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• W3203347338 abstract "In large-scale wireless sensor networks (WSNs), the position information of individualsensors is very important for many applications. Generally, there are a small numberof position-aware nodes, referred to as the anchors. Every other node can estimate itsdistances to the surrounding anchors, and then employ trilateration or triangulation forself-localization. Such a system is easy to implement, and thus popular for both terrestrialand underwater applications, but it suffers from some major drawbacks. First, the densityof the anchors is generally very low due to economical considerations, leading to poorlocalization accuracy. Secondly, the energy and bandwidth consumptions of such systemsare quite significant. Last but not the least, the scalability of a network based on fixedanchors is not good. Therefore, whenever the network expands, more anchors should bedeployed to guarantee the required performance. Apart from these general challenges,both terrestrial and underwater networks have their own specific ones. For example, realtimechannel parameters are generally required for localization in terrestrial WSNs. Forunderwater networks, the clock skew between the target sensor and the anchors mustbe considered. That is to say, time synchronization should be performed together withlocalization, which makes the problem complicated.An alternative approach is to employ mobile anchors to replace the fixed ones. Forterrestrial networks, commercial drones and unmanned aerial vehicles (UAVs) are verygood choices, while autonomous underwater vehicles (AUVs) can be used for underwaterapplications. Mobile anchors can move along a predefined trajectory and broadcast beaconsignals. By listening to the messages, the other nodes in the network can localize themselvespassively. This architecture has three major advantages: first, energy and bandwidth consumptions can be significantly reduced; secondly, the localization accuracy can be muchimproved with the increased number of virtual anchors, which can be boosted at negligiblecost; thirdly, the coverage can be easily extended, which makes the solution and the networkhighly scalable.Motivated by this idea, this thesis investigates the mobile node-aided localization andtracking in large-scale WSNs. For both terrestrial and underwater WSNs, the systemdesign, modeling, and performance analyses will be presented for various applications,including: (1) the drone-assisted localization in terrestrial networks; (2) the ToA-basedunderwater localization and time synchronization; (3) the Doppler-based underwater localization;(4) the underwater target detection and tracking based on the convolutionalneural network and the fractional Fourier transform. In these applications, different challengeswill present, and we will see how these challenges can be addressed by replacingthe fixed anchors with mobile ones. Detailed mathematical models will be presented, andextensive simulation and experimental results will be provided to verify the theoreticalresults. Also, we will investigate the channel estimation for the fifth generation (5G) wirelesscommunications. A pilot decontamination method will be presented for the massivemultiple-input-multiple-output communications, and the data-aided channel tracking willbe discussed for millimeter wave communications. We will see that the localization problemis highly coupled with the channel estimation in wireless communications." @default.
• W3203347338 created "2021-10-11" @default.
• W3203347338 creator A5055137889 @default.
• W3203347338 date "2021-05-01" @default.
• W3203347338 modified "2023-09-25" @default.
• W3203347338 title "Mobile node-aided localization and tracking in terrestrial and underwater networks" @default.
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