RSSI and LQI Data Clustering Techniques to Determine the Number of Nodes in Wireless Sensor Networks
Abstract
With the rapid proliferation of wireless sensor networks, different network topologies are likely to exist in the same geographical region, each of which is able to perform its own functions individually. However, these networks are prone to cause interference to neighbor networks, such as data duplication or interception. How to detect, determine, and locate the unknown wireless topologies in a given geographical area has become a significant issue in the wireless industry. This problem is especially acute in military use, such as spy-nodes detection and communication orientation systems. In this paper, three different clustering methods are applied to classify the RSSI and LQI data recorded from the unknown wireless topology into a certain number of groups in order to determine the number of active sensor nodes in the unknown wireless topology. The results show that RSSI and LQI data are capable of determining the number of active communication nodes in wireless topologies.
Recommended Citation
Y. Wang et al., "RSSI and LQI Data Clustering Techniques to Determine the Number of Nodes in Wireless Sensor Networks," International Journal of Distributed Sensor Networks, vol. 2014, Taylor & Francis, May 2014.
The definitive version is available at https://doi.org/10.1155/2014/380526
Department(s)
Engineering Management and Systems Engineering
Keywords and Phrases
Cluster analysis; Clustering algorithms; Electric network topology; Topology
International Standard Serial Number (ISSN)
1550-1329; 1550-1477
Document Type
Article - Journal
Document Version
Final Version
File Type
text
Language(s)
English
Rights
© 2014 Yanwen Wang et al., All rights reserved.
Publication Date
01 May 2014