DocumentCode
2211751
Title
Adaptive Information Delivery in Data-Intensive Sensor Networks
Author
Sharma, Divyasheel ; Zadorozhny, Vladimir
Author_Institution
Ind. Software Syst., ABB Corp. Res., Bangalore, India
Volume
1
fYear
2011
fDate
6-9 June 2011
Firstpage
295
Lastpage
296
Abstract
The combined effect of various problems such as congestion, collisions and route unavailability for data in Data-Intensive Sensor Networks is hard to estimate. This is one of the major reasons why existing solutions that try to optimize all these do not scale and have limited applicability. Our light-weight approach uses decisions made locally by individual sensors to efficiently discover desirable information processing patterns. Since, each node makes decisions based on local knowledge, this approach is more scalable.
Keywords
telecommunication network routing; wireless sensor networks; adaptive information delivery; collisions; congestion; data intensive sensor networks; information processing patterns; route unavailability; Adaptation models; Degradation; Educational institutions; Markov processes; Propagation losses; USA Councils; Wireless sensor networks; Markov Decision Process-based Rate Adaptation (MDP-RA); dynamic rate adaptation; wireless sensor networks;
fLanguage
English
Publisher
ieee
Conference_Titel
Mobile Data Management (MDM), 2011 12th IEEE International Conference on
Conference_Location
Lulea
Print_ISBN
978-1-4577-0581-6
Electronic_ISBN
978-0-7695-4436-6
Type
conf
DOI
10.1109/MDM.2011.62
Filename
6068453
Link To Document