Energy efficient target tracking in wireless sensor network using PF-SVM (particle filter-support vector machine) technique-Reference-Cited by-同舟云学术

Energy efficient target tracking in wireless sensor network using PF-SVM (particle filter-support vector machine) technique

Published:2023-04 Issue: Volume:26 Page:100667
ISSN:2665-9174
Container-title:Measurement: Sensors
language:en
Short-container-title:Measurement: Sensors

Author:

Reddy Madhavi K.,Mohd Nawi Mohd Nasrun,Bhaskar Reddy B.,Baboji K.,Hari Kishore Kakarla,Manikanthan S.V.

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Industrial and Manufacturing Engineering,Mechanics of Materials,Electronic, Optical and Magnetic Materials

Reference16 articles.

1. Target tracking in wireless sensor network;Chauhan;Int. J. Inf. Comput. Technol.,2014

2. Particle filter based target tracking in wireless sensor networks using support vector machine;Rezaee;Computer and Knowledge Engineering,2018

3. A comparative study of target tracking with Kalman filter, extended Kalman filter and particle filter using received signal strength measurements;Khan,2015

4. A new distributed particle filtering for WSN target tracking;Gao,2009

5. Distributed particle filters for sensor networks;Coates,2004

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Load Energy Control of Autonomous Connected Vehicles Based on ML Approach;2024 4th International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET);2024-05-16

2. Optimizing Energy Resources in WSNs: ARIMA Feature Selection Meets Adaptive Reinforcement Learning;Fiber and Integrated Optics;2024-03-03

3. DBKNN and Radial-ANFIS Model for Energy Efficient Wireless Sensor Network;IEEE Access;2024