A Node Localization Algorithm for Wireless Sensor Networks Based on Virtual Partition and Distance Correction

Meng, Yunlong; Zhi, Qianying; Dong, Minghao; Zhang, Weiwei

doi:10.3390/info12080330

Cited by 8 publications

(5 citation statements)

References 16 publications

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“…However, it was found that the localization error value decreased when we used the secure algorithm because of the authenticating mechanism used in the algorithm. Furthermore, the error value in the case of the basic DV-Hop was high in all cases compared to other algorithms, due to the usage of a distance error correction factor in the other algorithms [39]. Table 9 shows the average localization error variation corresponding to the total node number with and without malicious nodes for the proposed algorithm and other variants.…”

Section: Impact Of Malicious Nodes Corresponding To the Total Node Numbermentioning

confidence: 99%

“…They pointed out that some disturbances in measurements are observed on account of the RSS deviation due to the signal usage. Similarly, some recent work to take care of the issues pertaining to the node count and hop count has been addressed by the authors [39], where they provided an approach based on a virtual partitioning, along with its integration with the distance error concept to reduce the overall error. This scheme also proved beneficial apart from the other similar approaches.…”

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confidence: 99%

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SDSWSN—A Secure Approach for a Hop-Based Localization Algorithm Using a Digital Signature in the Wireless Sensor Network

Prashar

Rashid²,

Siddiqui

et al. 2021

Electronics

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Localization and security are among the most dominant tasks of wireless sensor networks (WSN). For applications containing sensitive information on the location parameters of the event, secure localization is mandatory and must not be compromised at any cost. The main task, as if any node is malicious, is to authenticate nodes that are involved in the localization process. In this paper, we propose a secure hop-based algorithm that provides a better localization accuracy. In addition, to maintain the security of the localization process, the digital signature approach is used. Moreover, the impact of malicious nodes on the proposed scheme has also been observed. The proposed approach is also contrasted with the basic DV-Hop and improved DV-Hop based on error correction. From the simulation outcomes, we infer that this secure digital-signature-based localization strategy is quite robust against any node compromise attacks, thereby boosting its precision. Comparisons between the proposed algorithm and the state of the art were made on the grounds of different parameters such as the node quantity, ratio of anchor nodes, and range value towards the localization error.

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Section: Impact Of Malicious Nodes Corresponding To the Total Node Numbermentioning

confidence: 99%

mentioning

confidence: 99%

SDSWSN—A Secure Approach for a Hop-Based Localization Algorithm Using a Digital Signature in the Wireless Sensor Network

Prashar

Rashid²,

Siddiqui

et al. 2021

Electronics

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show abstract

“…In [19], an NL method for WSNs that depends on virtual partition and distance correction (VPDC) was developed. Primarily, the distance of every hop on a shorter transmission path between the UN and beacon node is considered through the VP approach; next, the shorter communication path length was acquired by including every hop distance; at last, the distance among nodes was accomplished using the optimum path search method and the DC procedure.…”

Section: Related Workmentioning

confidence: 99%

Chaotic Mapping Lion Optimization Algorithm-Based Node Localization Approach for Wireless Sensor Networks

Motwakel,

Hashim,

Alamro

et al. 2023

Sensors

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Wireless Sensor Networks (WSNs) contain several small, autonomous sensor nodes (SNs) able to process, transfer, and wirelessly sense data. These networks find applications in various domains like environmental monitoring, industrial automation, healthcare, and surveillance. Node Localization (NL) is a major problem in WSNs, aiming to define the geographical positions of sensors correctly. Accurate localization is essential for distinct WSN applications comprising target tracking, environmental monitoring, and data routing. Therefore, this paper develops a Chaotic Mapping Lion Optimization Algorithm-based Node Localization Approach (CMLOA-NLA) for WSNs. The purpose of the CMLOA-NLA algorithm is to define the localization of unknown nodes based on the anchor nodes (ANs) as a reference point. In addition, the CMLOA is mainly derived from the combination of the tent chaotic mapping concept into the standard LOA, which tends to improve the convergence speed and precision of NL. With extensive simulations and comparison results with recent localization approaches, the effectual performance of the CMLOA-NLA technique is illustrated. The experimental outcomes demonstrate considerable improvement in terms of accuracy as well as efficiency. Furthermore, the CMLOA-NLA technique was demonstrated to be highly robust against localization error and transmission range with a minimum average localization error of 2.09%.

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“…The geographical distance to neighbors is then estimated through collaborative exchange and, finally, the bounding box is used to refine localization result. The node localization algorithm presented in [48] is based on virtual partition and distance correction. Each hop distance on the shortest path between the sensor node and the anchor node is estimated.…”

Section: Han Et Al Have Proposed In [43] a Mobile Anchor-based Locali...mentioning

confidence: 99%

Mobile Anchor and Kalman Filter Boosted Bounding Box for Localization in Wireless Sensor Networks

et al. 2022

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Event detection is usually the primary purpose of wireless sensor networks (WSNs). Therefore, it is crucial to determine where and when an event occurs in order to map the event to its spatio-temporal domain. In WSN localization, a few anchor nodes are those aware of their locations via the Global Positioning System (GPS), which is energy-consuming. Non-anchor nodes self-localize by gathering information from anchor nodes to estimate their positions using a localization technique. Traditional algorithms use at least three static anchors for the localization process. Recently, researchers opted to replace multiple static anchors by a single mobile anchor during the localization process. This paper proposes a Kalman filter based on bounding box localization algorithm (KF-BBLA) in WSNs with mobile anchor node. We present a new mobile anchor localization strategy to minimize energy, hardware costs, and computation complexity, while improving accuracy and cost-effectiveness. Network connectivity measurement and the bounding box localization method are used in order to identify the bounded possible localization zone. The Kalman filter is then used to minimize the uncertainty produced by the connectivity process. We aim also to minimize the localization inaccuracies generated by the bounding box algorithm. Simulation results show that our proposed approach significantly reduces the localization error compared to other localization algorithms chosen from the recent literature by up to 20%. We use the cumulative distribution function (CDF) as an indicator to assess the accuracy of our proposed algorithm.

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A Node Localization Algorithm for Wireless Sensor Networks Based on Virtual Partition and Distance Correction

Cited by 8 publications

References 16 publications

SDSWSN—A Secure Approach for a Hop-Based Localization Algorithm Using a Digital Signature in the Wireless Sensor Network

SDSWSN—A Secure Approach for a Hop-Based Localization Algorithm Using a Digital Signature in the Wireless Sensor Network

Chaotic Mapping Lion Optimization Algorithm-Based Node Localization Approach for Wireless Sensor Networks

Mobile Anchor and Kalman Filter Boosted Bounding Box for Localization in Wireless Sensor Networks

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