An Enhanced Trust-Based Kalman Filter Route Optimization Technique for Wireless Sensor Networks
| Autor: | Surendra Singh Choudhary, Rajasekhar Butta, Pankaj Dadheech, Rajesh Verma, Sudhakar Sengan, Rajeshkumar Govindaraj, Anjana Poonia, Satheesh Narayanasami, Dilip Kumar Sharma, Neeraj Kumar Shukla |
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| Rok vydání: | 2021 |
| Předmět: |
Computer science
ComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKS Real-time computing Particle swarm optimization 020206 networking & telecommunications 02 engineering and technology Kalman filter Computer Science Applications Base station 0202 electrical engineering electronic engineering information engineering Kalman filter algorithm 020201 artificial intelligence & image processing Electrical and Electronic Engineering Wireless sensor network Computer communication networks |
| Zdroj: | Wireless Personal Communications. 127:1311-1329 |
| ISSN: | 1572-834X 0929-6212 |
| Popis: | Wireless Sensor Networks are generally employed for observing and monitoring specific environments. WSNs are made from a huge amount of low-cost sensor nodes separated and distributed in different environments for distributing data through sensor nodes. The collection of data by the various sensors were transmitted into the Base Station. An enhanced Trust-Based Adaptive Acknowledgment based Intrusion-Detection System was proposed from positive distributions in WSNs. A Kalman filter algorithm is used in Multi-objective Particle Swarm Optimization to predict trust nodes over the WSN. Simulations were carried out for non-malicious (0% malicious) networks, and various ranges of malicious nodes in the network were investigated. The outcomes show that the proposed MPSO achieves an improvement of 3.3% than PSO at 0% malicious nodes concerning the PDR. Similarly, at 30% malicious, the PDR of MPSO achieves better by 3.5% than PSO in WSN. |
| Databáze: | OpenAIRE |
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