Location Determination and Measured Data Analysis of a Shipboard Indoor Signal Propagation Characteristics Based on Signature Sequence 


Vol. 40,  No. 1, pp. 198-201, Jan.  2015


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  Abstract

The prompt and accurate location determination of the nodes of the wireless indoor shipboard networks is crucial to forming the stable wireless shipboard sensor networks. To this end in this paper it can be achieved through the measurement of the bi-directional channel qualities among the nodes after the locations of the sensor nodes temporarily placed. For the 1st stage the piconet-type sensor networks are considered to measure the channel qualities between a specific node and the cluster node which is the master node. After finishing the 1st stage measurement the nodes needing the relay nodes are selected and the measurement action goes into the 2nd stage. In the 2nd stage the measurement between a candidate relay node and the node needing a relay node starts to begin. After the 2nd stage the relay nodes to connect to the cluster node are fixed and the information delivery paths between a node and the cluster head are established. In this paper the measurement results in the realistic environment are gathered and analysed to show that the measurement procedure can be applied in the wireless indoor shipboard networks.

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  Cite this article

[IEEE Style]

Kim and Jeong-Ho, "Location Determination and Measured Data Analysis of a Shipboard Indoor Signal Propagation Characteristics Based on Signature Sequence," The Journal of Korean Institute of Communications and Information Sciences, vol. 40, no. 1, pp. 198-201, 2015. DOI: .

[ACM Style]

Kim and Jeong-Ho. 2015. Location Determination and Measured Data Analysis of a Shipboard Indoor Signal Propagation Characteristics Based on Signature Sequence. The Journal of Korean Institute of Communications and Information Sciences, 40, 1, (2015), 198-201. DOI: .

[KICS Style]

Kim and Jeong-Ho, "Location Determination and Measured Data Analysis of a Shipboard Indoor Signal Propagation Characteristics Based on Signature Sequence," The Journal of Korean Institute of Communications and Information Sciences, vol. 40, no. 1, pp. 198-201, 1. 2015.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880