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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Liu, C.H. Fan, J. Branch, J.W. Leung, K.K. |
| Copyright Year | 2013 |
| Abstract | Considering physical sensors with certain sensing capabilities in an Internet-of-Things (IoTs) sensory environment, in this paper, we propose an efficient energy management framework to control the duty cycles of these sensors under quality-of-information (QoI) expectations in a multitask-oriented environment. Contrary to past research efforts, our proposal is transparent and compatible both with the underlying low-layer protocols and diverse applications, and preserving energy-efficiency in the long run without sacrificing the QoI levels attained. In particular, we first introduce the novel concept of QoI-aware sensor-to-task relevancy to explicitly consider the sensing capabilities offered by a sensor to the IoT sensory environments, and QoI requirements required by a task. Second, we propose a novel concept of the critical covering set of any given task in selecting the sensors to service a task over time. Third, energy management decision is made dynamically at runtime, to reach the optimum for long-term application arrivals and departures under the constraint of their service delay. We show a case study to utilize sensors to perform environmental monitoring with a complete set of performance analysis. We further consider the signal propagation and processing latency into the proposal, and provide a thorough analysis on its impact on average measured delay probability. |
| Sponsorship | IEEE Computer Society |
| Starting Page | 473 |
| Ending Page | 487 |
| Page Count | 15 |
| File Size | 13017342 |
| File Format | |
| ISSN | 21686750 |
| Volume Number | 2 |
| Issue Number | 4 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2014-01-01 |
| Publisher Place | U.S.A. |
| Access Restriction | One Nation One Subscription (ONOS) |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Sensors Energy management Logic gates Sensor fusion Wireless sensor networks Energy consumption Internet of Things Quality-of-Information Internet-of-Things Energy Management quality-of-information energy management |
| Content Type | Text |
| Resource Type | Article |
| Subject | Information Systems Human-Computer Interaction Computer Science Applications |
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