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Measurements Data-Based Location Determination for Characterizing Indoor Signal Propagations of the Shipboard Sensor Nodes

Authors
Heo, Seo WeonKim, Jeong-Ho
Issue Date
Oct-2016
Publisher
SPRINGER
Keywords
Shipboard signal transmission; Propagation characteristics; Design of measurement system; Wireless indoor shipboard networks
Citation
WIRELESS PERSONAL COMMUNICATIONS, v.90, no.3, pp.1405 - 1412
Journal Title
WIRELESS PERSONAL COMMUNICATIONS
Volume
90
Number
3
Start Page
1405
End Page
1412
URI
https://scholarworks.bwise.kr/hongik/handle/2020.sw.hongik/7361
DOI
10.1007/s11277-016-3400-z
ISSN
0929-6212
Abstract
It is a crucial factor to determine the locations of the sensor nodes accurately and promptly. It affects the stability of connections among sensors significantly since the routes between signal source and its destination can be established within a minimum time when they are required. To this end it can be achieved through the measurement of the bi-directional channel qualities among the nodes after the locations of the sensor nodes are 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 of the master node. After completing the 1st stage measurement the nodes needing the relay nodes are selected and the measurement action enters into the 2nd stage. In the 2nd stage the measurement between a candidate relay node and the node with a relay node is initiated. After the 2nd stage the relay nodes connecting to the cluster node are determined and the information delivery paths between a node and the cluster head are established. The feasibility of the proposed scheme has been checked by gathering and analyzing the measurement results in the realistic environment to show that the measurement procedure can be applied in the wireless indoor shipboard networks. The indoor propagation characteristics measurement and location determination scheme based on signature sequences can be reliably applied to the shipboard indoor sensor networks.
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