Publication Type
Conference Proceeding Article
Version
acceptedVersion
Publication Date
3-2004
Abstract
In this paper we investigate the expected lifetime and information capacity, defined as the maximum amount of data (bits) transferred before the first sensor node death due to energy depletion, of a data-gathering wireless sensor network. We develop a fluidflow based computational framework that extends the existing approach, which requires precise knowledge of the layout/deployment of the network, i.e., exact sensor positions. Our method, on the other hand, views a specific network deployment as a particular instance (sample path) from an underlying distribution of sensor node layouts and sensor data rates.
Keywords
mathematical programming, linear program, optimization, system design, wireless sensor networks, lifetime, capacity, sensor deployment, node distribution, optimal routing, fluid flow model, robustness, stability
Discipline
Software Engineering
Research Areas
Software and Cyber-Physical Systems
Publication
WiOpt ’04: 2nd Workshop on Modeling and Optimization in Mobile, Ad-Hoc and Wireless Networks, Cambridge, March 24-26
First Page
811
Last Page
824
Identifier
10.1007/s11036-005-4440-x
Publisher
Springer
City or Country
Norwell, MA
Citation
DUARTE-MELO, Enrique; LIU, Mingyan; and MISRA, Archan.
A Modeling Framework for Computing Lifetime and Information Capacity in Wireless Sensor Networks. (2004). WiOpt ’04: 2nd Workshop on Modeling and Optimization in Mobile, Ad-Hoc and Wireless Networks, Cambridge, March 24-26. 811-824.
Available at: https://ink.library.smu.edu.sg/sis_research/697
Copyright Owner and License
Authors
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.1007/s11036-005-4440-x
Comments
Appeared as special issue of Mobile Networks and Applications, 10, 811-824.