2015
DOI: 10.1016/j.adhoc.2014.07.025
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Improvement of range-free localization technology by a novel DV-hop protocol in wireless sensor networks

Abstract: Localization is a fundamental issue for many applications in wireless sensor networks. Without the need of additional ranging devices, the range-free localization technology is a cost-effective solution for low-cost indoor and outdoor wireless sensor networks. Among range-free algorithms, DV-hop (Distance Vector-hop) has the advantage to localize the mobile nodes which has less than three neighbour anchors. Based on the original DV-hop algorithm, this paper presents two improved algorithms (Checkout DV-hop and… Show more

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Cited by 118 publications
(87 citation statements)
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“…Maximum likelihood matrix points to the estimated event location. Authors uses distributed range -based localization algorithm [16] with added three new features and claimed that the proposed work gives better performance and highly scalable. Firstly, backbone is constructed based on the intermediate nodes between the multiple beacon nodes.…”
Section: Range Free Localizationmentioning
confidence: 99%
“…Maximum likelihood matrix points to the estimated event location. Authors uses distributed range -based localization algorithm [16] with added three new features and claimed that the proposed work gives better performance and highly scalable. Firstly, backbone is constructed based on the intermediate nodes between the multiple beacon nodes.…”
Section: Range Free Localizationmentioning
confidence: 99%
“…However, the DV-Hop technique introduces errors that propagated to the computation of a node's location. To decrease the localization error in DV-Hop algorithm, many improved method was proposed in [11,12]. But these improved methods only focused on the accuracy of localization and didn't consider the security.…”
Section: Introductionmentioning
confidence: 99%
“…Linqing Guim etal. proposed an improved DV-Hop localization algorithm, to improve the algorithm performance by defining new data format [9]. Guangjie Han etal.…”
Section: Introductionmentioning
confidence: 99%