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A Constrained Optimization Framework for Wireless Networking in Multi-Vehicle Applications |
Abstract |
This paper presents an optimization framew … This paper presents an optimization framework for broadcast power-control, specifically addressed
at wireless networking issues arising in implementing information flows for multi-vehicle
systems. We formulate an optimization problem for the minimization of an aggregate cost subject
to a constraint on a quantity we call the geometric connection robustness, which is a locally
computable numerical assessment of the robustness of the an information flow to perturbations
in position. Our main result is a location-aided distributed power-control algorithm based on
a gradient-like optimization scheme. We also use geometric connection robustness to develop a
cheap distributed heuristic for the construction of sparse connected information flow. tion of sparse connected information flow. +
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Authors | Demetri P. Spanos and Richard M. Murray + |
ID | 2003t + |
Source | Submitted, 2004 American Control Conference (ACC) + |
Tag | sm04-acc + |
Title | A Constrained Optimization Framework for Wireless Networking in Multi-Vehicle Applications + |
Type | Conference Paper + |
Categories | Papers |
Modification date This property is a special property in this wiki.
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15 May 2016 06:18:32 + |
URL This property is a special property in this wiki.
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http://www.cds.caltech.edu/~murray/preprints/sm04-acc_s.pdf + |
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A Constrained Optimization Framework for Wireless Networking in Multi-Vehicle Applications + | Title |
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