Boundary-Improved Distance Vector-Hop Localization Method with Multipower Correction for Wireless Sensor Networks

Chwan‐Lu, Tseng; Liu, Foun-Yuan; Cheng‐Han, Lin; Lee, Ching-Yin

doi:10.18494/sam.2017.1489

Cited by 2 publications

(2 citation statements)

References 11 publications

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“…Various types of deployment fields are chosen to eliminate the impact of field properties on the behavior of the algorithm. The path loss factor in these fields is assumed to be 4 [38]. Sensor nodes are heterogeneous with the transmission powers varying from -5dBm to -15dBm.…”

Section: Results and Analysismentioning

confidence: 99%

A Method for Fault Tolerant Localization of Heterogeneous Wireless Sensor Networks

Bhat

Santhosh

2021

IEEE Access

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Location information of nodes in Wireless Sensor Networks (WSN) is essential to identify the origins of events and to act on them. Several localization algorithms are developed for this purpose. In this work, we have considered hop based localization algorithms, which are popularly used in WSN applications. These algorithms use a few reference nodes with location information and localize other nodes with reference to these nodes. But, in practical scenarios, some reference nodes may turn faulty and report incorrect location information to other nodes. This reduces the localization accuracy of the entire network. Therefore, it is essential to identify and filter out faulty reference nodes from the localization process. But, in Heterogeneous Wireless Sensor Networks (HWSN), since both faulty nodes and heterogeneous nodes modify hop distances, it becomes even more challenging to identify only faulty nodes among a set of heterogeneous nodes. In this work, we have reported a fault filtering method that can be used with any of the existing hop based localization algorithms for fault-tolerant localization. This method first normalizes the distance estimations using the communication radius of nodes and then uses the Jenks Natural Breaks algorithm for filtering out the nodes producing inconsistent distance estimations. The reported method is incorporated into existing localization algorithms and tested in 2D/3D, isotropic/anisotropic environments. The results show an improvement of 14%, 52%, and 51% in localization accuracy when tested with DV-Hop, Weighted DV-Hop, and HHO-AM algorithms, respectively.

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Section: Results and Analysismentioning

confidence: 99%

A Method for Fault Tolerant Localization of Heterogeneous Wireless Sensor Networks

Bhat

Santhosh

2021

IEEE Access

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“…DV-Hop is a classic hop-based localization algorithm that has attracted more attention from researchers due to its simplicity, stability, feasibility and less hardware requirement [25]. DV-Hop is a range-free localization algorithm that estimates locations of unknown nodes by making use of few location-aware reference nodes [32,43,44]. In the first step of this algorithm, all reference nodes broadcast their location information to their neighbor nodes with the hop count set to one.…”

Section: Hop-based Localization Methodsmentioning

confidence: 99%

Localization of isotropic and anisotropic wireless sensor networks in 2D and 3D fields

Bhat

Santhosh

2021

Telecommun Syst

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Internet of Things (IoT) has changed the way people live by transforming everything into smart systems. Wireless Sensor Network (WSN) forms an important part of IoT. This is a network of sensor nodes that is used in a vast range of applications. WSN is formed by the random deployment of sensor nodes in various fields of interest. The practical fields of deployment can be 2D or 3D, isotropic or anisotropic depending on the application. The localization algorithms must provide accurate localization irrespective of the type of field. In this paper, we have reported a localization algorithm called Range Reduction Based Localization (RRBL). This algorithm utilizes the properties of hop-based and centroid methods to improve the localization accuracy in various types of fields. In this algorithm, the location unknown nodes identify the close-by neighboring nodes within a predefined threshold and localize themselves by identifying and reducing the probable range of existence from these neighboring nodes. The nodes which do not have enough neighbors are localized using the least squares method. The algorithm is tested in various irregular and heterogeneous conditions. The results are compared with a few state-of-the-art hop-based and centroid-based localization techniques. RRBL has shown an improvement in localization accuracy of 28% at 10% reference node ratio and 26% at 20% reference node ratio when compared with other localization algorithms.

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Boundary-Improved Distance Vector-Hop Localization Method with Multipower Correction for Wireless Sensor Networks

Cited by 2 publications

References 11 publications

A Method for Fault Tolerant Localization of Heterogeneous Wireless Sensor Networks

A Method for Fault Tolerant Localization of Heterogeneous Wireless Sensor Networks

Localization of isotropic and anisotropic wireless sensor networks in 2D and 3D fields

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