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NASA Scientific and Technical Aerospace Reports

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20040111478 Cornell Univ., Ithaca, NY<br />

Self-Configuring Wireless Transmission <strong>and</strong> Decentralized Data Processing for Generic Sensor Networks<br />

Wicker, Steven B.; Jul. 2004; 38 pp.; In English; Original contains color illustrations<br />

Contract(s)/Grant(s): F30602-00-2-0558; DARPA ORDER-K257; Proj-K257<br />

Report No.(s): AD-A425425; AFRL-IF-RS-TR-2004-204; No Copyright; Avail: CASI; A03, Hardcopy<br />

This report describes the results of the Self- Configuring Wireless Sensor Network effort at Cornell University, funded<br />

under the DARPA SensIT program. The primary goal of this effort was the development of core technologies for large sensor<br />

networks that are truly self-configuring. Such networks should not depend on fixed emplacements or predefined topologies.<br />

Control by a centralized authority should be minimized; all aspects of network management should be h<strong>and</strong>led in a distributed<br />

manner, with all network elements sharing a collective responsibility of performance maintenance. Our technology<br />

development fell into three basic areas. First, we conducted an in-depth study of phase transitions <strong>and</strong> complexity in large<br />

wireless networks. Our goal in this area was the identification of complexity thresholds, bounding the computational<br />

complexity of management protocols for extremely large networks. Second, we considered the use of game theory in the<br />

development of truly distributed network control algorithms. Finally, we developed models for the trade-off between energy<br />

conservation <strong>and</strong> robustness in wireless networks.<br />

DTIC<br />

Communication Networks; Configuration Management; Data Processing<br />

20040111532 Engineering Research <strong>and</strong> Consulting, Inc., Edwards AFB, CA<br />

Numerical Modeling of ISS Thruster Plume Induced Contamination Environment<br />

Alexeenko, A. A.; Wadsworth, D. C.; Gimelshein, S. F.; Ketsdever, A. D.; Jul. 21, 2004; 12 pp.; In English; Original contains<br />

color illustrations<br />

Contract(s)/Grant(s): F04611-99-C-0025<br />

Report No.(s): AD-A425541; No Copyright; Avail: CASI; A03, Hardcopy<br />

Assessment of thruster induced contamination of critical surfaces is the important <strong>and</strong> necessary stage of International<br />

Space Station (ISS) component design. Plume contamination models aimed at the prediction of the spatial distribution of<br />

contaminant mass fluxes have been developed in the recent years for various ISS thrusters based on vacuum chamber <strong>and</strong><br />

space flight experiments <strong>and</strong> empirical correlations 1, 2. Relatively scarce space flight contamination data have been gathered<br />

to date <strong>and</strong> are mostly limited to the measurements of thruster plume centerline contaminant fluxes. It is necessary, however,<br />

to have detailed knowledge of the contaminant deposition as a function of the angle from the plume centerline, especially, in<br />

the plume backflow region. The realization of this fact has motivated new flight experiments which are being planned for a<br />

future Space Shuttle mission.<br />

DTIC<br />

Contaminants; Contamination; Exhaust Gases; Flux (Rate); Mathematical Models; Numerical Analysis; Plumes<br />

20040111993 <strong>NASA</strong> Langley Research Center, Hampton, VA, USA<br />

Continuous Optimization on Constraint Manifolds<br />

Dean, Edwin B.; [1988]; 14 pp.; In English; TIMS/ORSA Joint National Meeting, 25-27 Apr. 1988, Washington, DC, USA;<br />

Original contains black <strong>and</strong> white illustrations; No Copyright; Avail: CASI; A03, Hardcopy<br />

This paper demonstrates continuous optimization on the differentiable manifold formed by continuous constraint<br />

functions. The first order tensor geodesic differential equation is solved on the manifold in both numerical <strong>and</strong> closed analytic<br />

form for simple nonlinear programs. Advantages <strong>and</strong> disadvantages with respect to conventional optimization techniques are<br />

discussed.<br />

Author<br />

Manifolds (Mathematics); Optimization; Constraints; Differential Equations; Functions (Mathematics); Continuity<br />

(Mathematics)<br />

20040120960 <strong>NASA</strong> Langley Research Center, Hampton, VA, USA<br />

Reconfigurability in MDO Problem Synthesis, Part 1<br />

Alex<strong>and</strong>rov, Natalia M.; Lewis, Robert Michael; [2004]; 10 pp.; In English; 10th AIAA/ISSMO Multidisciplinary Analysis<br />

<strong>and</strong> Optimization, 30 Aug. - 1 Sep. 2004, Albany, NY, USA; Original contains color illustrations<br />

Contract(s)/Grant(s): NCC1-02029; NSF DMS-02-15444<br />

Report No.(s): AIAA Paper 2004-4307-Pt-1; No Copyright; Avail: CASI; A02, Hardcopy<br />

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