DocumentCode :
1926684
Title :
Data Intensive Mobile Sensornets: Killer Applications and Grand Deterrents
Author :
Zadorozhny, Vladimir ; Krishnamurthy, Prashant
Author_Institution :
University of Pittsburgh, USA
fYear :
2006
fDate :
10-12 May 2006
Firstpage :
66
Lastpage :
66
Abstract :
Data Intensive Mobile Sensor Networks (DIMSNs) introduce a promising but still under-utilized technology. Meanwhile, there is a growing confidence that certain applications (Killer Apps) have a potential to create a sustained market for this technology. For example, a large team of cooperative mobile robots can be considered as a wireless sensornet composed of a number of mobile nodes most of which are powerconstrained. Such mobile robots can be deployed in conjunction with stationary sensor nodes to acquire and process data for surveillance and tracking, environmental monitoring for highly sensitive areas, or execute search and rescue operations. This example illustrates conceptual attractiveness of the DIMSN systems that generates interesting and appealing research challenges (e.g., intelligent mobile agents, semantically enriched and contextaware wireless services, smart network monitoring infrastructures). However, while providing excellent funding opportunities, those challenges often underestimate the GRAND DETERRENTS that make moves towards practical data-intensive mobile sensornets extremely difficult.
Keywords :
Context-aware services; Intelligent agent; Intelligent networks; Intelligent robots; Intelligent sensors; Mobile agents; Mobile robots; Monitoring; Surveillance; Wireless sensor networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Mobile Data Management, 2006. MDM 2006. 7th International Conference on
ISSN :
1551-6245
Print_ISBN :
0-7695-2526-1
Type :
conf
DOI :
10.1109/MDM.2006.61
Filename :
1630602
Link To Document :
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