Optimizing Underwater IoT Routing with Multi-Criteria Decision Making and Uncertainty Weights
Author:
Affiliation:
1. University of California, Davis,Electrical and Computer Engineering,Davis,USA
2. Sapienza University of Rome,Department of Civil Engineering,Rome,Italy
3. Arya institute,Istanbul,Turkey
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10648985/10648990/10649101.pdf?arnumber=10649101
Reference20 articles.
1. An efficient adaptive compressive sensing technique for underwater image compression in IoUT
2. Internet of underwater things communication: Architecture, technologies, research challenges and future opportunities
3. An empirical study on underwater acoustic sensor networks based on localization and routing approaches
4. Underwater sensor networks: ‘Comparative analysis on applications, deployment and routing techniques’
5. CR-NBEER: Cooperative-Relay Neighboring-Based Energy Efficient Routing Protocol for Marine Underwater Sensor Networks
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