3D Wireless Sensor Network

A special issue of Journal of Sensor and Actuator Networks (ISSN 2224-2708).

Deadline for manuscript submissions: closed (30 November 2015)

Special Issue Editor


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Guest Editor
The Center for Advanced Computer Studies (CACS), University of Louisiana at Lafayette, Lafayette, Louisiana 70504, USA
Interests: algorithm; wireless sensor networks

Special Issue Information

Dear Colleagues,

A wireless sensor network (WSN) is built upon a large number of low cost sensor nodes. While a two-dimensional (2D) planar setting is assumed in most early studies for WSNs, there have been increasing interests in deploying wireless sensors on three-dimensional (3D) surfaces for applications such as seismic monitoring on ocean floors or in mountainous regions, and in 3D volume for applications such as underwater reconnaissance and atmospheric monitoring. In general, a WSN is deemed a 3D network if the maximum difference between sensors’ heights are greater than their radio transmission range. Several exploratory test beds of 3D WSNs have been developed recently in space and underwater. We foresee that large-scale deployment of 3D WSNs will be demanded in the near future, although surprising challenges are observed in efforts to extend many 2D network techniques to 3D space.

For this Special Issue, we are interested in papers that emphasize the potential challenges and intend to understand, analyze, design, implement, evaluate, and prototype protocols for WSNs deployed in 3D.

Dr. Miao Jin
Guest Editor

Manuscript Submission Information

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Published Papers (1 paper)

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Article
On Optimal Multi-Sensor Network Configuration for 3D Registration
by Hadi Aliakbarpour, V. B. Surya Prasath and Jorge Dias
J. Sens. Actuator Netw. 2015, 4(4), 293-314; https://doi.org/10.3390/jsan4040293 - 04 Nov 2015
Cited by 4 | Viewed by 7238
Abstract
Multi-sensor networks provide complementary information for various taskslike object detection, movement analysis and tracking. One of the important ingredientsfor efficient multi-sensor network actualization is the optimal configuration of sensors.In this work, we consider the problem of optimal configuration of a network of coupledcamera-inertial [...] Read more.
Multi-sensor networks provide complementary information for various taskslike object detection, movement analysis and tracking. One of the important ingredientsfor efficient multi-sensor network actualization is the optimal configuration of sensors.In this work, we consider the problem of optimal configuration of a network of coupledcamera-inertial sensors for 3D data registration and reconstruction to determine humanmovement analysis. For this purpose, we utilize a genetic algorithm (GA) based optimizationwhich involves geometric visibility constraints. Our approach obtains optimal configurationmaximizing visibility in smart sensor networks, and we provide a systematic study usingedge visibility criteria, a GA for optimal placement, and extension from 2D to 3D.Experimental results on both simulated data and real camera-inertial fused data indicate weobtain promising results. The method is scalable and can also be applied to other smartnetwork of sensors. We provide an application in distributed coupled video-inertial sensorbased 3D reconstruction for human movement analysis in real time. Full article
(This article belongs to the Special Issue 3D Wireless Sensor Network)
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