Name
Abstract | ||
|---|---|---|
Graph-based topology control adapts wireless topologies to achieve certain target graph structures. Wireless sensor networks seem well-suited for the expectations (in particular those on provided energy savings) raised by topology control. Nevertheless, topology control has never made the breakthrough in real-world deployments. This work explores the reasons for this, identifying five practical obstacles of today's topology control: (i) unrealistic assumptions, (ii) unsuitable graph structures, (iii) application agnosticism, (iv) unclear role in the stack, and (v) insufficient framework support. To address the latter obstacle, we provide a re-usable framework for the implementation and evaluation of topology control. Based on this framework, we conduct a testbed-based evaluation for two application scenarios and three topology control algorithms including a novel application-specific algorithm. Indeed, the identified obstacles hinder topology control from boosting the application. However, the achieved graph structures show the practical feasibility of topology control in principle. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/LCN.2016.67 | 2016 IEEE 41st Conference on Local Computer Networks (LCN) |
Keywords | Field | DocType |
WSN,topology adaptation,graph,testbed | Obstacle,Logical topology,Algorithm design,Topology control,Wireless,Computer science,Testbed,Computer network,Network topology,Wireless sensor network,Distributed computing | Conference |
ISSN | ISBN | Citations |
0742-1303 | 978-1-5090-2055-3 | 0 |
PageRank | References | Authors |
0.34 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Michael Stein | 1 | 35 | 7.64 |
| Tobias Petry | 2 | 0 | 0.34 |
| Immanuel Schweizer | 3 | 76 | 11.56 |
| Martina Brachmann | 4 | 3 | 1.44 |
| Max Mühlhäuser | 5 | 1652 | 252.87 |