TARGET TRACKING BASED ON BASE STATION NODE USING PREDICTION METHOD AND CLUSTER STRUCTURE IN WIRELESS SENSOR NETWORKS
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Summary
Three heuristic models are introduced to select the speed and direction in prediction models that can track the relevant targets more accurately and reduce the number of missing targets.
- Type
- article
- Published
- 2018-06-01
- Cited by
- 0
- References
- 23
- Access
- Open access
- OpenAlex
- https://openalex.org/W2997264206
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:195061580
Keywords
Computer science, Base station, Node (physics), Wireless sensor network, Cluster (spacecraft)
References
- GTSO: Global Trace Synchronization and Ordering Mechanism for Wireless Sensor Network Monitoring Platforms
- Protocols and Architectures for Wireless Sensor Networks
- Dynamic sleep time control in wireless sensor networks
- DCSE: A Dynamic Clustering for Saving Energy in Wireless Sensor Network
- Designing energy efficient target tracking protocol with quality monitoring in wireless sensor networks
- An application-specific protocol architecture for wireless microsensor networks
- Fault-Tolerant Prediction-Based Scheme for Target Tracking Application
- DCTC: dynamic convoy tree-based collaboration for target tracking in sensor networks
- Efficient location tracking using sensor networks
- A survey: localization and tracking mobile targets through wireless sensors network
- Increasing Wireless Sensor Networks Lifetime with New Method
- Predicting multiple target tracking performance for applications on video sequences
- Impact of Random Waypoint Mobility Model on Ant-based Routing Protocol for Wireless Sensor Networks
- Evaluation of communication in wireless underground sensor networks
- Energy-Efficient Wireless Sensor Networks for Precision Agriculture: A Review
- A Comprehensive Survey on Real-Time Applications of WSN
- An accurate prediction method for moving target localization and tracking in wireless sensor networks
- Object tracking sensor networks in smart cities: Taxonomy, architecture, applications, research challenges and future directions
- Real-Time Long-Term Tracking With Prediction-Detection-Correction
- Energy-Efficient Tracking and Localization of Objects in Wireless Sensor Networks
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