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 |
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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 |
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Country/Territory | China |
City | Chengdu |
Period | 16/7/27 → 16/7/29 |
ASJC Scopus subject areas
- Computer Networks and Communications
- Signal Processing