Decentralized Constraint Optimization in Composite Observation Task Allocation to Mobile Sensor Agents

2020 ◽  
pp. 171-187
Author(s):  
Toshihiro Matsui
Keyword(s):  
Task Allocation ◽  
Constraint Optimization ◽  
Mobile Sensor

Distributed constraint optimization for continuous mobile sensor coordination

2018 ◽  
Author(s):  
Jeroen Fransmana ◽  
Joris Sijs ◽  
Henry Dolb ◽  
Erik Theunissenc ◽  
Bart De Schuttera
Keyword(s):  
Constraint Optimization ◽  
Mobile Sensor ◽  
Distributed Constraint Optimization

Control of Mobile Sensor Networks: A State-of-the-Art Review

2008 ◽  
Author(s):  
J. Karl Hedrick ◽  
Brandon Basso ◽  
Joshua Love ◽  
Anouck R. Girard ◽  
Andrew T. Klesh
Keyword(s):  
Sensor Networks ◽  
Motion Control ◽  
Task Allocation ◽  
Autonomous Vehicles ◽  
State Of The Art ◽  
Network Connectivity ◽  
Mobile Sensor Networks ◽  
Mobile Sensor ◽  
Broad Area ◽  
Communication Devices

This paper presents a state-of-the-art survey in the broad area of Mobile Sensor Networks (MSNs). There is currently a great deal of interest in having autonomous vehicles carrying sensors and communication devices that can conduct ISR (intelligence, surveillance and reconnaissance) operations. Although this paper will discuss issues common to mobile sensor networks, the applications will generally be associated with autonomous vehicles. Areas that are addressed are: 1. Mission definition languages that allow the human to compose a mission defined in terms of tasks; 2. Communication issues including hardware, software, and network connectivity; 3. Task allocation among the assets generally by a market-based approach; 4. Path planning for individual agents; and 5. Platform motion control using autopilots with and without GPS signals and including collision avoidance.

scholarly journals Distributed Constraint Optimization for Task Allocation in Self-Adaptive Manufacturing Systems

2021 ◽  
Author(s):  
Joseph Hirsch ◽  
Martin Neumayer ◽  
Hella Ponsar ◽  
Oliver Kosak ◽  
Wolfgang Reif
Keyword(s):  
Task Allocation ◽  
Manufacturing Systems ◽  
Constraint Optimization ◽  
Distributed Constraint Optimization ◽  
Self Adaptive

scholarly journals Solving “Limited” Task Allocation Problem for UAVs Based on Optimization Algorithms

2021 ◽  
Vol 2021 ◽  
pp. 1-14
Author(s):  
Xiaopan Zhang ◽  
Xingjun Chen
Keyword(s):  
Evolutionary Algorithm ◽  
Task Allocation ◽  
Rapid Development ◽  
Pso Algorithm ◽  
Constraint Optimization ◽  
Allocation Scheme ◽  
Experimental Part ◽  
Multiobjective Problems ◽  
Allocation Process ◽  
Or Task

With the rapid development of science and technology, unmanned technology has been widely used in many fields. One of the most important applications is in the field of civil and military UAVs. In the field of military UAVs (unmanned aerial vehicles), UAVs usually have to complete a series of tasks. In this series of tasks, there are often some key tasks. Key tasks play an important role, which is highly related to the feasibility of the whole action or task; mission failure sometimes causes incalculable damage. When assigning tasks to UAVs, it is necessary to ensure the accurate implementation of key tasks, so as to ensure the orderly implementation of the overall task. This paper not only successfully solved the previous problems but also comprehensively considered the minimization of resource consumption and the maximization of task revenue in the process of UAV task allocation. On the basis of considering the key system, considering the constraints and multiobjective problems in the UAV task allocation process, the violence allocation algorithm, constraint optimization evolutionary algorithm, PSO algorithm, and greedy algorithm combined with a constraint evolutionary algorithm are improved and optimized; it has been proven that they can solve the above difficulties. At the same time, several comparison experiments have been carried out; the performance and conclusion of the above four algorithms in the “limited” UAV task allocation scheme are analyzed in the experimental part.

Mobility Support in IEEE 802.15.4 Based Mobile Sensor Network

2014 ◽  
Vol E97.B (3) ◽  
pp. 555-563 ◽  
Author(s):  
Pranesh STHAPIT ◽  
Jae-Young PYUN
Keyword(s):  
Sensor Network ◽  
Ieee 802.15.4 ◽  
Mobile Sensor ◽  
Mobile Sensor Network ◽  
Mobility Support
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