Efficient approximation approaches to minimal exposure path problem in probabilistic coverage model for wireless sensor networks-Reference-Cited by-同舟云学术

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Efficient approximation approaches to minimal exposure path problem in probabilistic coverage model for wireless sensor networks

Published:2019-03 Issue: Volume:76 Page:726-743
ISSN:1568-4946
Container-title:Applied Soft Computing
language:en
Short-container-title:Applied Soft Computing

Author:

Binh Huynh Thi Thanh^ORCID,Binh Nguyen Thi My^ORCID,Ngoc Nguyen Hong,Ly Dinh Thi Ha,Nghia Nguyen Duc

Funder

Vietnam National Foundation for Science and Technology DevelopmentVietnam National Foundation for Science and Technology Development (NAFOSTED)

Publisher

Elsevier BV

Subject

Software

Reference25 articles.

1. Coverage problems in wireless ad-hoc sensor networks;Meguerdichian,2001

2. Worst and best-case coverage in sensor networks;Megerian;IEEE Trans. Mob. Comput.,2005

3. Coverage problems in sensor networks: A survey;Wang;ACM Comput. Surv.,2011

4. Exposure in wireless sensor networks: theory and practical solutions;Megerian;Wirel. Netw.,2002

5. Exposure in wireless ad-hoc sensor networkse;Meguerdichian,2001

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1. An efficient exact method with polynomial time-complexity to achieve k-strong barrier coverage in heterogeneous wireless multimedia sensor networks;Journal of Network and Computer Applications;2024-11

2. A Method to Optimize Deployment of Directional Sensors for Coverage Enhancement in the Sensing Layer of IoT;Future Internet;2024-08-22

3. An Efficient Method for Solving the Best Coverage Path Problem in Homogeneous Wireless Ad-Hoc Sensor Networks;Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering;2024

4. An Efficient Approach to the k-Strong Barrier Coverage Problem Under the Probabilistic Sensing Model in Wireless Multimedia Sensor Networks;Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering;2024

5. Minimal Exposure Paths in Time-Varying Fields: A Semi-Lagrangian Approach;IEEE Robotics and Automation Letters;2023-02

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