MOSDEN: A Scalable Mobile Collaborative Platform for Opportunistic Sensing Applications
Mobile smartphones along with embedded sensors have become an efficient enabler for various mobile applications including opportunistic sensing. The hi-tech advances in smartphones are opening up a world of possibilities. This paper proposes a mobile collaborative platform called MOSDEN that enables...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
European Alliance for Innovation (EAI)
2014-05-01
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| Series: | EAI Endorsed Transactions on Collaborative Computing |
| Subjects: | |
| Online Access: | http://eudl.eu/doi/10.4108/cc.1.1.e6 |
| _version_ | 1811287983982116864 |
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| author | Prem Prakash Jayaraman Charith Perera Dimitrios Georgakopoulos Arkady Zaslavsky |
| author_facet | Prem Prakash Jayaraman Charith Perera Dimitrios Georgakopoulos Arkady Zaslavsky |
| author_sort | Prem Prakash Jayaraman |
| collection | DOAJ |
| description | Mobile smartphones along with embedded sensors have become an efficient enabler for various mobile applications including opportunistic sensing. The hi-tech advances in smartphones are opening up a world of possibilities. This paper proposes a mobile collaborative platform called MOSDEN that enables and supports opportunistic sensing at run time. MOSDEN captures and shares sensor data acrossmultiple apps, smartphones and users. MOSDEN supports the emerging trend of separating sensors from application-specific processing, storing and sharing. MOSDEN promotes reuse and re-purposing of sensor data hence reducing the efforts in developing novel opportunistic sensing applications. MOSDEN has been implemented on Android-based smartphones and tablets. Experimental evaluations validate the scalability and energy efficiency of MOSDEN and its suitability towards real world applications. The results of evaluation and lessons learned are presented and discussed in this paper. |
| first_indexed | 2024-04-13T03:29:04Z |
| format | Article |
| id | doaj.art-0d03e03b6f2f4cd3812f478308c3fce8 |
| institution | Directory Open Access Journal |
| issn | 2312-8623 |
| language | English |
| last_indexed | 2024-04-13T03:29:04Z |
| publishDate | 2014-05-01 |
| publisher | European Alliance for Innovation (EAI) |
| record_format | Article |
| series | EAI Endorsed Transactions on Collaborative Computing |
| spelling | doaj.art-0d03e03b6f2f4cd3812f478308c3fce82022-12-22T03:04:33ZengEuropean Alliance for Innovation (EAI)EAI Endorsed Transactions on Collaborative Computing2312-86232014-05-011111610.4108/cc.1.1.e6MOSDEN: A Scalable Mobile Collaborative Platform for Opportunistic Sensing ApplicationsPrem Prakash Jayaraman0Charith Perera1Dimitrios Georgakopoulos2Arkady Zaslavsky3CSIRO Computational Informatics, Canberra, Australia 2601; prem.jayaraman@csiro.auCSIRO Computational Informatics, Canberra, Australia 2601School of Computer Science and Information Technology, RMIT University, GPO Box 2476, Melbourne VIC 3001CSIRO Computational Informatics, Canberra, Australia 2601Mobile smartphones along with embedded sensors have become an efficient enabler for various mobile applications including opportunistic sensing. The hi-tech advances in smartphones are opening up a world of possibilities. This paper proposes a mobile collaborative platform called MOSDEN that enables and supports opportunistic sensing at run time. MOSDEN captures and shares sensor data acrossmultiple apps, smartphones and users. MOSDEN supports the emerging trend of separating sensors from application-specific processing, storing and sharing. MOSDEN promotes reuse and re-purposing of sensor data hence reducing the efforts in developing novel opportunistic sensing applications. MOSDEN has been implemented on Android-based smartphones and tablets. Experimental evaluations validate the scalability and energy efficiency of MOSDEN and its suitability towards real world applications. The results of evaluation and lessons learned are presented and discussed in this paper.http://eudl.eu/doi/10.4108/cc.1.1.e6opportunistic sensingcrowdsensingmobile middlewaremobile data analytics |
| spellingShingle | Prem Prakash Jayaraman Charith Perera Dimitrios Georgakopoulos Arkady Zaslavsky MOSDEN: A Scalable Mobile Collaborative Platform for Opportunistic Sensing Applications EAI Endorsed Transactions on Collaborative Computing opportunistic sensing crowdsensing mobile middleware mobile data analytics |
| title | MOSDEN: A Scalable Mobile Collaborative Platform for Opportunistic Sensing Applications |
| title_full | MOSDEN: A Scalable Mobile Collaborative Platform for Opportunistic Sensing Applications |
| title_fullStr | MOSDEN: A Scalable Mobile Collaborative Platform for Opportunistic Sensing Applications |
| title_full_unstemmed | MOSDEN: A Scalable Mobile Collaborative Platform for Opportunistic Sensing Applications |
| title_short | MOSDEN: A Scalable Mobile Collaborative Platform for Opportunistic Sensing Applications |
| title_sort | mosden a scalable mobile collaborative platform for opportunistic sensing applications |
| topic | opportunistic sensing crowdsensing mobile middleware mobile data analytics |
| url | http://eudl.eu/doi/10.4108/cc.1.1.e6 |
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