An Aquatic Mobile Sensing USV Swarm with a Link Quality-Based Delay Tolerant Network
The Smart City concept is starting to extend into maritime environments alongside with the increase of Unmanned Surface Vehicles (USV) models on the market. Consequently, by joining both Smart City and USV technologies, a set of platforms and applications for aquatic environments are emerging. This...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2018-10-01
|
| Series: | Sensors |
| Subjects: | |
| Online Access: | http://www.mdpi.com/1424-8220/18/10/3440 |
| _version_ | 1817989704350433280 |
|---|---|
| author | Daniela Sousa Miguel Luís Susana Sargento Artur Pereira |
| author_facet | Daniela Sousa Miguel Luís Susana Sargento Artur Pereira |
| author_sort | Daniela Sousa |
| collection | DOAJ |
| description | The Smart City concept is starting to extend into maritime environments alongside with the increase of Unmanned Surface Vehicles (USV) models on the market. Consequently, by joining both Smart City and USV technologies, a set of platforms and applications for aquatic environments are emerging. This work proposes a low-cost aquatic mobile sensing platform for data gathering with a swarm of USVs communicating through a Delay-Tolerant Network (DTN). A set of DTN link quality-based routing strategies select the best quality path in a dynamic approach so the sensed information is able to reach the mobile gateway in a reliable way. A Link Quality Estimation (LQE) approach is proposed and its accuracy is evaluated through real experimentation. An aquatic simulation environment, considering both navigation and communication layers, was also proposed and used to evaluate the performance of the proposed routing strategies, and complement real environment performance studies. |
| first_indexed | 2024-04-14T00:50:03Z |
| format | Article |
| id | doaj.art-c680fd6e756b4bf99e929bd4e3ccffea |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-14T00:50:03Z |
| publishDate | 2018-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-c680fd6e756b4bf99e929bd4e3ccffea2022-12-22T02:21:50ZengMDPI AGSensors1424-82202018-10-011810344010.3390/s18103440s18103440An Aquatic Mobile Sensing USV Swarm with a Link Quality-Based Delay Tolerant NetworkDaniela Sousa0Miguel Luís1Susana Sargento2Artur Pereira3Instituto de Telecomunicações, 3810-193 Aveiro, PortugalInstituto de Telecomunicações, 3810-193 Aveiro, PortugalInstituto de Telecomunicações, 3810-193 Aveiro, PortugalDepartamento de Eletrónica, Telecomunicações e Informática, University of Aveiro, 3810-193 Aveiro, PortugalThe Smart City concept is starting to extend into maritime environments alongside with the increase of Unmanned Surface Vehicles (USV) models on the market. Consequently, by joining both Smart City and USV technologies, a set of platforms and applications for aquatic environments are emerging. This work proposes a low-cost aquatic mobile sensing platform for data gathering with a swarm of USVs communicating through a Delay-Tolerant Network (DTN). A set of DTN link quality-based routing strategies select the best quality path in a dynamic approach so the sensed information is able to reach the mobile gateway in a reliable way. A Link Quality Estimation (LQE) approach is proposed and its accuracy is evaluated through real experimentation. An aquatic simulation environment, considering both navigation and communication layers, was also proposed and used to evaluate the performance of the proposed routing strategies, and complement real environment performance studies.http://www.mdpi.com/1424-8220/18/10/3440aquatic mobile sensing platformunmanned surface vesselsdelay tolerant networkforwarding strategieslink quality estimatorsimulation and real experimentationlow-cost systems |
| spellingShingle | Daniela Sousa Miguel Luís Susana Sargento Artur Pereira An Aquatic Mobile Sensing USV Swarm with a Link Quality-Based Delay Tolerant Network Sensors aquatic mobile sensing platform unmanned surface vessels delay tolerant network forwarding strategies link quality estimator simulation and real experimentation low-cost systems |
| title | An Aquatic Mobile Sensing USV Swarm with a Link Quality-Based Delay Tolerant Network |
| title_full | An Aquatic Mobile Sensing USV Swarm with a Link Quality-Based Delay Tolerant Network |
| title_fullStr | An Aquatic Mobile Sensing USV Swarm with a Link Quality-Based Delay Tolerant Network |
| title_full_unstemmed | An Aquatic Mobile Sensing USV Swarm with a Link Quality-Based Delay Tolerant Network |
| title_short | An Aquatic Mobile Sensing USV Swarm with a Link Quality-Based Delay Tolerant Network |
| title_sort | aquatic mobile sensing usv swarm with a link quality based delay tolerant network |
| topic | aquatic mobile sensing platform unmanned surface vessels delay tolerant network forwarding strategies link quality estimator simulation and real experimentation low-cost systems |
| url | http://www.mdpi.com/1424-8220/18/10/3440 |
| work_keys_str_mv | AT danielasousa anaquaticmobilesensingusvswarmwithalinkqualitybaseddelaytolerantnetwork AT miguelluis anaquaticmobilesensingusvswarmwithalinkqualitybaseddelaytolerantnetwork AT susanasargento anaquaticmobilesensingusvswarmwithalinkqualitybaseddelaytolerantnetwork AT arturpereira anaquaticmobilesensingusvswarmwithalinkqualitybaseddelaytolerantnetwork AT danielasousa aquaticmobilesensingusvswarmwithalinkqualitybaseddelaytolerantnetwork AT miguelluis aquaticmobilesensingusvswarmwithalinkqualitybaseddelaytolerantnetwork AT susanasargento aquaticmobilesensingusvswarmwithalinkqualitybaseddelaytolerantnetwork AT arturpereira aquaticmobilesensingusvswarmwithalinkqualitybaseddelaytolerantnetwork |