Distributed localization in cluttered underwater environments

Hussain, Muzammil; Trigoni, Niki

doi:10.1145/1868812.1868820

Cited by 15 publications

(7 citation statements)

References 14 publications

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“…In our previous work [11], we showed that the application of multi-hop localization in cluttered environments can yield significant improvements in localization accuracy. We proposed the use of 'localizers' for enabling better localization accuracy in the presence of clutter between the references and unlocalized nodes.…”

Section: Distributed Multi-hop Localization In Cluttered Environmmentioning

confidence: 98%

“…While OPTPLACDVDIST [11] illustrates that a relatively small number of localizers, carefully placed in midst of the clutter, can produce significant improvements in the localization accuracy in an obstacle-prone environment, it makes two strong assumptions. First, it assumes that the clutter topology is known beforehand and, second, it assumes that the localizers can position themselves accurately in their pre-determined optimal positions.…”

Section: Adaptplacdvdist Implementationmentioning

confidence: 99%

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Dynamic node placement for multi-hop localization in cluttered environments

Hussain

Trigoni

2011

2011 8th Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks

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Fig. 1. Classification of distance measurements as line of sight (LOS) and non line of sight (NLOS) I. OVERVIEW AND MOTIVATIONAccurate localization in wireless sensor actuator networks (WSANs) is crucial since a primary purpose in their deployments is accomplishing tasks based on a spatial dimension in the environment -be it sensor data collection or actuation.Localization accuracy is severely debilitated in the presence of obstacles between the references with known positions and the unlocalized node. The reason is the occurrence of reflected non-line-of-sight (NLOS) distance measurements, as shown in Fig. (1), in contrast to line-of-sight (LOS) distance measurements that are found in a clutter-free scenario. The large positive biases of NLOS distances typically result in large localization errors. For example, GPS satellite signals suffer from NLOS incidence in urban canyon environments, i.e., in a city block with tall skyscrapers, which obscure the direct view between the GPS receiver and the GPS satellites. Similarly, an underwater robot, mapping a closed cluttered industrial tank will have difficulty in localizing accurately with obstacles between itself and the surface anchors.Various NLOS detection and mitigation techniques for cellular and Ultra WideBand (UWB) localization have been proposed in the literature [1]-[10]. Wylie et al. [8] and Jourdan et al. [9] require both the identification and characterization of the NLOS distances. Chen [7] uses the least squares residual as an indicator of the inherently unknown NLOS error in a given set of LOS and NLOS distances. However all these require that the NLOS distances form the minority of the total available distance measurements. II. DISTRIBUTED MULTI-HOP LOCALIZATION IN CLUTTERED ENVIRONMENTSIn our previous work [11], we showed that the application of multi-hop localization in cluttered environments can yield significant improvements in localization accuracy. We proposed the use of 'localizers' for enabling better localization accuracy in the presence of clutter between the references and unlocalized nodes. Localizers help these nodes to localize more accurately than they would in case of single-hop localization, which will involve distance measurements with large NLOS errors. The benefits of multi-hop localization in clutter are especially pronounced when all references/anchors are occluded from the node/robot that needs to be localized. In this case, all distance measurements from the references to the unlocalized node are NLOS in nature. We saw that DV-Distance [12], [13] has significant advantages over iterative localization [14] as a multi-hop localization technique used in NLOS-prone environments. A centralized optimal localizer placement algorithm, OPTPLACDVDIST, was proposed, which, for a given clutter topology, will output optimal positions for localizers such that the multi-hop distance error between a reference and the unlocalized node is minimized. Fig. (2) shows a sample output generated by OPTPLACDVDIST for the given clutter topology. III. AD...

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Section: Distributed Multi-hop Localization In Cluttered Environmmentioning

confidence: 98%

Section: Adaptplacdvdist Implementationmentioning

confidence: 99%

Dynamic node placement for multi-hop localization in cluttered environments

Hussain

Trigoni

2011

2011 8th Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks

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“…Author [7] maximize the network lifetime for target coverage problem by organizing the sensors into maximum disjoint set covers and these are activated successively. Author [8] focused on one of the major issues of target coverage problem of sensor network that is maximize the network lifetime, which can be solved by selecting minimum working nodes that will cover all the targets. The main objective is to determine the coverage ratio of all targets which have been significantly improved in comparison with the basic ant colony algorithm.…”

Section: Literature Surveymentioning

confidence: 99%

Exploration to the Issues Associated with Different Coverage Methods in WSN

Sharma¹

2015

IJCA

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A Sensor network is defined as the critical situational network in which, some critical nodes are defined with energy constraints. To improve the network reliability, such kinds of networks are defined under different coverage methods. These methods includes area coverage, target coverage etc. The area coverage is effective to reduce the chances of orphan nodes under limited sensing range analysis. In same way, target coverage is effective to provide backup to critical nodes. In this work, various issues associated with various coverage methods are explored.

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“…Author defined the requirement ntwork in sensor network with node location identification. Muzammil Hussain [8] has improved the localization mechanism for clustered sensor network under different performance parameters. Author improved the multihop communication and position estimation in distributed sensor network.…”

Section: A)target Coverage Problemmentioning

confidence: 99%

A zone adaptive distance and failure analysis approach for reliable target tracking

Saroha¹,

Sharma²

2014

2014 5th International Conference - Confluence the Next Generation Information Technology Summit (Confluence)

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A sensor network is defined with normal nodes and critical target nodes. To improve the network lifetime it is required to monitor these target nodes effectively. In traditional algorithm distance analysis based approach is used for target acceptability. In this paper, a zone adaptive distance approach is defined to identify the cover node to track the target. The work is defined in three main stages. In first stage, the zone distance, energy and fault based analysis is performed to identify the cover nodes. In second stages, the cover fault analysis based approach is used to identify the coverset. In third stage, the energy and fault adaptive coverset activation sequence is defined so that effective target tracking will be obtained. The presented work is implemented in matlab environment. The result shows the significant improvement in network life.

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Distributed localization in cluttered underwater environments

Cited by 15 publications

References 14 publications

Dynamic node placement for multi-hop localization in cluttered environments

Dynamic node placement for multi-hop localization in cluttered environments

Exploration to the Issues Associated with Different Coverage Methods in WSN

A zone adaptive distance and failure analysis approach for reliable target tracking

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