A Cooperative Multi-Agent System for Crowd Sensing Based Estimation in Smart Cities
The concept of Smart City has spread as a solution to ensure better access to information and services to citizens, but also as a means to reduce the environmental footprint of cities. To this end, a continuous and wide observation of the environment is necessary to analyze information that enables...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2020-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9214399/ |
| _version_ | 1818853453374423040 |
|---|---|
| author | Davide Andrea Guastella Valerie Camps Marie-Pierre Gleizes |
| author_facet | Davide Andrea Guastella Valerie Camps Marie-Pierre Gleizes |
| author_sort | Davide Andrea Guastella |
| collection | DOAJ |
| description | The concept of Smart City has spread as a solution to ensure better access to information and services to citizens, but also as a means to reduce the environmental footprint of cities. To this end, a continuous and wide observation of the environment is necessary to analyze information that enables government bodies to act on the environment appropriately. Moreover, a diffused acquisition of information requires adequate infrastructure and proper devices, which results in relevant installation and maintenance costs. Our proposal enables reducing the number of necessary sensors to be deployed while ensuring that information is available at any time and anywhere. We present the HybridIoT system to cope with the lack of environmental information in the urban context through an estimation technique that integrates heterogeneous data acquired from some different sensors. HybridIoT can be deployed in large-scale contexts and ensures data accessibility even if devices enter or leave the system at any time and everywhere. We compare the results to those obtained by state-of-the-art techniques to assess the validity of our proposal, in particular concerning the properties of openness, large-scale, and heterogeneity, of primary importance in the context of the development of systems to be deployed in the smart city context. |
| first_indexed | 2024-12-19T07:37:03Z |
| format | Article |
| id | doaj.art-259408bb9b474f0781dc896e333baf75 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-19T07:37:03Z |
| publishDate | 2020-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-259408bb9b474f0781dc896e333baf752022-12-21T20:30:34ZengIEEEIEEE Access2169-35362020-01-01818305118307010.1109/ACCESS.2020.30289679214399A Cooperative Multi-Agent System for Crowd Sensing Based Estimation in Smart CitiesDavide Andrea Guastella0https://orcid.org/0000-0002-6865-1833Valerie Camps1https://orcid.org/0000-0002-4768-2710Marie-Pierre Gleizes2Institut de Recherche en Informatique de Toulouse, Université Toulouse III - Paul Sabatier, Toulouse, FranceInstitut de Recherche en Informatique de Toulouse, Université Toulouse III - Paul Sabatier, Toulouse, FranceInstitut de Recherche en Informatique de Toulouse, Université Toulouse III - Paul Sabatier, Toulouse, FranceThe concept of Smart City has spread as a solution to ensure better access to information and services to citizens, but also as a means to reduce the environmental footprint of cities. To this end, a continuous and wide observation of the environment is necessary to analyze information that enables government bodies to act on the environment appropriately. Moreover, a diffused acquisition of information requires adequate infrastructure and proper devices, which results in relevant installation and maintenance costs. Our proposal enables reducing the number of necessary sensors to be deployed while ensuring that information is available at any time and anywhere. We present the HybridIoT system to cope with the lack of environmental information in the urban context through an estimation technique that integrates heterogeneous data acquired from some different sensors. HybridIoT can be deployed in large-scale contexts and ensures data accessibility even if devices enter or leave the system at any time and everywhere. We compare the results to those obtained by state-of-the-art techniques to assess the validity of our proposal, in particular concerning the properties of openness, large-scale, and heterogeneity, of primary importance in the context of the development of systems to be deployed in the smart city context.https://ieeexplore.ieee.org/document/9214399/Smart citycooperative multi-agent systemsmissing information estimationheterogeneous data integration |
| spellingShingle | Davide Andrea Guastella Valerie Camps Marie-Pierre Gleizes A Cooperative Multi-Agent System for Crowd Sensing Based Estimation in Smart Cities IEEE Access Smart city cooperative multi-agent systems missing information estimation heterogeneous data integration |
| title | A Cooperative Multi-Agent System for Crowd Sensing Based Estimation in Smart Cities |
| title_full | A Cooperative Multi-Agent System for Crowd Sensing Based Estimation in Smart Cities |
| title_fullStr | A Cooperative Multi-Agent System for Crowd Sensing Based Estimation in Smart Cities |
| title_full_unstemmed | A Cooperative Multi-Agent System for Crowd Sensing Based Estimation in Smart Cities |
| title_short | A Cooperative Multi-Agent System for Crowd Sensing Based Estimation in Smart Cities |
| title_sort | cooperative multi agent system for crowd sensing based estimation in smart cities |
| topic | Smart city cooperative multi-agent systems missing information estimation heterogeneous data integration |
| url | https://ieeexplore.ieee.org/document/9214399/ |
| work_keys_str_mv | AT davideandreaguastella acooperativemultiagentsystemforcrowdsensingbasedestimationinsmartcities AT valeriecamps acooperativemultiagentsystemforcrowdsensingbasedestimationinsmartcities AT mariepierregleizes acooperativemultiagentsystemforcrowdsensingbasedestimationinsmartcities AT davideandreaguastella cooperativemultiagentsystemforcrowdsensingbasedestimationinsmartcities AT valeriecamps cooperativemultiagentsystemforcrowdsensingbasedestimationinsmartcities AT mariepierregleizes cooperativemultiagentsystemforcrowdsensingbasedestimationinsmartcities |