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Optimal Sequential Energy Allocation for Inverse Problems
2007
IEEE Journal on Selected Topics in Signal Processing
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For = 2, we derive the optimal energy allocation at the second step as a function of the first measurement. ...
Index Terms-Channel estimation, energy management, inverse scattering, maximum likelihood, parameter estimation, sequential design. ...
For a two-step problem, we found the optimal energy allocation at the second step as a function of the first measurement for a scalar parameter in the linear Gaussian model. ...
doi:10.1109/jstsp.2007.897049
fatcat:uysmfjyqpnadxmrujz4s3h2owa
Sequential Energy Allocation Strategies for Channel Estimation
2007
2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07
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This adaptive 2-step energy allocation strategy gives a mean-squared error (MSE) improvement of at least 1.7dB relative to the optimal non-adaptive strategy. ...
The context of this paper is adaptive waveform design for estimating parameters of an unknown channel under average energy constraints. ...
In this paper, we find optimal sequential energy allocation strategies for a general class of estimation problems under an average power constraint and show performance gains over non-adaptive design strategies ...
doi:10.1109/icassp.2007.366806
dblp:conf/icassp/RangarajanRH07
fatcat:wurd35s7ufdspglfd4kvd3ls7u
Fairness in sequential estimation: A cooperative game theoretic solution for WSNs
2010
IEEE 10th INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING PROCEEDINGS
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We propose a simple game theoretic solution to the problem of power allocation for sensor nodes that are subjected to power constraints. ...
This framework allows addressing the issue of fair resource allocation for sequential estimation task at the Fusion center (FC) in a WSN as a solution of a cooperative game. ...
The optimal power scheduling for distributed estimation in power/energy-constrained WSNs were discussed in [3] , [4] . ...
doi:10.1109/icosp.2010.5655166
fatcat:xjfpg47rgrc4fo3kqend3cvvbq
Wireless sensor networks: scheduling for measurement and data reporting
2006
IEEE Transactions on Aerospace and Electronic Systems
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An optimal load allocation approach is presented for measurement and data reporting in wireless sensor networks with a single level tree network topology. ...
We seek to optimally assign sensors part of the measurement space to minimize reporting time and energy usage. Three representative measurement and reporting strategies are studied. ...
Our optimization problem is to allocate which part of the frequency range each sensor should measure so as to do the sensing and communication in a minimal amount of time and with a minimum amount of energy ...
doi:10.1109/taes.2006.1603426
fatcat:4k57ohoovbg5noswrn5i3bej7y
Optimal Sequential Detection with Stochastic Energy Constraint
2011
2011 Seventh International Conference on Mobile Ad-hoc and Sensor Networks
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Optimal decision rules including energy allocation, stopping rule and terminal decision rules are derived for both setups. ...
The sequential detection problem in wireless sensors powered by energy harvested from the enviroment is considered. ...
Lemma 3.1: For the optimization problem (2) and (3) , the optimal energy allocation strategy is to spend the energy on taking observation as soon as the energy is harvested, i.e. µ i = S i for any i ...
doi:10.1109/msn.2011.90
dblp:conf/msn/GengL11
fatcat:l7opauywyzhjpnfvps5pp7ywya
Sequential design of experiments for a rayleigh inverse scattering problem
2005
IEEE/SP 13th Workshop on Statistical Signal Processing, 2005
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We keep the transmitted spatial waveforms fixed and find the optimal energy allocation strategy that minimizes this error under a fixed energy constraint. ...
We show that this sequential design approach performs better than a single step experiment. Closedform expressions for the optimal transmission scheme and the minimum mean squared error are provided. ...
We also intend to solve the problem of optimizing the transmitted spatial waveform rather than just looking at the energy allocation. ...
doi:10.1109/ssp.2005.1628670
fatcat:oh6zeninvfd2facxdzd4xji2d4
AN INVERSE CONTROL PROCESS AND AN INVERSE ALLOCATION PROCESS
逆制御過程と逆配分過程
1981
Journal of the Operations Research Society of Japan
逆制御過程と逆配分過程
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An inverse theory of sequential decision processes, including the standard control process and alloeation process, is developed. ...
into an equivalent inverse DP by an algebraic inversion. ...
First, this paper, [5], i9] and [10] diseuss sequential deetston processes, whUe [6] and [8] do mathe- rnatieal prograrnming problems. ...
doi:10.15807/jorsj.24.1
fatcat:zgxpxaxvwbefpnvcfbszkbo33u
Design and implementation of pseudo-inverse thrust allocation algorithm for ship dynamic positioning
2019
IEEE Access
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In this paper, in view of the above problems, considering the propeller and the environment load conditions, a thrust allocation scheme based on the pseudo inverse algorithm with weight is proposed for ...
INDEX TERMS Pseudo-inverse method, dynamic positioning, thrust allocation, optimize. ...
It can be seen as the optimization problems for Eq. ...
doi:10.1109/access.2019.2923718
fatcat:43mx6vygnrbsdoj7ivl7fmmcky
Fast Crown Scheduling Heuristics for Energy-Efficient Mapping and Scaling of Moldable Streaming Tasks on Manycore Systems
2015
ACM Transactions on Architecture and Code Optimization (TACO)
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We investigate the problem of generating energy-optimal code for a collection of streaming tasks that include parallelizable or moldable tasks on a generic manycore processor with dynamic discrete frequency ...
In this paper we consider crown scheduling, a novel technique for the combined optimization of resource allocation, mapping and discrete voltage/frequency scaling for moldable streaming task collections ...
Pruhs et al. [2008] solve the problem optimally for sequential tasks with continuous frequencies and power model f α . ...
doi:10.1145/2687653
fatcat:ui46eht4wbdwbb72ariyk4rhkm
Energy-Aware Cognitive Radio Systems
[chapter]
2016
Energy Management in Wireless Cellular and Ad-hoc Networks
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It becomes indispensable for wireless communication systems to shift their resource allocation problems from optimizing traditional metrics, such as throughput and latency, to an environmental-friendly ...
A literature survey of recent energy-efficient based resource allocations schemes is presented for cognitive radio systems. ...
An optimization problem to maximize the U energy−reliability in (21) is formulated subject to interference and maximum distortion level for PU reliable detection constraints, and it is solved using sequential ...
doi:10.1007/978-3-319-27568-0_11
fatcat:77a6rwvizjf45j4sqp6cgieszi
Fast Crown Scheduling Heuristics for Energy-Efficient Mapping and Scaling of Moldable Streaming Tasks on Many-Core Systems
2015
Proceedings of the 18th International Workshop on Software and Compilers for Embedded Systems - SCOPES '15
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We investigate the problem of generating energy-optimal code for a collection of streaming tasks that include parallelizable or moldable tasks on a generic manycore processor with dynamic discrete frequency ...
In this paper we consider crown scheduling, a novel technique for the combined optimization of resource allocation, mapping and discrete voltage/frequency scaling for moldable streaming task collections ...
Pruhs et al. [2008] solve the problem optimally for sequential tasks with continuous frequencies and power model f α . ...
doi:10.1145/2764967.2764975
dblp:conf/scopes/MelotK0E15
fatcat:u3gxpectozf6plldad75whvgua
On the complexity of task allocation
1997
Complexity
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A detailed study is presented on the combinatorial optimization problem of allocating parallel tasks to a parallel computer. ...
Simulated annealing is used to find the optimal allocations, which is justified by the self-similar structure of the task allocation energy landscape. ...
It is shown that a paramount characteristic of the TAP is the presence of a sudden transition from sequential to parallel optimal allocation, for specific model constraints. ...
doi:10.1002/(sici)1099-0526(199711/12)3:2<52::aid-cplx12>3.0.co;2-r
fatcat:sfpy4nl2dbfpbpbqdxmy4txsnu
Optimal Two-Stage Search for Sparse Targets Using Convex Criteria
2008
IEEE Transactions on Signal Processing
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His research focus is on adaptive and efficient resource-allocation policies with application for search. ...
We introduce a novel cost function that captures the tradeoff between allocating energy to signal regions, called regions of interest (ROI), versus exploration of other regions. ...
Section II formally states the problem and introduces our cost function. In Section III, we present optimal and suboptimal solutions for the resource allocation problem. ...
doi:10.1109/tsp.2008.929114
fatcat:ndxidkl37jfqvgtah5vsiut75i
Crown scheduling: Energy-efficient resource allocation, mapping and discrete frequency scaling for collections of malleable streaming tasks
2013
2013 23rd International Workshop on Power and Timing Modeling, Optimization and Simulation (PATMOS)
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to optimize energy efficiency given a throughput constraint. ...
In this paper we present crown scheduling, a novel technique for the combined optimization of resource allocation, mapping and discrete voltage/frequency scaling for malleable streaming task sets in order ...
ACKNOWLEDGMENT The authors thank Intel for providing the opportunity to experiment with the "concept-vehicle" many-core processor "Single-Chip Cloud Computer". C. ...
doi:10.1109/patmos.2013.6662176
dblp:conf/patmos/KesslerMEK13
fatcat:65v7yvpriffz7b6zhjhebobg2i
Free Energy and the Generalized Optimality Equations for Sequential Decision Making
[article]
2012
arXiv
pre-print
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The free energy principle therefore provides the normative basis for generalized optimality equations that account for both adversarial and stochastic environments. ...
We derive generalized sequential optimality equations that not only include the Bellman optimality equations as a limit case, but also lead to well-known decision-rules such as Expectimax, Minimax and ...
Consequently, we obtain generalized optimality equations for sequential decision-making that include the well-known Bellman optimality equation as well as Expectimax-, Minimax-and Expectiminimax-decision ...
arXiv:1205.3997v1
fatcat:rckqgnm6wvaa7p5nu7vn2pgv6y
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