Localization Algorithms for Mobile Nodes for Three-Dimentional WSNs

Hadir, Abdelali; Zine-Dine, Khalid; Bakhouya, Mohamed; Kafi, Jamal El; Tmiri, Amal

doi:10.1109/wincom.2018.8629752

Cited by 5 publications

(2 citation statements)

References 26 publications

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“…A. Hadir et al [28] adopted weighted average method to optimize AHS and employed hyperbolic location scheme in third stage. He [29] also adopted mobile beacon nodes to further improve localization coverage, but it extremely increased hardware cost. The new concept of DCP in 3D is proposed in paper [30].…”

Section: Based On Weighted Optimization Algorithmmentioning

confidence: 99%

“…It is highlight that located node as auxiliary anchor nodes to participate in location process under next round. Table 3 [26], hyperbolic location method [28], assistant mo-bile beacon node [29]. Besides, it is adopted to correct hop count by multiple communication range [27], selected high quality beacon node [30][31], which will increase communication cost at some degree.…”

Section: Based On Weighted Optimization Algorithmmentioning

confidence: 99%

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A Survey on DV-Hop localization Techniques in Three- Dimensional Wireless Sensor Networks

et al. 2020

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Location information is prerequisite for wireless sensor networks (WSNs) monitoring and control applications, since there is no meaning without position information for collected data. Distance vector hop (DV-Hop) localization algorithm as the typical range-free algorithm that has been widely applied in various applications. Nowadays, the research on range-free localization for WSNs is mostly based on two-dimensional (2D) space. Hence, there are few surveys concentrated on range-free localization in three-dimensional (3D) WSNs. This motivated us to present an extensive overview of enhanced DV-Hop localization algorithms in 3D WSNs. This paper focused on critical challenge between 2D and 3D in localization model, representative range-free 3D localization technique surveys. Moreover, a comprehensive taxonomy of most essential enhanced methods applied in 3D DV-Hop is illustrated. A considerable comparison in term of localization error, computational complexity and node type is given. Future research directions dealing with localization under 3D DV-Hop is also discussed.

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Section: Based On Weighted Optimization Algorithmmentioning

confidence: 99%