An optimization model for target tracking of mobile sensor network based on motion state prediction in emerging sensor networks-Reference-Cited by-同舟云学术

An optimization model for target tracking of mobile sensor network based on motion state prediction in emerging sensor networks

Published:2017-04-24 Issue:5 Volume:32 Page:3509-3524
ISSN:1064-1246
Container-title:Journal of Intelligent & Fuzzy Systems
language:
Short-container-title:IFS

Author:

Hu Fengjun¹,Tu Chun²

Affiliation:

1. Institute of Information Technology, Zhejiang Shuren University, Hangzhou, Zhejiang, China

2. Brooklyn, NY, Maimonides Medical Center, New York, NY, USA

Publisher

IOS Press

Subject

Artificial Intelligence,General Engineering,Statistics and Probability

Reference49 articles.

1. A survey on distributed topology control techniques for extending the lifetime of battery powered wireless sensor networks;Aziz;IEEE Communication Surveys Tuts,2012

2. Mobile data collecting algorithm based on mixed sink strategy in WSNs;Liu;Journal of Jilin University: Eng and Technol Ed,2015

3. New routing algorithm for mobile wireless sensor network;Xu;Application Research of Computers,2015

4. Gaussian process modeling and multi-step prediction for time series data in wireless sensor network environmental monitoring;Chen;Journal on Communications,2015

5. RF signal estimation algorithm for mobile sensor networks in urban environment;Li;Computer Science,2014

Cited by 5 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. Bearing Fault Prognosis Method Based on Priori Knowledge-Enhanced Particle Filter;Mathematical Problems in Engineering;2022-12-01

2. Multi-objective cooperative control based on evolutionary process optimization of immune algorithm;Service Oriented Computing and Applications;2020-06-26

3. Distributed Error Correction of EKF Algorithm in Multi-Sensor Fusion Localization Model;IEEE Access;2020

4. A target group tracking algorithm based on a hybrid sensor network;Chinese Physics B;2018-08

5. Survey: mobile sensor networks for target searching and tracking;Cyber-Physical Systems;2018-04-03