MOSDEN: An Internet of Things Middleware for Resource Constrained Mobile Devices
Open accessAbstract
The Internet of Things (IoT) is part of Future Internet and will comprise many billions of Internet Connected Objects (ICO) or `things' where things can sense, communicate, compute and potentially actuate as well as have intelligence, multi-modal interfaces, physical/ virtual identities and attributes. Collecting data from these objects is an important task as it allows software systems to understand the environment better. Many different hardware devices may involve in the process of collecting and uploading sensor data to the cloud where complex processing can occur. Further, we cannot expect all these objects to be connected to the computers due to technical and economical reasons. Therefore, we should be able to utilize resource constrained devices to collect data from these ICOs. On the other hand, it is critical to process the collected sensor data before sending them to the cloud to make sure the sustainability of the infrastructure due to energy constraints. This requires to move the sensor data processing tasks towards the resource constrained computational devices (e.g. mobile phones). In this paper, we propose Mobile Sensor Data Processing Engine (MOSDEN), an plug-in-based IoT middleware for mobile devices, that allows to collect and process sensor data without programming efforts. Our architecture also supports sensing as a service model. We present the results of the evaluations that demonstrate its suitability towards real world deployments. Our proposed middleware is built on Android platform.
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Hardware requirements of middleware in the IoT context can be a concern.
“However, hardware requirements of middleware in the IoT context can be a concern [28] [29] [30].”
From Edge Computing and Microservices Middleware for Home Energy Management Systems (2022) · cites this paper as [30]
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Cites
Context Aware Computing for The Internet of Things: A Survey
Perera, C., Zaslavsky, A., Christen, P., & Georgakopoulos, D. (2014) · IEEE Communications Surveys & Tutorials · doi:10.1109/surv.2013.042313.00197 · Cited by 2,861 · cited 1× · see citing works
“categories 2,3,4 in Figure 1) in IoT is validation, fusing, filtering, context discovery, and annotation [14].”
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Research works printed but not linked: 17
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Cited by
Sorted by citations
IoT technologies for embedded computing: a survey
Samie, F., Bauer, L., & Henkel, J. (2016) · Proceedings of the Eleventh IEEE/ACM/IFIP International Conference on Hardware/Software Codesign and System Synthesis · doi:10.1145/2968456.2974004 · Cited by 190 · see citing works
Rahman, H., & Hussain, M. I. (2020) · Transactions on Emerging Telecommunications Technologies · doi:10.1002/ett.3902 · Cited by 119 · see citing works
Edge Computing and Microservices Middleware for Home Energy Management Systems
Ferreira, L. C. B. C., Borchardt, A. D. R., Cardoso, G. D. S., Mendes Lemes, D. A., Sousa, G. R. D. R. D., Neto, F. B., de Lima, E. R., Fraidenraich, G., Cardieri, P., & Meloni, L. G. P. (2022) · IEEE Access · doi:10.1109/access.2022.3214229 · Cited by 28 · see citing works
“However, hardware requirements of middleware in the IoT context can be a concern [28], [29], [30].”
Background
- Authors
- Perera, C., Jayaraman, P. P., Zaslavsky, A., Georgakopoulos, D., & Christen, P.
- Affiliations
- Commonwealth Scientific and Industrial Research Organisation (AU)
- Australian National University (AU)
- ORCID
- Venue
- 2014 47th Hawaii International Conference on System Sciences
- Publisher
- IEEE
- Published
- 2014-01
- Pages
- 1053-1062
- ISSN
- 1530-1605 (ISSN-L)
- OpenAlex
- W2087567743
- Cited by
- 145
- References
- 1
- Citations by year
- 2025: 3 · 2024: 2 · 2023: 3 · 2022: 9 · 2021: 9 · 2020: 19 · 2019: 17 · 2018: 20 · 2017: 21 · 2016: 14 · 2015: 15 · 2014: 11 · 2013: 2
- FWCI
- 15.83
- Type
- conference paper
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Hawaii International Conference on System Sciences (HICSS) (publishedVersion)
- ORCA Online Research @Cardiff (Cardiff University) (acceptedVersion)
- arXiv (Cornell University) (submittedVersion)
- RMIT Research Repository (RMIT University Library) (submittedVersion)
- Figshare (submittedVersion, cc-by)
- Figshare (submittedVersion)
- ANU Open Research (Australian National University) (submittedVersion)
- Swinburne figshare (Swinburne University of Technology) (submittedVersion)
- arXiv (Cornell University)
- Funders
- European Commission (FP7 ICT, 287305, ICT-2011, FP7‐ICT‐2011, FP7-ICT-2011-7)
- FP7 Information and Communication Technologies
- Topics
- Physical Sciences › Computer Science › Computer Networks and Communications › IoT and Edge/Fog Computing
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Arduino and IoT Applications
- Physical Sciences › Computer Science › Information Systems › Mobile and Web Applications
- Keywords
- Internet of Things, IoT middleware, resource-constrained devices, mobile devices, sensor data processing, plug-in architecture, sensing as a service, Android, energy efficiency, cloud data collection
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