A Modeling Framework for Computing Lifetime and Information Capacity in Wireless Sensor Networks

A Modeling Framework for Computing Lifetime and Information Capacity in Wireless Sensor Networks

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 ext...

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Bibliographic Details
Main Authors: DUARTE-MELO, Enrique, LIU, Mingyan, MISRA, Archan
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2004
Subjects:
mathematical programming
linear program
optimization
system design
wireless sensor networks
lifetime
capacity
sensor deployment
node distribution
optimal routing
fluid flow model
robustness
stability
Software Engineering
Online Access:https://ink.library.smu.edu.sg/sis_research/697
https://ink.library.smu.edu.sg/context/sis_research/article/1696/viewcontent/Duarte_Melo2005_EfficientAndRobustComputation_av.pdf
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Institution: Singapore Management University
Language: English
Description
Summary: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.

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