Name
Abstract | ||
|---|---|---|
A large number of low-power wireless communication protocols has been proposed in the last decade by both academia and industry in an attempt to deliver information in an increasingly reliable, timely, and energy-efficient manner. However, their level of dependability has rarely been benchmarked under the same settings and environmental conditions. In this paper we present the execution and results of a competition aimed to evaluate the dependability of state-of-the-art low-power wireless protocols under the same settings, and push their performance to the limit. We define a scenario emulating the operation of a wireless sensor network in industrial environments rich with radio interference and compare the end-to-end dependability of systems based on protocol strategies ranging from adaptive and time-slotted frequency-hopping to multi-modal routing and flooding. To increase fairness and realism, we allow the developers of the competing protocols to interact with the benchmarking infrastructure and optimize the protocol parameters for the scenario at hand. We achieve this by designing, implementing, and employing D-Cube, a low-cost tool that allows to accurately measure key dependability metrics such as end-to-end delay, reliability, and power consumption, as well as to graphically visualize their evolution in real-time. This interaction with the benchmarking infrastructure and the competitiveness of the event have incited the developers to push the performance of their protocols to the limit and reach impressive results. |
Year | Venue | Field |
|---|---|---|
2017 | EWSN | Dependability,Wireless,On-Protocol,Computer science,Electromagnetic interference,Computer network,Real-time computing,Ranging,Wireless sensor network,Benchmarking,Power consumption |
DocType | Citations | PageRank |
Conference | 4 | 0.51 |
References | Authors | |
35 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Markus Schuß | 1 | 4 | 1.19 |
| Carlo Alberto Boano | 2 | 544 | 42.61 |
| Manuel Weber | 3 | 16 | 1.05 |
| Kay Römer | 4 | 1270 | 137.16 |