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Implementation and Simulation of a M...

Ackels, Sean.

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Implementation and Simulation of a Mobile Sensor Network Using Lambda Architecture.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Implementation and Simulation of a Mobile Sensor Network Using Lambda Architecture./
Author:	Ackels, Sean.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2020,
Description:	67 p.
Notes:	Source: Masters Abstracts International, Volume: 82-01.
Contained By:	Masters Abstracts International82-01.
Subject:	Electrical engineering. -
Online resource:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=27994560
ISBN:	9781083658944

Implementation and Simulation of a Mobile Sensor Network Using Lambda Architecture.
Ackels, Sean.

Implementation and Simulation of a Mobile Sensor Network Using Lambda Architecture. - Ann Arbor : ProQuest Dissertations & Theses, 2020 - 67 p.

Source: Masters Abstracts International, Volume: 82-01.

Thesis (M.S.)--The University of Texas at San Antonio, 2020.

This item must not be sold to any third party vendors.

The field of swarm robotics has continued to grow in recent years, branching into new fields that require more complex algorithms and faster response times to control. One example of these new fields is the mobile sensor network; a swarm where each agent acts as a sensor and is able to optimize it's abilities by moving the sensors. This thesis proposes an algorithm in order to control a mobile sensor network through the use of cloud computing and the Lambda architecture. The paper formulates the different components to such an algorithm, then simulates the algorithm in a Gazebo simulation. Different cloud architectures are compared in simulation in order to assess the optimal one for this application. Finally, data reduction techniques are applied in order to enhance the capabilities of the algorithm through the use of a formulated optimization problem and simulated annealing.

ISBN: 9781083658944Subjects--Topical Terms:

649834
Electrical engineering.
Subjects--Index Terms:

Cloud Computing

Implementation and Simulation of a Mobile Sensor Network Using Lambda Architecture.
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245 1 0 $a Implementation and Simulation of a Mobile Sensor Network Using Lambda Architecture.
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300 $a 67 p.
500 $a Source: Masters Abstracts International, Volume: 82-01.
500 $a Advisor: Jamshidi, Mo.
502 $a Thesis (M.S.)--The University of Texas at San Antonio, 2020.
506 $a This item must not be sold to any third party vendors.
520 $a The field of swarm robotics has continued to grow in recent years, branching into new fields that require more complex algorithms and faster response times to control. One example of these new fields is the mobile sensor network; a swarm where each agent acts as a sensor and is able to optimize it's abilities by moving the sensors. This thesis proposes an algorithm in order to control a mobile sensor network through the use of cloud computing and the Lambda architecture. The paper formulates the different components to such an algorithm, then simulates the algorithm in a Gazebo simulation. Different cloud architectures are compared in simulation in order to assess the optimal one for this application. Finally, data reduction techniques are applied in order to enhance the capabilities of the algorithm through the use of a formulated optimization problem and simulated annealing.
590 $a School code: 1283.
650 4 $a Electrical engineering. $3 649834
650 4 $a Artificial intelligence. $3 516317
650 4 $a Robotics. $3 519753
653 $a Cloud Computing
653 $a Consensus Control
653 $a Data Reduction
653 $a Lambda Architecture
653 $a Simulated Annealing
653 $a Swarm Robotics
690 $a 0544
690 $a 0800
690 $a 0771
710 2 $a The University of Texas at San Antonio. $b Electrical & Computer Engineering. $3 1018585
773 0 $t Masters Abstracts International $g 82-01.
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793 $a English
856 4 0 $u https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=27994560