Title :
Adaptive Information Delivery in Data-Intensive Sensor Networks
Author :
Sharma, Divyasheel ; Zadorozhny, Vladimir
Author_Institution :
Ind. Software Syst., ABB Corp. Res., Bangalore, India
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;
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
DOI :
10.1109/MDM.2011.62
