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Article: Backscatter Data Collection With Unmanned Ground Vehicle: Mobility Management and Power Allocation
Title | Backscatter Data Collection With Unmanned Ground Vehicle: Mobility Management and Power Allocation |
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Authors | |
Keywords | Backscatter Data collection Internet of Things Wireless communication Quality of service Radio frequency Resource management |
Issue Date | 2019 |
Publisher | Institute of Electrical and Electronics Engineers. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=7693 |
Citation | IEEE Transactions on Wireless Communications, 2019, v. 18 n. 4, p. 2314-2328 How to Cite? |
Abstract | Collecting data from the massive Internet of Things (IoT) devices is a challenging task since communication circuits are power-demanding while energy supply at IoT devices is limited. To overcome this challenge, backscatter communication emerges as a promising solution as it eliminates radio frequency components in the IoT devices. Unfortunately, the transmission range of backscatter communication is short. To facilitate backscatter communication, this paper proposes to integrate unmanned ground vehicle (UGV) with backscatter data collection. With such a scheme, the UGV could improve the communication quality by approaching various IoT devices. However, moving also costs energy consumption and a fundamental question is: what is the right balance between spending energy on moving versus on communication? To answer this question, this paper studies energy minimization under a joint graph mobility and backscatter communication model. With the joint model, the mobility management and power allocation problem, unfortunately, involves nonlinear coupling between discrete variables brought by mobility and continuous variables brought by communication. Despite the optimization challenges, an algorithm that theoretically achieves the minimum energy consumption is derived, and it leads to automatic trade-off between spending energy on moving versus on communication in the UGV backscatter system. The simulation results show that if the noise power is small (e.g., ≤-100 dBm), the UGV should collect the data with small movements. However, if the noise power is increased to a larger value (e.g., -60 dBm), the UGV should spend more motion energy to get closer to the IoT users. |
Persistent Identifier | http://hdl.handle.net/10722/273881 |
ISSN | 2023 Impact Factor: 8.9 2023 SCImago Journal Rankings: 5.371 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Wang, S | - |
dc.contributor.author | Xia, M-H | - |
dc.contributor.author | Wu, Y-C | - |
dc.date.accessioned | 2019-08-18T14:50:32Z | - |
dc.date.available | 2019-08-18T14:50:32Z | - |
dc.date.issued | 2019 | - |
dc.identifier.citation | IEEE Transactions on Wireless Communications, 2019, v. 18 n. 4, p. 2314-2328 | - |
dc.identifier.issn | 1536-1276 | - |
dc.identifier.uri | http://hdl.handle.net/10722/273881 | - |
dc.description.abstract | Collecting data from the massive Internet of Things (IoT) devices is a challenging task since communication circuits are power-demanding while energy supply at IoT devices is limited. To overcome this challenge, backscatter communication emerges as a promising solution as it eliminates radio frequency components in the IoT devices. Unfortunately, the transmission range of backscatter communication is short. To facilitate backscatter communication, this paper proposes to integrate unmanned ground vehicle (UGV) with backscatter data collection. With such a scheme, the UGV could improve the communication quality by approaching various IoT devices. However, moving also costs energy consumption and a fundamental question is: what is the right balance between spending energy on moving versus on communication? To answer this question, this paper studies energy minimization under a joint graph mobility and backscatter communication model. With the joint model, the mobility management and power allocation problem, unfortunately, involves nonlinear coupling between discrete variables brought by mobility and continuous variables brought by communication. Despite the optimization challenges, an algorithm that theoretically achieves the minimum energy consumption is derived, and it leads to automatic trade-off between spending energy on moving versus on communication in the UGV backscatter system. The simulation results show that if the noise power is small (e.g., ≤-100 dBm), the UGV should collect the data with small movements. However, if the noise power is increased to a larger value (e.g., -60 dBm), the UGV should spend more motion energy to get closer to the IoT users. | - |
dc.language | eng | - |
dc.publisher | Institute of Electrical and Electronics Engineers. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=7693 | - |
dc.relation.ispartof | IEEE Transactions on Wireless Communications | - |
dc.rights | IEEE Transactions on Wireless Communications. Copyright © Institute of Electrical and Electronics Engineers. | - |
dc.rights | ©20xx IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. | - |
dc.subject | Backscatter | - |
dc.subject | Data collection | - |
dc.subject | Internet of Things | - |
dc.subject | Wireless communication | - |
dc.subject | Quality of service | - |
dc.subject | Radio frequency | - |
dc.subject | Resource management | - |
dc.title | Backscatter Data Collection With Unmanned Ground Vehicle: Mobility Management and Power Allocation | - |
dc.type | Article | - |
dc.identifier.email | Wu, Y-C: ycwu@eee.hku.hk | - |
dc.identifier.authority | Wu, Y-C=rp00195 | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1109/TWC.2019.2902557 | - |
dc.identifier.scopus | eid_2-s2.0-85064043679 | - |
dc.identifier.hkuros | 302297 | - |
dc.identifier.volume | 18 | - |
dc.identifier.issue | 4 | - |
dc.identifier.spage | 2314 | - |
dc.identifier.epage | 2328 | - |
dc.identifier.isi | WOS:000467572100022 | - |
dc.publisher.place | United States | - |
dc.identifier.issnl | 1536-1276 | - |