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01675nam a2200277Ia 4500 |
| 001 |
10.1080-08956308.2018.1495965 |
| 008 |
220706s2018 CNT 000 0 und d |
| 020 |
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|a 08956308 (ISSN)
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| 245 |
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|a A Straightforward Route to Sensor Selection for IoT Systems
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| 260 |
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|b Taylor and Francis Inc.
|c 2018
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| 856 |
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|z View Fulltext in Publisher
|u https://doi.org/10.1080/08956308.2018.1495965
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| 520 |
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|a Overview: The Internet of Things (IoT) allows for remote management and monitoring of many aspects of everyday life at the individual and industrial levels. However, designing these systems within constraints of cost and operational context can be a real challenge. The sensor network must be strategically designed, which means selecting the most appropriate sensors to collect a specific measurement in a specific environment and then optimizing their deployment and utilization. To facilitate sensor selection, we propose a straightforward, color-coded, three-sieve selection tool and demonstrate the efficacy of this method through real-life exemplars. The selection tool could be applied to other kinds of technologies as well. © 2018, © 2018 Innovation Research Interchange.
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| 650 |
0 |
4 |
|a Internet of thing (IOT)
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| 650 |
0 |
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|a Internet of things
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| 650 |
0 |
4 |
|a Internet of Things
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| 650 |
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|a Remote management
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| 650 |
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4 |
|a Sensor networks
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| 650 |
0 |
4 |
|a Sensor selection
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| 700 |
1 |
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|a Botte, G.G.
|e author
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| 700 |
1 |
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|a Jones, P.M.
|e author
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| 700 |
1 |
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|a Leighton, G.J.T.
|e author
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| 700 |
1 |
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|a Lonne, Q.
|e author
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| 700 |
1 |
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|a Mutnuri, S.
|e author
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| 700 |
1 |
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|a Talaia, P.
|e author
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| 700 |
1 |
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|a Williams, L.
|e author
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| 773 |
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|t Research Technology Management
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