Abstract
In this paper, we propose a matrix completion algorithm to acquire the sensor map of Internet of Things (IoT) network. Our approach consists of two main steps to reconstruct Euclidean distance matrix. Firstly, we formulate the Euclidean distance matrix completion problem as an unconstrained optimization in smooth Riemannian manifold. We next employ nonlinear conjugate gradient algorithm on this manifold to solve the matrix completion problem. From the numerical experiments, we show that the proposed algorithm is effective recovering the distance matrix accurately with much smaller measurement than that required by conventional approaches and also outperforms the state-of-the-art matrix completion algorithms both in noise and noiseless scenarios.
| Original language | English |
|---|---|
| Title of host publication | 2016 IEEE/CIC International Conference on Communications in China, ICCC 2016 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9781509021437 |
| DOIs | |
| Publication status | Published - 2016 Oct 21 |
| Externally published | Yes |
| Event | 2016 IEEE/CIC International Conference on Communications in China, ICCC 2016 - Chengdu, China Duration: 2016 Jul 27 → 2016 Jul 29 |
Other
| Other | 2016 IEEE/CIC International Conference on Communications in China, ICCC 2016 |
|---|---|
| Country | China |
| City | Chengdu |
| Period | 16/7/27 → 16/7/29 |
Fingerprint
ASJC Scopus subject areas
- Computer Networks and Communications
- Signal Processing
Cite this
Localization of Internet of Things network via Euclidean distance matrix completion. / Nguyen, Luong; Shim, Byonghyo.
2016 IEEE/CIC International Conference on Communications in China, ICCC 2016. Institute of Electrical and Electronics Engineers Inc., 2016. 7636902.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Localization of Internet of Things network via Euclidean distance matrix completion
AU - Nguyen, Luong
AU - Shim, Byonghyo
PY - 2016/10/21
Y1 - 2016/10/21
N2 - In this paper, we propose a matrix completion algorithm to acquire the sensor map of Internet of Things (IoT) network. Our approach consists of two main steps to reconstruct Euclidean distance matrix. Firstly, we formulate the Euclidean distance matrix completion problem as an unconstrained optimization in smooth Riemannian manifold. We next employ nonlinear conjugate gradient algorithm on this manifold to solve the matrix completion problem. From the numerical experiments, we show that the proposed algorithm is effective recovering the distance matrix accurately with much smaller measurement than that required by conventional approaches and also outperforms the state-of-the-art matrix completion algorithms both in noise and noiseless scenarios.
AB - In this paper, we propose a matrix completion algorithm to acquire the sensor map of Internet of Things (IoT) network. Our approach consists of two main steps to reconstruct Euclidean distance matrix. Firstly, we formulate the Euclidean distance matrix completion problem as an unconstrained optimization in smooth Riemannian manifold. We next employ nonlinear conjugate gradient algorithm on this manifold to solve the matrix completion problem. From the numerical experiments, we show that the proposed algorithm is effective recovering the distance matrix accurately with much smaller measurement than that required by conventional approaches and also outperforms the state-of-the-art matrix completion algorithms both in noise and noiseless scenarios.
UR - http://www.scopus.com/inward/record.url?scp=84997673921&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84997673921&partnerID=8YFLogxK
U2 - 10.1109/ICCChina.2016.7636902
DO - 10.1109/ICCChina.2016.7636902
M3 - Conference contribution
AN - SCOPUS:84997673921
BT - 2016 IEEE/CIC International Conference on Communications in China, ICCC 2016
PB - Institute of Electrical and Electronics Engineers Inc.
ER -