3D Terrain Multiobjective Deployment Optimization of Heterogeneous Directional Sensor Networks in Security Monitoring

The traditional deployment research on wireless sensor networks (WSNs) has mainly focused on 2D plane and 3D full space; also, the sensors considered are almost always omni-directional sensors and are usually homogeneous. However, this type of research cannot fulfill the diverse requirements require...

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Bibliographic Details
Published in:IEEE transactions on big data Vol. 5; no. 4; pp. 495 - 505
Main Authors: Cao, Bin, Zhao, Jianwei, Lv, Zhihan, Liu, Xin
Format: Journal Article
Language:English
Published: Piscataway The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 01.12.2019
Subjects:
3D terrain
Algorithms
Heterogeneous directional sensor networks (HDSNs)
Mathematical model
Monitoring
Mountains
multiobjective optimization algorithms
Multiple objective analysis
non-probabilistic measure
Optimization
Probabilistic logic
Remote sensors
Sensors
Terrain
Three dimensional models
Three-dimensional displays
Two dimensional displays
Wireless sensor networks
ISSN:2332-7790, 2372-2096
Online Access:Get full text
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Summary:The traditional deployment research on wireless sensor networks (WSNs) has mainly focused on 2D plane and 3D full space; also, the sensors considered are almost always omni-directional sensors and are usually homogeneous. However, this type of research cannot fulfill the diverse requirements required for practical 3D environment. We study the deployment problem of heterogeneous directional sensor networks (HDSNs) on 3D terrain, which is more suitable for practical security monitoring requirements and has more practical significance. In this paper, we propose a novel uncertain comprehensive coverage model: a modified 3D directional sensing model is presented, and a non-probabilistic measure based fusion operator is utilized. We transform the deployment problem into a multiobjective optimization problem by comprehensively considering Coverage, Connectivity Uniformity and Deployment Cost, and we use various state-of-the-art multiobjective optimization algorithm based deployment approaches to address it. We conduct deployment experiments on three types of real-world 3D terrain data (plain, hill and mountain). Through the analysis of the deployment results, we obtain a deeper understanding and insight into the multiobjective deployment problem of HDSN. Meanwhile, we more clearly recognize the characteristics of the deployment approaches.
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ISSN:2332-7790
2372-2096
DOI:10.1109/TBDATA.2017.2685581