Proceedings of the 2016 5th International Conference on Advanced Materials and Computer Science

Research on the Optimal Design of Soccer Robot based on the Mechanical Analysis

Authors
Na Dong, Hao-yuan Gan
Corresponding Author
Na Dong
Available Online June 2016.
DOI
10.2991/icamcs-16.2016.31How to use a DOI?
Keywords
Wireless sensor network, Numerical analysis, Greedy iteration, Coverage enhancing.
Abstract

Aiming at the high complexity and low coverage ratio of existing coverage enhancing algorithms in directional wireless sensor network, a coverage enhancing algorithm based on numerical analysis and greedy iteration is proposed. The proposed algorithm adjusts the sensor direction by way of greedy iteration, until all sensor directions reach local optimum. Meanwhile, in the process of greedy iteration, greedy iteration is used to simplify the area calculation to reach the reduction of the complexity of the proposed algorithm. The simulation demonstrates that the proposed algorithm is well convergent with high coverage rate and medium execution time.

Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2016 5th International Conference on Advanced Materials and Computer Science
Series
Advances in Engineering Research
Publication Date
June 2016
ISBN
10.2991/icamcs-16.2016.31
ISSN
2352-5401
DOI
10.2991/icamcs-16.2016.31How to use a DOI?
Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Na Dong
AU  - Hao-yuan Gan
PY  - 2016/06
DA  - 2016/06
TI  - Research on the Optimal Design of Soccer Robot based on the Mechanical Analysis
BT  - Proceedings of the 2016 5th International Conference on Advanced Materials and Computer Science
PB  - Atlantis Press
SP  - 158
EP  - 162
SN  - 2352-5401
UR  - https://doi.org/10.2991/icamcs-16.2016.31
DO  - 10.2991/icamcs-16.2016.31
ID  - Dong2016/06
ER  -