Decision support system for fleet management based on TETRA terminals geolocation

Polo, Alessandro; Robol, Fabrizio; Nardin, Chiara; Marchesi, Serena; Zorer, Alessandro; Zappini, L.; Viani, Federico; Massa, Andrea

doi:10.1109/eucap.2014.6901987

Cited by 16 publications

(6 citation statements)

References 9 publications

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“…p51; :::; P: (5) It has to be noticed that once the Nash equilibrium is reached, the peak-to-average ratio (PAR) [10] PAR t ð Þ5…”

Section: The Rewardmentioning

confidence: 99%

“…In this letter, a centralized decision support system (DSS) [5] aimed at suggesting virtuous behaviors to the end users of a smart grid network is proposed to optimize the energy usage from both the end user's viewpoint and the overall power grid. More in detail, the proposed solution exploits a game theory (GT)-based approach to optimize the user's load profiles for minimizing the peak loads and, consequently, reducing the costs of the energy.…”

Section: Introductionmentioning

confidence: 99%

“…The 3-dB AR beamwidth is around 1008 with gain more than 6.0 dBic across the desired band. Recently, the wireless power transfer and RF energy harvesting systems have received much attention especially in the RF and antenna engineering [1][2][3][4][5]. The accessible RF energy can be any direction and polarization.…”

mentioning

confidence: 99%

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Alignment and Position Sensors Based on Split Ring Resonators

Naqui

Durán‐Sindreu

Martín

2012

Sensors

148

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In this paper compact alignment and position sensors based on coplanar waveguide (CPW) transmission lines loaded with split ring resonators (SRRs) are proposed. The structure consists of a folded CPW loaded with two SRRs tuned at different frequencies to detect both the lack of alignment and the two-dimensional linear displacement magnitude. Two additional resonators (also tuned at different frequencies) are used to detect the displacement direction. The working principle for this type of sensor is explained in detail, and a prototype device to illustrate the potential of the approach has been designed and fabricated.

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“…p51; :::; P: (5) It has to be noticed that once the Nash equilibrium is reached, the peak-to-average ratio (PAR) [10] PAR t ð Þ5…”

Section: The Rewardmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Alignment and Position Sensors Based on Split Ring Resonators

Naqui

Durán‐Sindreu

Martín

2012

Sensors

148

View full text Add to dashboard Cite

show abstract

“…With advances in computer and information technologies, these systems have changed into computerized systems, which improve the activity of decision-makers situated on different levels in the command chain. Modern DSS have benefit from the new communication, sensing, and positioning technologies which provide real-time awareness to the situation room and support the decision making process in complex and dynamic emergency situations [4]. Let us consider a very common decision-making problem: the resource allocation.…”

Section: Introductionmentioning

confidence: 99%

Evolutionary optimization strategies applied to wireless fleet management in emergency scenarios

Zappini¹,

Marchesi²,

Polo³

et al. 2015

2015 IEEE 15th Mediterranean Microwave Symposium (MMS)

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In this paper, the use of evolutionary metaheuristic for the management of emergency rescue operations applied to real-word scenarios is analyzed. The problem of selecting the best candidate assets for a given emergency event is addressed. While the problem of deploying one single resource is trivial, its complexity grows when considering more assets to be deployed at the same time. Two objective functions (utility and cost) have been defined and are estimated against features of candidate assets and input event. The full Pareto front of estimated solutions is presented to operators through an interactive tool for supporting the decision making process. The prototype is under validation at the headquarter of the Centrale Unica Emergenza (CUE) of Trento, Italy.Keywords-decision support system; wireless emergency management; multi-objective evolutionary metaheuristic; Global Positioning System; Terrestrial Trunked Radio (TETRA).

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“…In this letter, a centralized decision support system (DSS) aimed at suggesting virtuous behaviors to the end users of a smart grid network is proposed to optimize the energy usage from both the end user's viewpoint and the overall power grid. More in detail, the proposed solution exploits a game theory (GT)‐based approach to optimize the user's load profiles for minimizing the peak loads and, consequently, reducing the costs of the energy.…”

Section: Introductionmentioning

confidence: 99%

A decision support system based on wireless power metering for energy saving in smart buildings

Viani

2015

Micro & Optical Tech Letters

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Energy saving in smart buildings is addressed through an innovative approach based on game theory (GT). Starting from the measurement of the users’ consumptions performed with wireless smart meters interconnected to the appliances, the collected data are processed by a control unit to evaluate the optimal load profiles and to suggest to the users the most convenient schedule of appliances. This is yielded by mathematically solving a multiplayer game throughout GT principles. The objective is that of reaching the Nash equilibrium in which all the players are not interested in changing their situation/status (i.e., the appliance scheduling) as every deviation would be suboptimal. Results from numerical simulations are reported to assess the performance of the proposed GT‐based method, while preliminary experimental tests are performed to show the potentialities of the system in real conditions. © 2015 Wiley Periodicals, Inc. Microwave Opt Technol Lett 57:2750–2752, 2015

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Decision support system for fleet management based on TETRA terminals geolocation

Cited by 16 publications

References 9 publications

Alignment and Position Sensors Based on Split Ring Resonators

Alignment and Position Sensors Based on Split Ring Resonators

Evolutionary optimization strategies applied to wireless fleet management in emergency scenarios

A decision support system based on wireless power metering for energy saving in smart buildings

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