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684 KiB

Open AccessArticle

Parallel Computational Intelligence-Based Multi-Camera Surveillance System

by Sergio Orts-Escolano, Jose Garcia-Rodriguez, Vicente Morell, Miguel Cazorla, Jorge Azorin and Juan Manuel Garcia-Chamizo

J. Sens. Actuator Netw. 2014, 3(2), 95-112; https://doi.org/10.3390/jsan3020095 - 11 Apr 2014

Cited by 6 | Viewed by 9148

Abstract

In this work, we present a multi-camera surveillance system based on the use of self-organizing neural networks to represent events on video. The system processes several tasks in parallel using GPUs (graphic processor units). It addresses multiple vision tasks at various levels, such [...] Read more.

In this work, we present a multi-camera surveillance system based on the use of self-organizing neural networks to represent events on video. The system processes several tasks in parallel using GPUs (graphic processor units). It addresses multiple vision tasks at various levels, such as segmentation, representation or characterization, analysis and monitoring of the movement. These features allow the construction of a robust representation of the environment and interpret the behavior of mobile agents in the scene. It is also necessary to integrate the vision module into a global system that operates in a complex environment by receiving images from multiple acquisition devices at video frequency. Offering relevant information to higher level systems, monitoring and making decisions in real time, it must accomplish a set of requirements, such as: time constraints, high availability, robustness, high processing speed and re-configurability. We have built a system able to represent and analyze the motion in video acquired by a multi-camera network and to process multi-source data in parallel on a multi-GPU architecture. Full article

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4717 KiB

Open AccessArticle

Adaptive Decentralized Control of Mobile Underwater Sensor Networks and Robots for Modeling Underwater Phenomena

by Carrick Detweiler, Sreeja Banerjee, Marek Doniec, Mingshun Jiang, Francesco Peri, Robert F. Chen and Daniela Rus

J. Sens. Actuator Netw. 2014, 3(2), 113-149; https://doi.org/10.3390/jsan3020113 - 22 May 2014

Cited by 7 | Viewed by 10065

Abstract

Understanding the dynamics of bodies of water and their impact on the global environment requires sensing information over the full volume of water. In this article, we develop a gradient-based decentralized controller that dynamically adjusts the depth of a network of underwater sensors [...] Read more.

Understanding the dynamics of bodies of water and their impact on the global environment requires sensing information over the full volume of water. In this article, we develop a gradient-based decentralized controller that dynamically adjusts the depth of a network of underwater sensors to optimize sensing for computing maximally detailed volumetric models. We prove that the controller converges to a local minimum and show how the controller can be extended to work with hybrid robot and sensor network systems. We implement the controller on an underwater sensor network with depth adjustment capabilities. Through simulations and in-situ experiments, we verify the functionality and performance of the system and algorithm. Full article

(This article belongs to the Special Issue Underwater Sensor Networks)

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944 KiB

Open AccessArticle

A Survey of Access Control Models in Wireless Sensor Networks

by Htoo Aung Maw, Hannan Xiao, Bruce Christianson and James A. Malcolm

J. Sens. Actuator Netw. 2014, 3(2), 150-180; https://doi.org/10.3390/jsan3020150 - 20 Jun 2014

Cited by 30 | Viewed by 11507

Abstract

Wireless sensor networks (WSNs) have attracted considerable interest in the research community, because of their wide range of applications. However, due to the distributed nature of WSNs and their deployment in remote areas, these networks are vulnerable to numerous security threats that can [...] Read more.

Wireless sensor networks (WSNs) have attracted considerable interest in the research community, because of their wide range of applications. However, due to the distributed nature of WSNs and their deployment in remote areas, these networks are vulnerable to numerous security threats that can adversely affect their proper functioning. Resource constraints in sensor nodes mean that security mechanisms with a large overhead of computation and communication are impractical to use in WSNs; security in sensor networks is, therefore, a challenge. Access control is a critical security service that offers the appropriate access privileges to legitimate users and prevents illegitimate users from unauthorized access. However, access control has not received much attention in the context of WSNs. This paper provides an overview of security threats and attacks, outlines the security requirements and presents a state-of-the-art survey on access control models, including a comparison and evaluation based on their characteristics in WSNs. Potential challenging issues for access control schemes in WSNs are also discussed. Full article

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J. Sens. Actuator Netw., Volume 3, Issue 2 (June 2014) – 3 articles , Pages 95-180

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