Data mules: Modeling a three-tier architecture for sparse sensor networks (2003)
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| Venue: | IN IEEE SNPA WORKSHOP |
| Citations: | 237 - 4 self |
BibTeX
@INPROCEEDINGS{Shah03datamules:,
author = {Rahul C. Shah and Sumit Roy and Sushant Jain and Waylon Brunette},
title = {Data mules: Modeling a three-tier architecture for sparse sensor networks},
booktitle = {IN IEEE SNPA WORKSHOP},
year = {2003},
pages = {30--41},
publisher = {}
}
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Abstract
Abstract — This paper presents and analyzes an architecture that exploits the serendipitous movement of mobile agents in an environment to collect sensor data in sparse sensor networks. The mobile entities, called MULEs, pick up data from sensors when in close range, buffer it, and drop off the data to wired access points when in proximity. This leads to substantial power savings at the sensors as they only have to transmit over a short range. Detailed performance analysis is presented based on a simple model of the system incorporating key system variables such as number of MULEs, sensors and access points. The performance metrics observed are the data success rate (the fraction of generated data that reaches the access points) and the required buffer capacities on the sensors and the MULEs. The modeling along with simulation results can be used for further analysis and provide certain guidelines for deployment of such systems. I.
