Proceedings of the 2016 4th International Conference on Machinery, Materials and Computing Technology

Research on Distributed Signal Processing Technology in Wireless Sensor Networks

Authors
Zhengnan Wu, Yuansheng Cheng, Jun Lu
Corresponding Author
Zhengnan Wu
Available Online March 2016.
DOI
https://doi.org/10.2991/icmmct-16.2016.395How to use a DOI?
Keywords
Distributed Networks, Cognitive Radio Sensor Networks, Mobile Networks, Networked Signal Processing,
Abstract
Wireless sensor network is widely used in military, industrial, medical, transportation and other fields. As a product of the era in the future, wireless sensor network will play a more and more important role. This network is usually composed of sensor nodes that of low power consumption and low cost. Data source node is responsible for the collection and detection range, and multiple hops to pass data gathering node by way of relay node. However, because the sensor nodes in wireless sensor networks mainly limited through energy battery power supply, and the limited channel capacity limits the data rate in the whole network of transmission and distribution, it is a key issue that how to ensure the quality of service of wireless sensor network through effective allocation of network resources and queue scheduling.
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Proceedings
2016 4th International Conference on Machinery, Materials and Computing Technology
Part of series
Advances in Engineering Research
Publication Date
March 2016
ISBN
978-94-6252-165-0
ISSN
2352-5401
DOI
https://doi.org/10.2991/icmmct-16.2016.395How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Zhengnan Wu
AU  - Yuansheng Cheng
AU  - Jun Lu
PY  - 2016/03
DA  - 2016/03
TI  - Research on Distributed Signal Processing Technology in Wireless Sensor Networks
BT  - 2016 4th International Conference on Machinery, Materials and Computing Technology
PB  - Atlantis Press
SP  - 1981
EP  - 1985
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmmct-16.2016.395
DO  - https://doi.org/10.2991/icmmct-16.2016.395
ID  - Wu2016/03
ER  -