@inproceedings{b18f6e0e6fc5431e947fd835b3d0131c,
title = "Data MULEs: Modeling a three-tier architecture for sparse sensor networks",
abstract = "This paper presents and analyzes an architecture to collect sensor data in sparse sensor networks. Our approach exploits the presence of mobile entities (called MULEs) present in the environment. MULEs pick up data from the sensors when in close range, buffer it, and drop off the data to wired access points. This can lead to substantial power savings at the sensors as they only have to transmit over a short range. This paper focuses on a simple analytical model for understanding performance as system parameters are scaled. Our model assumes two-dimensional random walk for mobility and incorporates 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.",
keywords = "Analytical models, Base stations, Capacitive sensors, Costs, Data analysis, Delay, Monitoring, Power system modeling, Telecommunication traffic, Wireless sensor networks",
author = "Shah, {R. C.} and S. Roy and S. Jain and W. Brunette",
note = "Publisher Copyright: {\textcopyright} 2003 IEEE.; 1st IEEE International Workshop on Sensor Network Protocols and Applications, SNPA 2003 ; Conference date: 11-05-2003",
year = "2003",
doi = "10.1109/SNPA.2003.1203354",
language = "English (US)",
series = "Proceedings of the 1st IEEE International Workshop on Sensor Network Protocols and Applications, SNPA 2003",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "30--41",
editor = "Taieb Znati and Erdal Cayirci and Eylem Ekici",
booktitle = "Proceedings of the 1st IEEE International Workshop on Sensor Network Protocols and Applications, SNPA 2003",
}