uum.edu.my/4412/ https://etd.uum.edu.my/4412/1/s810427.pdf text eng public https://etd.uum.edu.my/4412/7/s810427_abstract.pdf text eng public masters masters Universiti Utara Malaysia Q. Wang and I. Balasingham, "Wireless Sensor Networks - An Introduction," in Wireless Sensor Networks: Application - Centric Design, Y. K. Tan, Ed., ed: InTech, 2010. M. Yadav and Y. 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