Abstract | ||
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Wireless sensor networks provide an effective tool,for acquiring sensor measurements across a large area. Devices in a sensor field can automatically configure themselves into a working network, ready to collect data. The challenge is to collect that data in a timely and power-efficient manner.In some environments, a data collection device (sink) may need to travel periodically through the field to gather data because keeping a local,storage system is impractical. The goal is for this moving sink to gather the most data in the shortest amount of tune using the least amount of inter-node communication. Network reconfigure time, memory limitations, and brief radio contact time make this goal challenging.In this work, we explore three aspects of data retrieval. First, we explore with what nodes the sink should communicate. We present a selection technique for picking target nodes to increase data retrieval rates. We then optimize data collection through message forwarding and exclusion. These two techniques improve data retrieval by 35% on average. Finally; we consider the effect of erratic sink paths on data collection. |
Year | Venue | Keywords |
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2005 | ICWN '05: PROCEEDINGS OF THE 2005 INTERNATIONAL CONFERENCE ON WIRELESS NETWORKS | data collection,data retrieval,storage system,power efficiency,wireless sensor network |
Field | DocType | Citations |
Wireless network,Key distribution in wireless sensor networks,Wireless site survey,Computer science,Visual sensor network,Computer network,Wireless WAN,Mobile wireless sensor network,Wi-Fi array,Wireless sensor network | Conference | 0 |
PageRank | References | Authors |
0.34 | 5 | 5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Andrew Lebeau | 1 | 0 | 0.34 |
Justin Fields | 2 | 0 | 0.34 |
Ryan Lavering | 3 | 0 | 0.34 |
Diana Franklin | 4 | 332 | 40.85 |
John S. Seng | 5 | 116 | 9.71 |