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

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Research

Open AccessArticle Parallel Computational Intelligence-Based Multi-Camera Surveillance System
J. Sens. Actuator Netw. 2014, 3(2), 95-112; doi:10.3390/jsan3020095
Received: 16 December 2013 / Revised: 19 March 2014 / Accepted: 1 April 2014 / Published: 11 April 2014
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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
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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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Open AccessArticle Adaptive Decentralized Control of Mobile Underwater Sensor Networks and Robots for Modeling Underwater Phenomena
J. Sens. Actuator Netw. 2014, 3(2), 113-149; doi:10.3390/jsan3020113
Received: 2 April 2014 / Revised: 6 May 2014 / Accepted: 7 May 2014 / Published: 22 May 2014
Cited by 2 | PDF Full-text (4717 KB) | HTML Full-text | XML Full-text
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
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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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Open AccessArticle A Survey of Access Control Models in Wireless Sensor Networks
J. Sens. Actuator Netw. 2014, 3(2), 150-180; doi:10.3390/jsan3020150
Received: 23 January 2014 / Revised: 20 May 2014 / Accepted: 11 June 2014 / Published: 20 June 2014
Cited by 4 | PDF Full-text (944 KB) | HTML Full-text | XML Full-text
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
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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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