Name
Abstract | ||
|---|---|---|
In data collection applications of low-end sensor networks, a major challenge is ensuring reliability without a significant goodput degradation. Short hops over high-quality links minimize per-hop transmissions, but long routes may cause congestion and load imbalance. Longer links can be exploited to build shorter routes, but poor links may have a high energy cost. There exists a complex interplay among routing performance (reliability, goodput, energy efficiency), link estimation, congestion control, and load balancing; we design a routing architecture, Arbutus, that exploits this interplay, and perform an extensive experimental evaluation on testbeds of 100-150 Berkeley motes. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1145/1777406.1777407 | TOSN |
Keywords | Field | DocType |
load balancing,berkeley mote,reliable data delivery,longer link,routing,congestion control,high energy cost,con- gestion control,additional key words and phrases: wireless sensor networks,significant goodput degradation,load imbalance,complex interplay,routing architecture,energy efficiency,large-scale low-power sensor network,sensor network,data collection,load balance,wireless sensor network,wireless sensor networks,energy efficient | Data collection,Key distribution in wireless sensor networks,Load balancing (computing),Efficient energy use,Computer science,Computer network,Exploit,Real-time computing,Network congestion,Goodput,Wireless sensor network | Journal |
Volume | Issue | ISSN |
6 | 4 | 1550-4859 |
Citations | PageRank | References |
25 | 1.39 | 36 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Daniele Puccinelli | 1 | 233 | 19.40 |
| Martin Haenggi | 2 | 4480 | 292.10 |