Pigeon-Inspired-Optimization-for-Node-Location-in-Wireless-Sensor-Network.pdf

Wireless Sensor Network (WSN) refers to a network of devices that can communicate the information gathered from a monitored field through wireless links. As a critical technology of WSN, the localization algorithm plays a vital role in improving node location accuracy and network efficiency. A hybri...

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Tác giả chính:	Nguyễn, Trọng Thể, Pan, Jeng Shyang, Đào, Thị Kiên, Sung, Tien Wen, Ngô, Trường Giang
Định dạng:	Bài trích
Ngôn ngữ:	English
Thông tin xuất bản:	Springer 2020
Chủ đề:	Wireless sensor network Pigeon-inspired Optimization Location accuracy
Truy cập trực tuyến:	https://lib.hpu.edu.vn/handle/123456789/33114
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spelling	oai:https:--lib.hpu.edu.vn:123456789-331142024-06-21T06:06:36Z Pigeon-Inspired-Optimization-for-Node-Location-in-Wireless-Sensor-Network.pdf Nguyễn, Trọng Thể Pan, Jeng Shyang Đào, Thị Kiên Sung, Tien Wen Ngô, Trường Giang Wireless sensor network Pigeon-inspired Optimization Location accuracy Wireless Sensor Network (WSN) refers to a network of devices that can communicate the information gathered from a monitored field through wireless links. As a critical technology of WSN, the localization algorithm plays a vital role in improving node location accuracy and network efficiency. A hybrid Pigeon Inspired Optimization (PIO) with a typical localization model is proposed to solve the problem of node localization in WSN. The self-learning idea of PIO and speed formula are combined to improve exploring and exploiting agents of PIO. Fitness function for optimization is mathematically modeled based on analysis Pareto distances. The simulation results compared with the other approaches in the literature, e.g., the improved particle swarm optimization (PSO) and the cuckoo search (CS) show that the proposed method effectively improves the location accuracy of nodes and reduces the cumulative error caused by success positioning nodes. 2020-05-14T03:05:04Z 2020-05-14T03:05:04Z 2020 Article https://lib.hpu.edu.vn/handle/123456789/33114 en tr. 589 - 598 application/pdf application/pdf Springer
institution	Trường Đại học Quản lý và Công nghệ Hải Phòng
collection	DSpaceHPU
language	English
topic	Wireless sensor network Pigeon-inspired Optimization Location accuracy
spellingShingle	Wireless sensor network Pigeon-inspired Optimization Location accuracy Nguyễn, Trọng Thể Pan, Jeng Shyang Đào, Thị Kiên Sung, Tien Wen Ngô, Trường Giang Pigeon-Inspired-Optimization-for-Node-Location-in-Wireless-Sensor-Network.pdf
description	Wireless Sensor Network (WSN) refers to a network of devices that can communicate the information gathered from a monitored field through wireless links. As a critical technology of WSN, the localization algorithm plays a vital role in improving node location accuracy and network efficiency. A hybrid Pigeon Inspired Optimization (PIO) with a typical localization model is proposed to solve the problem of node localization in WSN. The self-learning idea of PIO and speed formula are combined to improve exploring and exploiting agents of PIO. Fitness function for optimization is mathematically modeled based on analysis Pareto distances. The simulation results compared with the other approaches in the literature, e.g., the improved particle swarm optimization (PSO) and the cuckoo search (CS) show that the proposed method effectively improves the location accuracy of nodes and reduces the cumulative error caused by success positioning nodes.
format	Article
author	Nguyễn, Trọng Thể Pan, Jeng Shyang Đào, Thị Kiên Sung, Tien Wen Ngô, Trường Giang
author_facet	Nguyễn, Trọng Thể Pan, Jeng Shyang Đào, Thị Kiên Sung, Tien Wen Ngô, Trường Giang
author_sort	Nguyễn, Trọng Thể
title	Pigeon-Inspired-Optimization-for-Node-Location-in-Wireless-Sensor-Network.pdf
title_short	Pigeon-Inspired-Optimization-for-Node-Location-in-Wireless-Sensor-Network.pdf
title_full	Pigeon-Inspired-Optimization-for-Node-Location-in-Wireless-Sensor-Network.pdf
title_fullStr	Pigeon-Inspired-Optimization-for-Node-Location-in-Wireless-Sensor-Network.pdf
title_full_unstemmed	Pigeon-Inspired-Optimization-for-Node-Location-in-Wireless-Sensor-Network.pdf
title_sort	pigeon-inspired-optimization-for-node-location-in-wireless-sensor-network.pdf
publisher	Springer
publishDate	2020
url	https://lib.hpu.edu.vn/handle/123456789/33114
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Pigeon-Inspired-Optimization-for-Node-Location-in-Wireless-Sensor-Network.pdf

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