Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/105585
DC Field | Value | Language |
---|---|---|
dc.contributor | Department of Computing | - |
dc.creator | Wu, H | - |
dc.creator | Ding, Z | - |
dc.creator | Cao, J | - |
dc.date.accessioned | 2024-04-15T07:35:13Z | - |
dc.date.available | 2024-04-15T07:35:13Z | - |
dc.identifier.issn | 2576-3180 | - |
dc.identifier.uri | http://hdl.handle.net/10397/105585 | - |
dc.language.iso | en | en_US |
dc.publisher | Institute of Electrical and Electronics Engineers | en_US |
dc.rights | ©2019 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. | en_US |
dc.rights | The following publication H. Wu, Z. Ding and J. Cao, "GROLO: Realistic Range-Based Localization for Mobile IoTs Through Global Rigidity," in IEEE Internet of Things Journal, vol. 6, no. 3, pp. 5048-5057, June 2019 is available at https://doi.org/10.1109/JIOT.2019.2895127. | en_US |
dc.subject | Internet of Things (IoT) | en_US |
dc.subject | Mobile nodes | en_US |
dc.subject | Motion control | en_US |
dc.subject | Position measurement | en_US |
dc.subject | Wireless sensor networks | en_US |
dc.title | GROLO : Realistic range-based localization for mobile IoTs through global rigidity | en_US |
dc.type | Journal/Magazine Article | en_US |
dc.identifier.spage | 5048 | - |
dc.identifier.epage | 5057 | - |
dc.identifier.volume | 6 | - |
dc.identifier.issue | 3 | - |
dc.identifier.doi | 10.1109/JIOT.2019.2895127 | - |
dcterms.abstract | We study the realistic problem of range-based localization for mobile Internet of Things (IoT) without using GPS. This problem arises from the real-world applications and is characterized by the following three challenges: 1) inaccurate devices, such as the low cost motion sensors and moving parts in the mobile IoT nodes, make it infeasible to localize the nodes using their speed and direction; 2) when a team of IoT nodes keep moving, some nodes may get lost and be disconnected from the network due to the large accumulated errors in the distances; and 3) although the theory of global rigidity ensures the position uniqueness of nodes, there are still nonlocalizable nodes in a globally rigid graph. To address these challenges, we propose a distributed localization protocol, called GROLO. GROLO is able to perform efficient distributed localization through an adaptive global rigidity formation maintenance mechanism especially designed for the resource limited IoT nodes. GROLO is able to localize all of the nodes periodically in a mobile IoT by short distance adjustment. Furthermore, GROLO requires only necessary additional neighbor distance measurements. We evaluated GROLO and other localization protocols using both simulated nodes and ten real mobile nodes in an IoT. The results show that GROLO is promising for the localization and formation control with inaccurate mobile IoT in realistic environments. | - |
dcterms.accessRights | open access | en_US |
dcterms.bibliographicCitation | IEEE internet of things journal, June 2019, v. 6, no. 3, p. 5048-5057 | - |
dcterms.isPartOf | IEEE internet of things journal | - |
dcterms.issued | 2019-06 | - |
dc.identifier.scopus | 2-s2.0-85067895501 | - |
dc.identifier.eissn | 2327-4662 | - |
dc.description.validate | 202402 bcch | - |
dc.description.oa | Accepted Manuscript | en_US |
dc.identifier.FolderNumber | COMP-0595 | en_US |
dc.description.fundingSource | Others | en_US |
dc.description.fundingText | National Natural Science Foundation of China; National Key R&D Program of China; Shenzhen Basic Research Funding Scheme | en_US |
dc.description.pubStatus | Published | en_US |
dc.identifier.OPUS | 14211282 | en_US |
dc.description.oaCategory | Green (AAM) | en_US |
Appears in Collections: | Journal/Magazine Article |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Cao_Grolo.PDF | Pre-Published version | 1.23 MB | Adobe PDF | View/Open |
Page views
11
Citations as of Jul 7, 2024
Downloads
4
Citations as of Jul 7, 2024
SCOPUSTM
Citations
8
Citations as of Jul 4, 2024
WEB OF SCIENCETM
Citations
4
Citations as of Jul 4, 2024
Google ScholarTM
Check
Altmetric
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.