The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
A localização de nós sensores é uma questão importante em redes de sensores sem fio (RSSFs) devido à natureza dinâmica da implantação de sensores. Geralmente, na localização de redes de sensores sem fio, as posições absolutas de certos nós âncora são necessárias com base no uso de sistemas de posicionamento global, então todos os outros nós são localizados aproximadamente usando vários algoritmos baseados em um sistema de coordenadas das âncoras. Este artigo propõe um algoritmo de localização baseado em posição de vizinho (NPLA) que pode melhorar muito a precisão do posicionamento quando comparado com os atuais algoritmos de localização de conectividade sobreposta que tentam usar a observação da conectividade a um conjunto de âncoras para determinar a posição de um nó. O método proposto localiza os nós sensores usando tanto as posições das âncoras quanto as informações dos nós vizinhos. Contudo, ao contrário dos métodos existentes baseados em sobreposição, o NPLA proposto não assume o mesmo alcance de transmissão de rádio. Um estudo de simulação é utilizado para demonstrar a precisão de posicionamento do método proposto com diferentes densidades de âncoras e nós sensores.
The copyright of the original papers published on this site belongs to IEICE. Unauthorized use of the original or translated papers is prohibited. See IEICE Provisions on Copyright for details.
Copiar
Yong-Qian CHEN, Young-Kyoung KIM, Sang-Jo YOO, "Accurate Sensor Position Estimation for Wireless Sensor Networks Using Neighborhood Relationship" in IEICE TRANSACTIONS on Communications,
vol. E91-B, no. 9, pp. 2907-2916, September 2008, doi: 10.1093/ietcom/e91-b.9.2907.
Abstract: Sensor node localization is an important issue in wireless sensor networks (WSNs) due to the dynamic nature of sensor deployment. Generally, in wireless sensor network localization, the absolute positions of certain anchor nodes are required based on the use of global positioning systems, then all the other nodes are approximately localized using various algorithms based on a coordinate system of the anchors. This paper proposes a neighbor position-based localization algorithm (NPLA) that can greatly enhance the positioning accuracy when compared with current overlapping connectivity localization algorithms that attempt to use the observation of connectivity to a set of anchors to determine a node's position. The proposed method localizes the sensor nodes using both the anchors' positions and neighbor node information. However, unlike existing overlapping-based methods, the proposed NPLA does not assume the same radio transmission range. A simulation study is used to demonstrate the positioning accuracy of the proposed method with different anchor and sensor node densities.
URL: https://global.ieice.org/en_transactions/communications/10.1093/ietcom/e91-b.9.2907/_p
Copiar
@ARTICLE{e91-b_9_2907,
author={Yong-Qian CHEN, Young-Kyoung KIM, Sang-Jo YOO, },
journal={IEICE TRANSACTIONS on Communications},
title={Accurate Sensor Position Estimation for Wireless Sensor Networks Using Neighborhood Relationship},
year={2008},
volume={E91-B},
number={9},
pages={2907-2916},
abstract={Sensor node localization is an important issue in wireless sensor networks (WSNs) due to the dynamic nature of sensor deployment. Generally, in wireless sensor network localization, the absolute positions of certain anchor nodes are required based on the use of global positioning systems, then all the other nodes are approximately localized using various algorithms based on a coordinate system of the anchors. This paper proposes a neighbor position-based localization algorithm (NPLA) that can greatly enhance the positioning accuracy when compared with current overlapping connectivity localization algorithms that attempt to use the observation of connectivity to a set of anchors to determine a node's position. The proposed method localizes the sensor nodes using both the anchors' positions and neighbor node information. However, unlike existing overlapping-based methods, the proposed NPLA does not assume the same radio transmission range. A simulation study is used to demonstrate the positioning accuracy of the proposed method with different anchor and sensor node densities.},
keywords={},
doi={10.1093/ietcom/e91-b.9.2907},
ISSN={1745-1345},
month={September},}
Copiar
TY - JOUR
TI - Accurate Sensor Position Estimation for Wireless Sensor Networks Using Neighborhood Relationship
T2 - IEICE TRANSACTIONS on Communications
SP - 2907
EP - 2916
AU - Yong-Qian CHEN
AU - Young-Kyoung KIM
AU - Sang-Jo YOO
PY - 2008
DO - 10.1093/ietcom/e91-b.9.2907
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E91-B
IS - 9
JA - IEICE TRANSACTIONS on Communications
Y1 - September 2008
AB - Sensor node localization is an important issue in wireless sensor networks (WSNs) due to the dynamic nature of sensor deployment. Generally, in wireless sensor network localization, the absolute positions of certain anchor nodes are required based on the use of global positioning systems, then all the other nodes are approximately localized using various algorithms based on a coordinate system of the anchors. This paper proposes a neighbor position-based localization algorithm (NPLA) that can greatly enhance the positioning accuracy when compared with current overlapping connectivity localization algorithms that attempt to use the observation of connectivity to a set of anchors to determine a node's position. The proposed method localizes the sensor nodes using both the anchors' positions and neighbor node information. However, unlike existing overlapping-based methods, the proposed NPLA does not assume the same radio transmission range. A simulation study is used to demonstrate the positioning accuracy of the proposed method with different anchor and sensor node densities.
ER -