Wireless-Transparent Sensing. Suzuki, M., Liao, C., Ohara, S., Jinno, K., & Morikawa, H. In Proceedings of the 2017 International Conference on Embedded Wireless Systems and Networks, of EWSN ’17, pages 66–77, USA, 2017. Junction Publishing. event-place: Uppsala, Sweden![Wireless-Transparent Sensing [link]](https://bibbase.org/img/filetypes/link.svg "link")
Paper abstract bibtex Even after decades of efforts, wireless sensor networks (WSNs) have not gained huge momentum as people expected. The discussions with researchers and engineers in other fields make us believe that the essential problem is the lossy, unstable, and opaque nature of wireless networks rather than the power consumption or throughput problems. To tackle this key problem, we propose the concept of Wireless-Transparent Sensing that is qualified by the following conditions. First, collected data should be easy-to-use, similar to data collected by wired instruments, i.e., sampling timing should be aligned, and no data losses should occur. Second, the sensor network must be simple and responsive so that it can be managed as easily as wired instruments. Third, the system should sustainably deliver decent performance under diverse circumstances so that users do not have to choose different protocols to meet traffic demands. To realize and verify the concept, we have developed WTSP (Wireless-Transparent Sensing Platform) with two characteristics of slot scheduling based on the concurrent transmission flooding. First, the sink node schedules slots on the fly; only several slots are determined within a schedule packet, and additional schedule or sleep packets are distributed once the distributed schedule is completed, making scheduling very flexible. Second, the scheduling is service-driven; scheduling is delegated to upper-layer services and each service directly makes a schedule, which allows the sink node to predict communication demands accurately. Using a large-scale testbed, we show that WTSP satisfies the above three conditions in many situations, and surprisingly outperforms or performs comparably to state-of-the-art collection protocols from the perspective of energy efficiency. In addition, we share experiences of three real-world applications with different requirements, namely tomato greenhouse monitoring, structure monitoring, and wireless camera networks, to reveal the practicality of the platform.
@inproceedings{suzuki2017WSTP,
address = {USA},
series = {{EWSN} ’17},
title = {Wireless-{Transparent} {Sensing}},
isbn = {978-0-9949886-1-4},
url = {http://dl.acm.org/citation.cfm?id=3108009.3108019},
abstract = {Even after decades of efforts, wireless sensor networks (WSNs) have not gained huge momentum as people expected. The discussions with researchers and engineers in other fields make us believe that the essential problem is the lossy, unstable, and opaque nature of wireless networks rather than the power consumption or throughput problems. To tackle this key problem, we propose the concept of Wireless-Transparent Sensing that is qualified by the following conditions. First, collected data should be easy-to-use, similar to data collected by wired instruments, i.e., sampling timing should be aligned, and no data losses should occur. Second, the sensor network must be simple and responsive so that it can be managed as easily as wired instruments. Third, the system should sustainably deliver decent performance under diverse circumstances so that users do not have to choose different protocols to meet traffic demands. To realize and verify the concept, we have developed WTSP (Wireless-Transparent Sensing Platform) with two characteristics of slot scheduling based on the concurrent transmission flooding. First, the sink node schedules slots on the fly; only several slots are determined within a schedule packet, and additional schedule or sleep packets are distributed once the distributed schedule is completed, making scheduling very flexible. Second, the scheduling is service-driven; scheduling is delegated to upper-layer services and each service directly makes a schedule, which allows the sink node to predict communication demands accurately. Using a large-scale testbed, we show that WTSP satisfies the above three conditions in many situations, and surprisingly outperforms or performs comparably to state-of-the-art collection protocols from the perspective of energy efficiency. In addition, we share experiences of three real-world applications with different requirements, namely tomato greenhouse monitoring, structure monitoring, and wireless camera networks, to reveal the practicality of the platform.},
urldate = {2019-02-15},
booktitle = {Proceedings of the 2017 {International} {Conference} on {Embedded} {Wireless} {Systems} and {Networks}},
publisher = {Junction Publishing},
author = {Suzuki, Makoto and Liao, Chun-Hao and Ohara, Sotaro and Jinno, Kyoichi and Morikawa, Hiroyuki},
year = {2017},
note = {event-place: Uppsala, Sweden},
pages = {66--77}
}
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