Name
Abstract | ||
|---|---|---|
Data collection is one of the most important functions provided by wireless sensor networks. Here, we study the theoretical limitations of data collection and data aggregation in terms of delay and capacity for a wireless sensor network where n sensors are randomly deployed. We consider two different communication scenarios (with or without aggregation) under physical interference model. For each scenario, we first propose a new collection method and analyze its performance in terms of delay and capacity, then theoretically prove that our method can achieve the optimal order. Particularly, the capacity of data collection is in order of Θ(W) where W is the fixed data-rate on individual links. If each sensor can aggregate its receiving packets into a single packet to send, the capacity of data collection increases to Θ((n/log n) W). |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1109/GLOCOM.2009.5425229 | GLOBECOM |
Keywords | Field | DocType |
data collection increase,physical interference model,fixed data-rate,data collection delay,important function,n sensor,wireless sensor network,random-deployed wireless sensor networks,different communication scenario,data collection capacity,channel capacity,data collection method,wireless sensor networks,random-deployed wireless,data collection,data aggregation method,optimal order,delay estimation,data aggregation,new collection method,upper bound,interference,capacitive sensors | Key distribution in wireless sensor networks,Data collection,Upper and lower bounds,Computer science,Network packet,Computer network,Real-time computing,Interference (wave propagation),Wireless sensor network,Channel capacity,Data aggregator | Conference |
ISSN | ISBN | Citations |
1930-529X | 978-1-4244-4148-8 | 11 |
PageRank | References | Authors |
0.50 | 13 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Siyuan Chen | 1 | 11 | 0.50 |
| Yu Wang | 2 | 1432 | 87.32 |
| Xiang-Yang Li | 3 | 6855 | 435.18 |
| Xinghua Shi | 4 | 209 | 19.00 |