Selecting redundant nodes when addressing availability in wireless visual sensor networks

Costa, Daniel G.; Silva, Ivanovitch; Guedes, Luiz Affonso; Portugal, Paulo; Vasques, Francisco

doi:10.1109/indin.2014.6945496

Cited by 23 publications

(16 citation statements)

References 21 publications

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“…Several papers can be founded surveying some aspect of dependability on WSNs [ 10 , 15 , 16 , 17 , 18 , 19 , 20 , 21 , 22 , 23 , 24 , 25 ], while some others papers survey WVSNs [ 26 , 27 , 28 , 29 , 30 , 31 ] as their main research areas. However, just a few works have discussed dependability aspects of WVSNs, with emphasis on the availability assessment [ 14 , 32 , 33 , 34 , 35 ].…”

Section: Related Workmentioning

confidence: 99%

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Automated Methodology for Dependability Evaluation of Wireless Visual Sensor Networks

Jesus

Portugal

Vasques

et al. 2018

Sensors

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Wireless sensor networks have been considered as an effective solution to a wide range of applications due to their prominent characteristics concerning information retrieving and distributed processing. When visual information can be also retrieved by sensor nodes, applications acquire a more comprehensive perception of monitored environments, fostering the creation of wireless visual sensor networks. As such networks are being more often considered for critical monitoring and control applications, usually related to catastrophic situation prevention, security enhancement and crises management, fault tolerance becomes a major expected service for visual sensor networks. A way to address this issue is to evaluate the system dependability through quantitative attributes (e.g., reliability and availability), which require a proper modeling strategy to describe the system behavior. That way, in this paper, we propose a methodology to model and evaluate the dependability of wireless visual sensor networks using Fault Tree Analysis and Markov Chains. The proposed modeling strategy considers hardware, battery, link and coverage failures, besides considering routing protocols on the network communication behavior. The methodology is automated by a framework developed and integrated with the SHARPE (Symbolic Hierarchical Automated Reliability and Performance Evaluator) tool. The achieved results show that this methodology is useful to compare different network implementations and the corresponding dependability, enabling the uncovering of potentially weak points in the network behavior.

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Section: Related Workmentioning

confidence: 99%

“…Redundancy in WVSNs is considered in [ 33 , 35 ], and used as a dependability metric. In these cases, availability is evaluated with respect to the redundancy level.…”

Section: Related Workmentioning

confidence: 99%

Automated Methodology for Dependability Evaluation of Wireless Visual Sensor Networks

Jesus

Portugal

Vasques

et al. 2018

Sensors

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“…In a different perspective, target viewing may be related to network availability [6], exploiting visual sensing redundancy to compensate failures in sensor nodes. Actually, sensing redundancy in WVSN is not straightforward and there are some relevant issues that should be properly considered [6,10], as the perception of redundancy depends on applications monitoring requirements [11]. Target viewing may also be maximized when adjustable visual sensors are deployed, and the monitoring quality will be a function of visual redundancy over targets [12].…”

Section: Related Workmentioning

confidence: 99%

“…Actually, sensing redundancy may be exploited to extend the network lifetime, when redundant nodes are deactivated, but redundancy selection is still a challenging issue in wireless visual sensor networks. In [23], algorithms for redundancy selection in WVSN were proposed. In a similar way, the work in [24] also addressed redundancy selection for availability enhancement, but it considers the targets perspectives when defining if sensors that are viewing the same target can be assumed as redundant.…”

Section: Related Workmentioning

confidence: 99%

Assessing Availability in Wireless Visual Sensor Networks Based on Targets’ Perimeters Coverage

Costa

Durán-Faúndez

2016

Journal of Electrical and Computer Engineering

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Availability in wireless visual sensor networks is a major design issue that is directly related to applications monitoring quality. For targets monitoring, visual sensors may be deployed to cover most or all of targets, and monitoring quality may be focused on how well a set of targets are being covered. However, targets may have different dimensions and it is expected that large targets may be only partially viewed by source nodes, which may affect coverage quality and lead to a state of unavailability. In this context, this article analyzes the effect of target’s size on effective coverage in wireless visual sensor networks. A new coverage metric, the Effective Target Viewing (ETV), is proposed to measure monitoring quality over a set of targets, which is exploited as a fundamental parameter for availability assessment. Results show that ETV can be used as a practical coverage metric when assessing availability in wireless visual sensor networks.

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“…In [3] it is proposed a metric to compute the coverage quality for target coverage, which is based on node clustering. In [12], authors propose the selection of redundant nodes for different types of visual monitoring. Two sensors may be selected as redundant nodes depending on a minimum level of coverage overlapping and maximum angle between sensors' orientations, differently impacting visual monitoring applications.…”

Section: Related Workmentioning

confidence: 99%

Enhancing Redundancy in Wireless Visual Sensor Networks for Target Coverage

Costa

Silva

Guedes

et al. 2014

Proceedings of the 20th Brazilian Symposium on Multimedia and the Web

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Wireless visual sensor networks provide valuable information for many monitoring and control applications. Sometimes, a set of targets need to be monitored by deployed visual sensors. For those networks, however, some active visual sources may fail, potentially degrading the application monitoring quality when targets become uncovered. Moreover, some applications may need different perspectives of the same target. As visual sensors will be used to monitor a set of targets, a high level of monitoring redundancy may be required and an effective way to achieve it is assuring that targets are being concurrently viewed by more than one visual sensor. We propose a centralized greedy algorithm to enhance redundancy in wireless visual sensor networks when visual sensors with adjustable orientations are deployed. Additionally, as some targets may be more critical for the application, we propose a priority-based configuration of the sensors' poses in order to find an optimized configuration for the visual sensors.

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Selecting redundant nodes when addressing availability in wireless visual sensor networks

Cited by 23 publications

References 21 publications

Automated Methodology for Dependability Evaluation of Wireless Visual Sensor Networks

Automated Methodology for Dependability Evaluation of Wireless Visual Sensor Networks

Assessing Availability in Wireless Visual Sensor Networks Based on Targets’ Perimeters Coverage

Enhancing Redundancy in Wireless Visual Sensor Networks for Target Coverage

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