A Grid-based Localization Scheme on WSN

碩士 === 國立清華大學 === 資訊系統與應用研究所 === 94 === In sensor networks, sensors usually do not equipped with global IDs similar to IP addresses or MAC addresses in IP-based networks to be its identifier due to the application-driven usage and the cost of massive production. However, knowledge of physical locati...

Full description

Bibliographic Details
Main Authors: Ching-Yi Chen, 陳靜怡
Other Authors: Jia-Shung Wang
Format: Others
Language:en_US
Published: 2006
Online Access:http://ndltd.ncl.edu.tw/handle/00598632582507641136
id ndltd-TW-094NTHU5394026
record_format oai_dc
spelling ndltd-TW-094NTHU53940262015-12-16T04:42:36Z http://ndltd.ncl.edu.tw/handle/00598632582507641136 A Grid-based Localization Scheme on WSN 一個以格子為基礎的無線感知網路定位技術 Ching-Yi Chen 陳靜怡 碩士 國立清華大學 資訊系統與應用研究所 94 In sensor networks, sensors usually do not equipped with global IDs similar to IP addresses or MAC addresses in IP-based networks to be its identifier due to the application-driven usage and the cost of massive production. However, knowledge of physical locations of sensor nodes is essential for many geographic aware applications, such as target tracking, coverage management, and directional flooding, etc. Accordingly, many researchers have proposed several localization algorithms. They often assume some sensors are equipped with GPS devices, and the other sensor nodes can estimate their location through certain of distance computations. Considering the tradeoff between computation complexity and precision of localization algorithms, in this study, we propose a grid-based approach to fulfill the requirements. In fact, instead of making effort to calculate all sensors’ locations directly, we would rather establish a grid system of partial nodes which are approximately deployed in uniform. Therefore, other sensor nodes can reckon which grid they belong to by some judgment with the distance table maintain by each grid node. Finally, we assign each sensor node a unique ID according to their location information. The average estimated error of grid sensor node is decreased when there are more nodes involves or with higher grid dimension. The average estimated error is under 0.45 units if the sensors are deployed in a 100´100 unit space. Moreover, the localization and ID assignment of non-grid nodes is efficient once a new sensor node is added in the network. About 80% of non-grid nodes have correct predicted result. Jia-Shung Wang 王家祥 2006 學位論文 ; thesis 50 en_US
collection NDLTD
language en_US
format Others
sources NDLTD
description 碩士 === 國立清華大學 === 資訊系統與應用研究所 === 94 === In sensor networks, sensors usually do not equipped with global IDs similar to IP addresses or MAC addresses in IP-based networks to be its identifier due to the application-driven usage and the cost of massive production. However, knowledge of physical locations of sensor nodes is essential for many geographic aware applications, such as target tracking, coverage management, and directional flooding, etc. Accordingly, many researchers have proposed several localization algorithms. They often assume some sensors are equipped with GPS devices, and the other sensor nodes can estimate their location through certain of distance computations. Considering the tradeoff between computation complexity and precision of localization algorithms, in this study, we propose a grid-based approach to fulfill the requirements. In fact, instead of making effort to calculate all sensors’ locations directly, we would rather establish a grid system of partial nodes which are approximately deployed in uniform. Therefore, other sensor nodes can reckon which grid they belong to by some judgment with the distance table maintain by each grid node. Finally, we assign each sensor node a unique ID according to their location information. The average estimated error of grid sensor node is decreased when there are more nodes involves or with higher grid dimension. The average estimated error is under 0.45 units if the sensors are deployed in a 100´100 unit space. Moreover, the localization and ID assignment of non-grid nodes is efficient once a new sensor node is added in the network. About 80% of non-grid nodes have correct predicted result.
author2 Jia-Shung Wang
author_facet Jia-Shung Wang
Ching-Yi Chen
陳靜怡
author Ching-Yi Chen
陳靜怡
spellingShingle Ching-Yi Chen
陳靜怡
A Grid-based Localization Scheme on WSN
author_sort Ching-Yi Chen
title A Grid-based Localization Scheme on WSN
title_short A Grid-based Localization Scheme on WSN
title_full A Grid-based Localization Scheme on WSN
title_fullStr A Grid-based Localization Scheme on WSN
title_full_unstemmed A Grid-based Localization Scheme on WSN
title_sort grid-based localization scheme on wsn
publishDate 2006
url http://ndltd.ncl.edu.tw/handle/00598632582507641136
work_keys_str_mv AT chingyichen agridbasedlocalizationschemeonwsn
AT chénjìngyí agridbasedlocalizationschemeonwsn
AT chingyichen yīgèyǐgéziwèijīchǔdewúxiàngǎnzhīwǎnglùdìngwèijìshù
AT chénjìngyí yīgèyǐgéziwèijīchǔdewúxiàngǎnzhīwǎnglùdìngwèijìshù
AT chingyichen gridbasedlocalizationschemeonwsn
AT chénjìngyí gridbasedlocalizationschemeonwsn
_version_ 1718152356095328256