1. Multi-level trust-based secure and optimal IoT-WSN routing for environmental monitoring applications.
- Author
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Sharma, Vishal, Beniwal, Rohit, and Kumar, Vinod
- Subjects
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ENVIRONMENTAL monitoring , *MULTICASTING (Computer networks) , *OPTIMIZATION algorithms , *WIRELESS sensor networks , *TRUST , *NETWORK performance , *INTERNET of things , *DATA transmission systems - Abstract
Wireless sensor networks (WSNs) are a critical component of the Internet of Things (IoT) which can be used in various fields, including environmental monitoring, smart agriculture, etc. However, WSNs used in environmental monitoring particularly in border areas are vulnerable to various security threats caused by illegal intruders who perform eavesdropping, garnishing, gray-hole attacks, etc. to compromise the network and forge the sensitive data. A multi-level hierarchical secure and optimal routing (ML-HSOR) protocol is proposed to overcome these issues. The proposed ML-HSOR protocol has four stages: registration, clustering, authentication, and optimal routing. In the registration step, the new sensor nodes are registered with the base station (BS) using unique identities. In the clustering stage, a Markov model with adaptive weighting mechanism is used to choose the most suitable node as the cluster head (CH), enhancing network lifespan and performance. The authentication stage involves a multi-level trust evaluation to detect malicious nodes. The aggregated message and timestamp are encrypted, and finally, the optimal data transmission path is chosen based on the polarity learning-based chimp optimization algorithm (PL-COA). This approach computes node fitness based on residual energy, distance, link quality, delay, and trust, ensuring high packet delivery ratio (PDR) (99.8% for 500 nodes), high throughput (48,000 bits per second for 500 nodes), less delay (0.058s for 500 nodes), high detection rate (95%), and less energy consumption (0.39 J for 500 nodes). [ABSTRACT FROM AUTHOR]
- Published
- 2024
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