A new medium access control protocol based on perceived data reliability and spatial correlation in wireless sensor network

Authors:
Degan Zhang;Chen-peng Zhao;Yan-pin Liang;Zhao-jing Liu
Affiliations:
Tianjin Key Laboratory of Intelligent Computing & Novel Software Technology, Tianjin University of Technology, Tianjin 300191, China and Key Laboratory of Computer Vision and System, Tianjin Unive ...;Tianjin Key Laboratory of Intelligent Computing & Novel Software Technology, Tianjin University of Technology, Tianjin 300191, China and Key Laboratory of Computer Vision and System, Tianjin Unive ...;Tianjin Key Laboratory of Intelligent Computing & Novel Software Technology, Tianjin University of Technology, Tianjin 300191, China and Key Laboratory of Computer Vision and System, Tianjin Unive ...;Tianjin Key Laboratory of Intelligent Computing & Novel Software Technology, Tianjin University of Technology, Tianjin 300191, China and Key Laboratory of Computer Vision and System, Tianjin Unive ...
Venue:
Computers and Electrical Engineering
Year:
2012

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Abstract

It is well known that the data of large-scale and dense wireless sensor network has high spatial correlativity. According to the monitoring of a particular event, a new medium access control (MAC) protocol based on perceived data reliability and spatial correlation is proposed in this paper. In this protocol, a ring-shaped space correlation model is established. The nodes close to information source is attributed them high priority in access channel so as to make sure the high quality data send successfully to the sink node and increase the data transferring efficiency. The new protocol can make the received data reflect the real physical phenomenon. At the same time, it can make the data transmission of the nodes far to information source be brought down and the amount of required data nodes be reduced. So the new protocol can prolong lifetime of the whole network. Our simulation results show that the new MAC protocol can supply better network service under low energy consumption and transmission delay. This is very useful for all kinds of mobile services of Internet of Things.