An Intelligent Data Uploading Selection Mechanism for Offloading Uplink Traffic of Cellular Networks
Wi-Fi uploading is considered an effective method for offloading the traffic of cellular networks generated by the data uploading process of mobile crowd sensing applications. However, previously proposed Wi-Fi uploading schemes mainly focus on optimizing one performance objective: the offloaded cel...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2020-11-01
|
| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/20/21/6287 |
| _version_ | 1797548790987620352 |
|---|---|
| author | Qian Wang Juan Fang Bei Gong Xiaojiang Du Mohsen Guizani |
| author_facet | Qian Wang Juan Fang Bei Gong Xiaojiang Du Mohsen Guizani |
| author_sort | Qian Wang |
| collection | DOAJ |
| description | Wi-Fi uploading is considered an effective method for offloading the traffic of cellular networks generated by the data uploading process of mobile crowd sensing applications. However, previously proposed Wi-Fi uploading schemes mainly focus on optimizing one performance objective: the offloaded cellular traffic or the reduced uploading cost. In this paper, we propose an Intelligent Data Uploading Selection Mechanism (IDUSM) to realize a trade-off between the offloaded traffic of cellular networks and participants’ uploading cost considering the differences among participants’ data plans and direct and indirect opportunistic transmissions. The mechanism first helps the source participant choose an appropriate data uploading manner based on the proposed probability prediction model, and then optimizes its performance objective for the chosen data uploading manner. In IDUSM, our proposed probability prediction model precisely predicts a participant’s mobility from spatial and temporal aspects, and we decrease data redundancy produced in the Wi-Fi offloading process to reduce waste of participants’ limited resources (e.g., storage, battery). Simulation results show that the offloading efficiency of our proposed IDUSM is <inline-formula><math display="inline"><semantics><mrow><mo>(</mo><mn>56.54</mn><mo>×</mo><msup><mn>10</mn><mrow><mo>−</mo><mn>7</mn></mrow></msup><mo>)</mo></mrow></semantics></math></inline-formula>, and the value is the highest among the other three Wi-Fi offloading mechanisms. Meanwhile, the offloading ratio and uploading cost of IDUSM are respectively 52.1% and <inline-formula><math display="inline"><semantics><mrow><mo>(</mo><mn>6.79</mn><mo>×</mo><msup><mn>10</mn><mn>3</mn></msup><mo>)</mo></mrow></semantics></math></inline-formula>. Compared with other three Wi-Fi offloading mechanisms, it realized a trade-off between the offloading ratio and the uploading cost. |
| first_indexed | 2024-03-10T15:04:47Z |
| format | Article |
| id | doaj.art-1b9f971b5e014eceb8293a427ce5cd5b |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-10T15:04:47Z |
| publishDate | 2020-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-1b9f971b5e014eceb8293a427ce5cd5b2023-11-20T19:48:36ZengMDPI AGSensors1424-82202020-11-012021628710.3390/s20216287An Intelligent Data Uploading Selection Mechanism for Offloading Uplink Traffic of Cellular NetworksQian Wang0Juan Fang1Bei Gong2Xiaojiang Du3Mohsen Guizani4College of Computer Science, Beijing University of Technology, Beijing 100124, ChinaCollege of Computer Science, Beijing University of Technology, Beijing 100124, ChinaCollege of Computer Science, Beijing University of Technology, Beijing 100124, ChinaDepartment of Computer and Information Science, Temple University, Philadelphia, PA 19122, USADepartment of Computer Science and Engineering, Qatar University, Doha 2713, QatarWi-Fi uploading is considered an effective method for offloading the traffic of cellular networks generated by the data uploading process of mobile crowd sensing applications. However, previously proposed Wi-Fi uploading schemes mainly focus on optimizing one performance objective: the offloaded cellular traffic or the reduced uploading cost. In this paper, we propose an Intelligent Data Uploading Selection Mechanism (IDUSM) to realize a trade-off between the offloaded traffic of cellular networks and participants’ uploading cost considering the differences among participants’ data plans and direct and indirect opportunistic transmissions. The mechanism first helps the source participant choose an appropriate data uploading manner based on the proposed probability prediction model, and then optimizes its performance objective for the chosen data uploading manner. In IDUSM, our proposed probability prediction model precisely predicts a participant’s mobility from spatial and temporal aspects, and we decrease data redundancy produced in the Wi-Fi offloading process to reduce waste of participants’ limited resources (e.g., storage, battery). Simulation results show that the offloading efficiency of our proposed IDUSM is <inline-formula><math display="inline"><semantics><mrow><mo>(</mo><mn>56.54</mn><mo>×</mo><msup><mn>10</mn><mrow><mo>−</mo><mn>7</mn></mrow></msup><mo>)</mo></mrow></semantics></math></inline-formula>, and the value is the highest among the other three Wi-Fi offloading mechanisms. Meanwhile, the offloading ratio and uploading cost of IDUSM are respectively 52.1% and <inline-formula><math display="inline"><semantics><mrow><mo>(</mo><mn>6.79</mn><mo>×</mo><msup><mn>10</mn><mn>3</mn></msup><mo>)</mo></mrow></semantics></math></inline-formula>. Compared with other three Wi-Fi offloading mechanisms, it realized a trade-off between the offloading ratio and the uploading cost.https://www.mdpi.com/1424-8220/20/21/6287uplink traffic offloadingopportunistic communicationsmobility predictionmobile crowd sensing applications |
| spellingShingle | Qian Wang Juan Fang Bei Gong Xiaojiang Du Mohsen Guizani An Intelligent Data Uploading Selection Mechanism for Offloading Uplink Traffic of Cellular Networks Sensors uplink traffic offloading opportunistic communications mobility prediction mobile crowd sensing applications |
| title | An Intelligent Data Uploading Selection Mechanism for Offloading Uplink Traffic of Cellular Networks |
| title_full | An Intelligent Data Uploading Selection Mechanism for Offloading Uplink Traffic of Cellular Networks |
| title_fullStr | An Intelligent Data Uploading Selection Mechanism for Offloading Uplink Traffic of Cellular Networks |
| title_full_unstemmed | An Intelligent Data Uploading Selection Mechanism for Offloading Uplink Traffic of Cellular Networks |
| title_short | An Intelligent Data Uploading Selection Mechanism for Offloading Uplink Traffic of Cellular Networks |
| title_sort | intelligent data uploading selection mechanism for offloading uplink traffic of cellular networks |
| topic | uplink traffic offloading opportunistic communications mobility prediction mobile crowd sensing applications |
| url | https://www.mdpi.com/1424-8220/20/21/6287 |
| work_keys_str_mv | AT qianwang anintelligentdatauploadingselectionmechanismforoffloadinguplinktrafficofcellularnetworks AT juanfang anintelligentdatauploadingselectionmechanismforoffloadinguplinktrafficofcellularnetworks AT beigong anintelligentdatauploadingselectionmechanismforoffloadinguplinktrafficofcellularnetworks AT xiaojiangdu anintelligentdatauploadingselectionmechanismforoffloadinguplinktrafficofcellularnetworks AT mohsenguizani anintelligentdatauploadingselectionmechanismforoffloadinguplinktrafficofcellularnetworks AT qianwang intelligentdatauploadingselectionmechanismforoffloadinguplinktrafficofcellularnetworks AT juanfang intelligentdatauploadingselectionmechanismforoffloadinguplinktrafficofcellularnetworks AT beigong intelligentdatauploadingselectionmechanismforoffloadinguplinktrafficofcellularnetworks AT xiaojiangdu intelligentdatauploadingselectionmechanismforoffloadinguplinktrafficofcellularnetworks AT mohsenguizani intelligentdatauploadingselectionmechanismforoffloadinguplinktrafficofcellularnetworks |