scholarly journals A Task Allocation Algorithm with Weighted Average Velocity Based on Online Active Period

2017 ◽  
Keyword(s):  
Task Allocation ◽  
Average Velocity ◽  
Weighted Average ◽  
Active Period ◽  
Allocation Algorithm

Bee-inspired task allocation algorithm for multi-UAV search and rescue missions

2020 ◽  
Vol 16 (4) ◽  
pp. 252
Author(s):  
Heba Kurdi ◽  
Shiroq Al Megren ◽  
Ebtesam Aloboud ◽  
Abeer Ali Alnuaim ◽  
Hessah Alomair ◽  
...  
Keyword(s):  
Task Allocation ◽  
Search And Rescue ◽  
Allocation Algorithm ◽  
Multi Uav

A Novel Multi-robot Task Allocation Algorithm under Heterogeneous Capabilities Condition

2014 ◽  
Vol 13 (8) ◽  
pp. 1514-1522
Author(s):  
Yuan Quande ◽  
Hong Bingrong ◽  
Guan Yi ◽  
Piao Songhao ◽  
Cai Zesu
Keyword(s):  
Task Allocation ◽  
Allocation Algorithm ◽  
Robot Task ◽  
Multi Robot

Research on Optimized Online Allocation of Scope Spatial Crowdsourcing Tasks

2020 ◽  
Vol 29 (03) ◽  
pp. 2050003
Author(s):  
Liping Gao ◽  
Kun Dai ◽  
Chao Lu
Keyword(s):  
Greedy Algorithm ◽  
Task Allocation ◽  
Specific Task ◽  
Spatial Crowdsourcing ◽  
Two Phase ◽  
Allocation Algorithm ◽  
Sensing Data ◽  
Important Branch ◽  
The Greedy Algorithm

Task allocation of spatial crowdsourcing tasks is an important branch of crowdsourcing. Spatial crowdsourcing tasks not only require workers to complete a specific task at a specified time, but also require users to go to the designated location to complete the corresponding tasks. In this paper, Scope spatial crowdsourcing task whose work position is a region rather than a location is a kind of spatial crowdsourcing task. Mobile crowdsourced sensing (MCS) is one of the most important platforms to publish spatial crowdsourcing tasks, based on which MCS workers can use smartphones to complete the collections of related sensing data. When assigning tasks for scoped crowdsourcing tasks, there is a scope overlap between tasks and one or more tasks due to the association of task scope between tasks, which causes a waste of manpower. The focus of this paper is to study the redundancy of the task scope that occurs when using MCS to collect scoping data in the case of fewer workers and more tasks. Optimizing scope spatial crowdsourcing tasks allocation algorithm (OSSA) can eliminate the redundancy of the task area by integrating and decomposing tasks and achieve the improvement of the assignable number of tasks. In the Windows platform, experiments are made to compare the efficiency of the OSSA algorithm with the greedy algorithm and the two-phase-based global online allocation (TGOA) algorithm to further prove the correctness and feasibility of the algorithm for task scope optimization.

scholarly journals Software Crowdsourcing Task Allocation Algorithm Based on Dynamic Utility

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 33094-33106 ◽  
Author(s):  
Dunhui Yu ◽  
Yi Wang ◽  
Zhuang Zhou
Keyword(s):  
Task Allocation ◽  
Allocation Algorithm
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