Abstract
In wireless sensors and actuator networks, different data
sources such as sensors are often required to report data to
different destinations such as actuators. In this paper, we
ask if the destination diversity, presence of multiple destinations,
can enable multiple successful receptions when the
sensors transmit their distinctly different data packets over
a shared wireless channel in a multi-hop mesh network at
the same time. To answer this, we present CROWN, a network
protocol that exploits the destination diversity, capture
effect, and spatially-separated multi-hop paths between
source-destination pairs to enable robust, fast, and energy efficient
many-to-many communication between sensors and
actuators.
sources such as sensors are often required to report data to
different destinations such as actuators. In this paper, we
ask if the destination diversity, presence of multiple destinations,
can enable multiple successful receptions when the
sensors transmit their distinctly different data packets over
a shared wireless channel in a multi-hop mesh network at
the same time. To answer this, we present CROWN, a network
protocol that exploits the destination diversity, capture
effect, and spatially-separated multi-hop paths between
source-destination pairs to enable robust, fast, and energy efficient
many-to-many communication between sensors and
actuators.
| Original language | English |
|---|---|
| Publication status | Published - 2018 |
| Event | International Conference on Embedded Wireless Systems and Networks (EWSN) - Madrid, Spain Duration: 14 Feb 2018 → 18 Feb 2018 |
Conference
| Conference | International Conference on Embedded Wireless Systems and Networks (EWSN) |
|---|---|
| Abbreviated title | EWSN |
| Country/Territory | Spain |
| City | Madrid |
| Period | 14/02/18 → 18/02/18 |
Keywords
- Sensor Networks
- Glossy
- WSN
- 802.15.4
Fingerprint
Dive into the research topics of 'Competition: CROWN--Concurrent ReceptiOns in Wireless Sensor and Actuator Networks'. Together they form a unique fingerprint.Student theses
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Software Defined Networking for the Industrial Internet of Things
Baddeley, M. (Author), Nejabati, R. (Supervisor) & Oikonomou, G. (Supervisor), 24 Mar 2020Student thesis: Doctoral Thesis › Doctor of Philosophy (PhD)
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