An Optimization Approach to Multi-Sensor Operation for Multi-Context Recognition
Mobile devices and sensors have limited battery lifespans, limiting their feasibility for context recognition applications. As a result, there is a need to provide mechanisms for energy-efficient operation of sensors in settings where multiple contexts are monitored simultaneously. Past methods for...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-10-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/21/20/6862 |
| _version_ | 1797513140777254912 |
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| author | Raslan Kain Hazem Hajj |
| author_facet | Raslan Kain Hazem Hajj |
| author_sort | Raslan Kain |
| collection | DOAJ |
| description | Mobile devices and sensors have limited battery lifespans, limiting their feasibility for context recognition applications. As a result, there is a need to provide mechanisms for energy-efficient operation of sensors in settings where multiple contexts are monitored simultaneously. Past methods for efficient sensing operation have been hierarchical by first selecting the sensors with the least energy consumption, and then devising individual sensing schedules that trade-off energy and delays. The main limitation of the hierarchical approach is that it does not consider the combined impact of sensor scheduling and sensor selection. We aimed at addressing this limitation by considering the problem holistically and devising an optimization formulation that can simultaneously select the group of sensors while also considering the impact of their triggering schedule. The optimization solution is framed as a Viterbi algorithm that includes mathematical representations for multi-sensor reward functions and modeling of user behavior. Experiment results showed an average improvement of 31% compared to a hierarchical approach. |
| first_indexed | 2024-03-10T06:13:27Z |
| format | Article |
| id | doaj.art-805834484c564d0c83ec2e7ed7a2a997 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-10T06:13:27Z |
| publishDate | 2021-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-805834484c564d0c83ec2e7ed7a2a9972023-11-22T19:58:38ZengMDPI AGSensors1424-82202021-10-012120686210.3390/s21206862An Optimization Approach to Multi-Sensor Operation for Multi-Context RecognitionRaslan Kain0Hazem Hajj1Department of Electrical and Computer Engineering, American University of Beirut, Beirut 1107 2020, LebanonDepartment of Electrical and Computer Engineering, American University of Beirut, Beirut 1107 2020, LebanonMobile devices and sensors have limited battery lifespans, limiting their feasibility for context recognition applications. As a result, there is a need to provide mechanisms for energy-efficient operation of sensors in settings where multiple contexts are monitored simultaneously. Past methods for efficient sensing operation have been hierarchical by first selecting the sensors with the least energy consumption, and then devising individual sensing schedules that trade-off energy and delays. The main limitation of the hierarchical approach is that it does not consider the combined impact of sensor scheduling and sensor selection. We aimed at addressing this limitation by considering the problem holistically and devising an optimization formulation that can simultaneously select the group of sensors while also considering the impact of their triggering schedule. The optimization solution is framed as a Viterbi algorithm that includes mathematical representations for multi-sensor reward functions and modeling of user behavior. Experiment results showed an average improvement of 31% compared to a hierarchical approach.https://www.mdpi.com/1424-8220/21/20/6862energy efficiencyMobile Sensingcontext-awareness |
| spellingShingle | Raslan Kain Hazem Hajj An Optimization Approach to Multi-Sensor Operation for Multi-Context Recognition Sensors energy efficiency Mobile Sensing context-awareness |
| title | An Optimization Approach to Multi-Sensor Operation for Multi-Context Recognition |
| title_full | An Optimization Approach to Multi-Sensor Operation for Multi-Context Recognition |
| title_fullStr | An Optimization Approach to Multi-Sensor Operation for Multi-Context Recognition |
| title_full_unstemmed | An Optimization Approach to Multi-Sensor Operation for Multi-Context Recognition |
| title_short | An Optimization Approach to Multi-Sensor Operation for Multi-Context Recognition |
| title_sort | optimization approach to multi sensor operation for multi context recognition |
| topic | energy efficiency Mobile Sensing context-awareness |
| url | https://www.mdpi.com/1424-8220/21/20/6862 |
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