期刊名称：International Journal of Distributed Sensor Networks
印刷版ISSN：1550-1329
电子版ISSN：1550-1477
出版年度：2013
卷号：2013
DOI：10.1155/2013/324641
出版社：Hindawi Publishing Corporation
摘要：With the development of sensor networks and emerging of various sensors, sensor networks are capable of acquiring
mass data to achieve much more complex monitoring tasks than
ever. For example, image sensor nodes take photos using cameras,
and images are collected and processed or stored for further
processing. So, mass data processing is required for these sensor
networks. However, low-power resource-constrained sensor nodes
are normally equipped with kilobytes of RAM which might be
not enough for storing large data for processing. In this paper,
we propose an optimized virtual memory mechanism for large
data processing on low-power sensor nodes. We point out the
major overhead of virtual memory for large data processing
on sensor nodes and introduce efficient solutions to address
these issues. Evaluation shows that the overhead of the proposed
virtual memory is reduced to an affordable range. We further
compare the energy consumption of data processing programs
using virtual memory with other means that process or transmit
data. Data processing using virtual memory can be significantly
more energy efficient than data processing using rich-resource
sensor nodes or transmitting data to powerful gateways for
central processing.
