The design and implementation of a log-structured file system
SOSP '91 Proceedings of the thirteenth ACM symposium on Operating systems principles
Proceedings of the 10th international conference on Architectural support for programming languages and operating systems
Dimensions: why do we need a new data handling architecture for sensor networks?
ACM SIGCOMM Computer Communication Review
Non-Uniform Information Dissemination for Sensor Networks
ICNP '03 Proceedings of the 11th IEEE International Conference on Network Protocols
An evaluation of multi-resolution storage for sensor networks
Proceedings of the 1st international conference on Embedded networked sensor systems
ELF: an efficient log-structured flash file system for micro sensor nodes
SenSys '04 Proceedings of the 2nd international conference on Embedded networked sensor systems
Data collection, storage, and retrieval with an underwater sensor network
Proceedings of the 3rd international conference on Embedded networked sensor systems
A flash-memory based file system
TCON'95 Proceedings of the USENIX 1995 Technical Conference Proceedings
Collaborative storage management in sensor networks
International Journal of Ad Hoc and Ubiquitous Computing
| Hi-index | 0.00 |
Flash memory is often the technology of choice for sensor networks because of its cost-effectiveness and attractive energy properties. In storage- constrained sensor network applications, the monitored data is typically stored in multi-resolution fashion. This allows reclamation of some storage space when needed by reducing the quality of stored data by eliminating some of the precision. Existing sensor network file systems are optimized for sequential logging of the data. However, flash memories have a number of unique properties that require careful consideration in file system design. In this paper, we show that in applications where adjustable resolution occurs, sequential logging file-systems result in an inefficient implementation of adjustable resolution. We propose an alternative implementation of the file system where data components are grouped with each other according to resolution. Thus, reducing resolution is implemented by simply erasing the pages with the excess resolution components. We have implemented the proposed scheme on crossbow MICA2 sensor nodes. In addition, using TOSSIM simulations, we show that as compared to the existing approach, the proposed scheme results in significant savings in read and write operations to the flash (thereby in turn saving energy, and reducing wear). Further, we show that wear leveling can be maintained over time by assigning the most significant data to the most frequently used pages.