16 papers · ranked by Valyu relevance
Nayyer Fazal, Muhammad Tahir Khan, Shahzad Anwar, Javaid Iqbal + 2 more
'Shahbaz Khan' 'Mohd Nadhir Ab Wahab'] Task allocation is a fundamental requirement for multi-robot systems working in dynamic environments. An efficient task allocation algorithm allows the robots to adjust their behavior in response to environmental changes such as fault occurrences, or other robots’ actions to…
Qingwen Li, Tang Wai Fan, Lam Sui Kei, Zhaobin Li + 1 more
'Zeashan Hameed Khan'] Industry 4.0 has transformed manufacturing with the integration of cutting-edge technology, posing crucial issues in the efficient task assignment to multi-tasking robots within smart factories. The paper outlines a unique method of decentralizing auctions to handle basic tasks. It also…
Yukiko Katayama, Takuji Tachibana, Jihoon Lee, Daeyoub Kim + 1 more
'Wonjong Noh'] For 5G and future Internet, in this paper, we propose a task allocation method for future Internet application to reduce the total latency in a mobile edge computing (MEC) platform with three types of servers: a dedicated MEC server, a shared MEC server, and a cloud server. For this platform, we first…
Helen Harman, Elizabeth I. Sklar
Multi-agent task allocation methods seek to distribute a set of tasks fairly amongst a set of agents. In real-world settings, such as soft fruit farms, human labourers undertake harvesting tasks. The harvesting workforce is typically organised by farm manager(s) who assign workers to the fields that are ready to be…
Shahad Alqefari, Mohamed El Bachir Menai, Fernando José Aguilar
In the rapidly evolving field of aerial robotics, the coordinated management of multiple unmanned aerial vehicle (multi-UAV) systems to address complex and dynamic environments is increasingly critical. Multi-UAV systems promise enhanced efficiency and effectiveness in various applications, from disaster response to…
Luis Ortiz, Ana Guasque, Patricia Balbastre, José Simó + 1 more
'Chan Hwang See'] Multicore systems introduced a performance increase over previous monocore systems. As these systems are increasingly finding application in critical domains, it arises a necessity to develop novel methodologies for their efficient resource allocation. In addition, it is particularly important to…
Maite Puerta-Beldarrain, Oihane Gómez-Carmona, Liming Chen, Diego López-de-Ipiña + 3 more
'Diego López-de-Ipiña' 'Diego Casado-Mansilla' 'Felipe Vergara-Borge' 'Antonio J. Jara'] This work addresses the task allocation problem in spatial crowdsensing with altruistic participation, tackling challenges like declining engagement and user fatigue from task overload. Unlike typical models relying on financial…
Prasanta Kumar Bal, Sudhir Kumar Mohapatra, Tapan Kumar Das, Kathiravan Srinivasan + 3 more
'Kathiravan Srinivasan' 'Yuh-Chung Hu' 'Robert Hsu' 'Naveen Chilamkurti'] The rapid growth of cloud computing environment with many clients ranging from personal users to big corporate or business houses has become a challenge for cloud organizations to handle the massive volume of data and various resources in the…
WeiWei Du, XiaoWei Chen
As task diversity and inter-task relationship complexity grow, optimal formation power allocation is key to improving task execution efficiency. This paper proposes a task optimization allocation method with multiple groups collaboration, constructing a task network based on analysis of task static characteristics and…
Dominik Weikert, Christoph Steup, Sanaz Mostaghim, Raffaele Bruno
The Internet of Things (IoT) has been an area of growing research interest for decades. Task allocation is an important problem for the optimized operation of Internet-of-Things networks. This paper provides an overview of recent research in the field of Internet-of-Things task allocation optimization. First, the task…
Xiaoxue He, Yubo Wang, Xu Zhao, Tiancong Huang + 2 more
'Sergio Toral Marín'] Participatory crowdsensing (PCS) is an innovative data sensing paradigm that leverages the sensors carried in mobile devices to collect large-scale environmental information and personal behavioral data with the user’s participation. In PCS, task assignment and path planning pose complex…
Sujay N. Hegde, D. B. Srinivas, M. A. Rajan, Sita Rani + 2 more
'Aman Kataria' 'Hong Min'] Grid computing emerged as a powerful computing domain for running large-scale parallel applications. Scheduling computationally intensive parallel applications such as scientific, commercial etc., computational grids is a NP-complete problem. Many researchers have proposed several task…
Jiankang Ren, Jun Zhang, Xu Li, Wei Cao + 4 more
'Chengzhang Song' 'Chase Wu'] The adoption of multiprocessor platforms is growing commonplace in Internet of Things (IoT) applications to handle large volumes of sensor data while maintaining real-time performance at a reasonable cost and with low power consumption. Partitioned scheduling is a competitive approach to…
Hyeseon Lee, Jungyun Bae, Abhishek Patil, Myoungkuk Park + 4 more
Multi-agent coordination with task allocation, routing, and scheduling presents critical challenges when deploying heterogeneous robotic systems in constrained agricultural environments. These systems involve real-time sensing during their operations with various sensors, and having quick updates on coordination based…
Devesh Kumar Srivastava, Pradeep Kumar Tiwari, Mayank Srivastava, Babu R. Dawadi
'Babu R. Dawadi'] One of the important and challenging tasks in cloud computing is to obtain the usefulness of cloud by implementing several specifications for our needs, to meet the present growing demands, and to minimize energy consumption as much as possible and ensure proper utilization of computing resources. An…
Ambika Aggarwal, Sunil Kumar, Ashutosh Bhatt, Mohd Asif Shah
Cloud computing is a procedure of stockpiling as well as retrieval of data or computer services over the Internet that allows all its users to remotely access the data centers. Cloud computing provides all required services to the users, but every platform has its share of pros and cons, and another major problem in…