Abstract
This paper proposes a sensor model in three dimensional (3D) space, where the height of sensor above ground is variable and the position of sensor on the ground is limited. Traditional sensor models treat the sensor placement area as a film and there is no placement limits as well. As a consequence, the number of sensors is very large and the performance is not such ideal as simulation. In this paper, we develop a novel model for sensor placement, which makes sensors possible to be set at different height above ground, so that the coverage rate can be analyzed in 3D space and the simulation result can be more dependable. We also propose a corresponding 3D coverage rate evaluation method to be used for our proposed 3D model. In order to test our proposed model and evaluation method, the system is designed and numerical and graphical simulators are developed. Experiments are conducted to quantify trade-off relationship between coverage rate and cost, i.e., the number of sensors, which can make sensor placement strategy more practical. From the experimental results, we confirmed that the proposed 3D model and evaluation method is effective in a 3D space.
Original language | English |
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Title of host publication | 2015 IEEE International Conference on Cyber Technology in Automation, Control and Intelligent Systems, IEEE-CYBER 2015 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 1-6 |
Number of pages | 6 |
ISBN (Print) | 9781479987290 |
DOIs | |
Publication status | Published - 2015 Oct 2 |
Event | 5th Annual IEEE International Conference on Cyber Technology in Automation, Control and Intelligent Systems, IEEE-CYBER 2015 - Shenyang, China Duration: 2015 Jun 9 → 2015 Jun 12 |
Other
Other | 5th Annual IEEE International Conference on Cyber Technology in Automation, Control and Intelligent Systems, IEEE-CYBER 2015 |
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Country/Territory | China |
City | Shenyang |
Period | 15/6/9 → 15/6/12 |
Keywords
- 3D space
- digital evolution models
- wireless sensor networks
ASJC Scopus subject areas
- Artificial Intelligence
- Control and Systems Engineering