Redundancy reduction for indoor device-free localization
| Autor: | Min Peng, Shenghui Zhao, Jinjun Liu, Zheng Cui, Md. Tanbir Hassan, Ning An |
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| Rok vydání: | 2016 |
| Předmět: |
Computer science
Real-time computing Mobile computing 020206 networking & telecommunications 02 engineering and technology Management Science and Operations Research 01 natural sciences Computer Science Applications Reduction (complexity) 010104 statistics & probability Hardware and Architecture 0202 electrical engineering electronic engineering information engineering Redundancy (engineering) Node (circuits) 0101 mathematics Device free localization |
| Zdroj: | Personal and Ubiquitous Computing. 21:5-15 |
| ISSN: | 1617-4917 1617-4909 |
| DOI: | 10.1007/s00779-016-0979-8 |
| Popis: | To improve localization accuracy, device-free passive localization studies usually deploy a number of sensor nodes in indoor environments, which causes redundant features and produces large data volumes and high deployment costs. This paper proposes the concept of a two-level redundancy and formulates the node reduction problem as a redundancy control problem. With the goal of using fewer nodes while maintaining high localization accuracy, a method is proposed to control the two-level redundancy efficiently and reduce the number of nodes greatly. Experiments are performed in two completely different environments. The proposed method is able to maintain accuracy levels above 90% and can efficiently reduce the total number of nodes by 59.09% in a large room (150 $${\mathrm{m}}^2$$m2) and by 68.75% in a small room (25 $${\mathrm{m}}^2$$m2). Furthermore, due to reduced nodes the proposed method can drastically reduce the needed amount of localization data and the hardware costs. |
| Databáze: | OpenAIRE |
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