A review of localization algorithms for distributed wireless sensor networks in manufacturing

Franceschini, Fiorenzo; Galetto, Maurizio; Maisano, Domenico Augusto Francesco; Mastrogiacomo, Luca

doi:10.1080/09511920601182217

Cited by 73 publications

(42 citation statements)

References 22 publications

(40 reference statements)

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“…They proposed a robust incremental algorithm, dramatically reducing the amount of error propagation. However, this algorithm has relatively high computational complexity and its third stage can hardly be handled without a centralized node [1]. Furthermore, Franceschini et al [1] points out that, under large measurement noise, the algorithm may fail to localize enough nodes.…”

Section: Related Studymentioning

confidence: 99%

“…Over the years, a rich literature has been developed to solve the sensor localization problem from different perspectives [1][2][3]. Franceschini et al characterized them according to four criteria in their survey article [1]: anchor-based vs. anchor free, incremental vs. concurrent, fine-grained vs. coarse-grained, and centralized vs. distributed.…”

Section: Introductionmentioning

confidence: 99%

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Dimension expansion and customized spring potentials for sensor localization

Kulkarni

Poor

2013

EURASIP J. Adv. Signal Process.

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The spring model algorithm is an important distributed algorithm for solving wireless sensor network (WSN) localization problems. This article proposes several improvements on the spring model algorithm for solving WSN localization problems with anchors. First, the two-dimensional (2D) localization problem is solved in a three-dimensional (3D) space. This "dimension expansion" technique can effectively prevent the spring model algorithm from falling into local minima, which is verified both theoretically and empirically. Second, the Hooke spring force, or quadratic potential function, is generalized into L p potential functions. The optimality of different values of p is considered under different noise environments. Third, a customized spring force function, which has larger strength when the estimated distance between two sensors is close to the true length of the spring, is proposed to increase the speed of convergence. These techniques can significantly improve the robustness and efficiency of the spring model algorithm, as demonstrated by multiple simulations. They are particularly effective in a scenario with anchor points of longer broadcasting radius than other sensors.

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Section: Related Studymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Dimension expansion and customized spring potentials for sensor localization

Kulkarni

Poor

2013

EURASIP J. Adv. Signal Process.

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“…Therefore, it is usual to assume that each SU is equipped with a positioning device enabling self-positioning capabilities [41,43,49], in particular using Global Position System (GPS) for absolute location information (i.e., defining the position in a system of coordinates) [14,50]. However, GPS presents various limitations, as it may not be available for all nodes in the network, is not appropriate for indoor usage, is inefficient in terms of power consumption, and may represent an additional cost not always supportable [51,52]. Despite such difficulties, Celbi and Arslan [14] state that location awareness is an essential characteristic of SUs and that they should be able to realize seamless positioning and interoperability between different positioning systems.…”

Section: Location-and Distance-based Approachesmentioning

confidence: 99%

A survey on security attacks and countermeasures with primary user detection in cognitive radio networks

Marinho

Granjal

Monteiro

2015

EURASIP J. on Info. Security

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Currently, there are several ongoing efforts for the definition of new regulation policies, paradigms, and technologies aiming a more efficient usage of the radio spectrum. In this context, cognitive radio (CR) emerges as one of the most promising players by enabling the dynamic access to vacant frequency bands on a non-interference basis. However, the intrinsic characteristic of CR opens new ways for attackers, namely in the context of the effective detection of incumbent or primary users (PUs), the most fundamental and challenging requirement for the successful operation of CR networks. In this article, we provide a global and integrated vision of the main threats affecting CR environments in the context of the detection of primary users, with a particular focus on spectrum sensing data falsification and primary user emulation attacks. We also address solutions and research challenges still required to address such threats. Our discussion aims at being complete and self-contained, while also targeting readers with no specific background on this important topic of CR environments. It is, as far as our knowledge goes, the first work providing a global and clear vision of security threats and countermeasures in the context of primary user detection in CR.

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“…This last physical quantity is widely used, in cost-effective and flexible systems, by leveraging different methods. Focusing on RF-based methodologies, the main sampled quantities, observed to perform localization, are: Angle of Arrival, Time of Flight, Differences in Time of Arrival, Received Signal Strength (RSS) [2][3][4]. Depending on the observed quantity it is possible to adopt a method based on Lateration/Angulation (computing a precise position in space from three or more measurements of distance/angle from known locations [3]) or on Fingerprinting (defining specific areas in the environment and identifying the target presence in one of them [3]).…”

Section: Indoor Humans Localization/trackingmentioning

confidence: 99%

Method, Design and Implementation of an Indoor Tracking System with Concurrent Fault Localization

Veronese¹,

Comai²,

Salice³

2015

ICST Transactions on Ubiquitous Environments

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Thanks to the diffusion of wearable devices there are several indoor tracking systems. Among them, RF-based have been deeply studied for their flexibility and limited costs. These systems can be employed as assistive tools only being dependable, identifying faults. We propose two methods to provide multiuser tracking with concurrent localization of natural hardware and human-made faults. The first method relies on independent measurement systems and on a model-based fault localization apparatus, checking for discrepancies in the subsystems behavior. The second provides an estimation of the fault probability for each device, based on the data collected at runtime. These methods aim to provide dependable tracking for fragile people (such as elderly or people with small impairments). We present examples of Indoor Human Tracking simulations in a large environment, and an implemented case-study. The collected data confirm the validity of both the approaches and highlight their diversity.

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A review of localization algorithms for distributed wireless sensor networks in manufacturing

Cited by 73 publications

References 22 publications

Dimension expansion and customized spring potentials for sensor localization

Dimension expansion and customized spring potentials for sensor localization

A survey on security attacks and countermeasures with primary user detection in cognitive radio networks

Method, Design and Implementation of an Indoor Tracking System with Concurrent Fault Localization

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