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Interference Sources Localization and Communication Relationship Inference With Cognitive Radio IoT Networks
- Source :
- IEEE Access, Vol 8, Pp 103062-103072 (2020)
- Publication Year :
- 2020
- Publisher :
- IEEE, 2020.
-
Abstract
- With the widespread application of Internet of things (IoT), the interference problem becomes more and more serious, which results in not only the poor network performance but also the increased energy consumption of IoT nodes. Therefore, in this paper, we investigate the problem of how to locate the interference sources and infer their communication relationships in the cognitive radio IoT (CR-IoT) deployment scenario. First, we utilize MDS-MAP(P) algorithm with dynamic power control to realize cooperative self-localization of the CR-IoT nodes, which is more energy-efficient than all the IoT nodes equipped with global positioning system (GPS) receivers. Then, we propose a non-cooperative localization method to determine the inference sources with the angle of arrivals (AoAs) measured by the CR-IoT nodes. Finally, the communication relationship between interference sources can be inferred based on the association rule of signals. The network simulation results validate that the proposed methods can locate the interference sources accurately with low energy consumption and correctly infer their communication relationships, which is helpful for the interrupted CR-IoT nodes to take a specific opportunistic transmission policy to reduce their energy consumption.
- Subjects :
- The Internet of Things (IoT)
General Computer Science
Association rule learning
Computer science
business.industry
General Engineering
communication relationship inference
Inference
Energy consumption
Interference (wave propagation)
localization
Network simulation
Cognitive radio
green
Global Positioning System
General Materials Science
Network performance
lcsh:Electrical engineering. Electronics. Nuclear engineering
business
lcsh:TK1-9971
Computer network
Subjects
Details
- Language :
- English
- ISSN :
- 21693536
- Volume :
- 8
- Database :
- OpenAIRE
- Journal :
- IEEE Access
- Accession number :
- edsair.doi.dedup.....7f9219899f926324ed3226e55d858261