NDLI: Collaborative event detection using mobile and stationary nodes in sensor networks

Content Provider	IEEE Xplore Digital Library
Author	Lambrou, T.P. Panayiotou, C.G.
Copyright Year	2007
Description	Author affiliation: Dept. of Electr. & Comput. Eng., Univ. of Cyprus, Nicosia (Lambrou, T.P.; Panayiotou, C.G.)
Abstract	Monitoring a large area with stationary sensor networks requires a very large number of nodes which with current technology implies a prohibitive cost. The motivation of this work is to develop an architecture where a set of mobile sensors will collaborate with the stationary sensors in order to reliably detect and locate an event. The main idea of this collaborative architecture is that the mobile sensors should sample the areas that are least covered (monitored) by the stationary sensors. Furthermore, when stationary sensors have a ldquosuspicionrdquo that an event may have occurred, they report it to a mobile sensor that can move closer to the suspected area and can confirm whether the event has occurred or not. An important component of the proposed architecture is that the mobile nodes autonomously decide their path based only on local information (their own beliefs and measurements as well as information collected from the stationary sensors in their communication range). We believe that this approach is appropriate in the context of wireless sensor networks since it is not feasible to have an accurate global view of the state of the environment.
Starting Page	106
Ending Page	115
File Size	673335
Page Count	10
File Format	PDF
ISBN	9781424413188
DOI	10.1109/COLCOM.2007.4553818
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-11-12
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Context Costs mixed sensor networks Event detection path-planning Mobile communication Path planning coverage holes Wireless sensor networks Collaboration Lakes Collaborative work Monitoring
Content Type	Text
Resource Type	Article

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