15 papers · ranked by Valyu relevance
Waseem Abbass, Riaz Hussain, Jaroslav Frnda, Nasim Abbas + 8 more
'Muhammad Awais Javed' 'Shahzad A. Malik' 'Abbass Nasser' 'Christophe Moy' 'Ali Mansour' 'Hadi Aggoune' 'Mohammad Ayaz' 'Koffi Yao'] The paradigm of dynamic shared access aims to provide flexible spectrum usage. Recently, Federal Communications Commission (FCC) has proposed a new dynamic spectrum management framework…
Simon Hunt, Qinggang Meng, Chris Hinde, Tingwen Huang
This paper looks at consensus algorithms for agent cooperation with unmanned aerial vehicles. The foundation is the consensus-based bundle algorithm, which is extended to allow multi-agent tasks requiring agents to cooperate in completing individual tasks. Inspiration is taken from the cognitive behaviours of eusocial…
Maqbool Ahmad, Muhammad Shafiq, Azeem Irshad, Muhammad Khalil Afzal + 2 more
'Dae Wan Kim' 'Jin-Ghoo Choi'] Auction theory has found vital application in cognitive radio to relieve spectrum scarcity by redistributing idle channels to those who value them most. However, countries have been slow to introduce spectrum auctions in the secondary market. This could be in part because a number of…
Devarani Devi Ningombam, Seokjoo Shin
In the last few years, multicast device-to-device (D2D) cellular networks has become a highly attractive area of research. However, a particularly challenging class of issues in this area is data traffic, which increases due to increase in video and audio streaming applications. Therefore, there is need for smart…
Amin Nezarat, GH Dastghaibifard, Cheng-Yi Xia
One of the most complex issues in the cloud computing environment is the problem of resource allocation so that, on one hand, the cloud provider expects the most profitability and, on the other hand, users also expect to have the best resources at their disposal considering the budget constraints and time. In most…
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…
Da Ke, Xianhua Fan, Muhammad Asif, Muhammad Aleem
This article addresses the problem of interval pricing for auction items by constructing an auction item price prediction model based on an adaptive learning algorithm. Firstly, considering the confusing class characteristics of auction item prices, a dynamic inter-class distance adaptive learning model is developed to…
Ian Gemp, Thomas Anthony, Janos Kramar, Tom Eccles + 2 more
'Andrea Tacchetti' 'Yoram Bachrach'] We propose a multi-agent learning approach for designing crowdsourcing contests and All-Pay auctions. Prizes in contests incentivise contestants to expend effort on their entries, with different prize allocations resulting in different incentives and bidding behaviors. In contrast…
Jae-Bong Yi, Shady Nasrat, Dongwoon Song, Joonyoung Kim + 2 more
This paper presents a system in which mobile manipulators and transport agents cooperate to solve a multi-agent pickup and delivery (MAPD) problem. The primary objective is to allocate appropriate tasks to heterogeneous robots by considering their capabilities and states. Unlike previous studies that focused on…
Ying Hu, Yingjie Wang, Yingshu Li, Xiangrong Tong
In order to avoid malicious competition and select high quality crowd workers to improve the utility of crowdsourcing system, this paper proposes an incentive mechanism based on the combination of reverse auction and multi-attribute auction in mobile crowdsourcing. The proposed online incentive mechanism includes two…
Bizzat Hussain Zaidi, Ihsan Ullah, Musharraf Alam, Bamidele Adebisi + 4 more
'Atif Azad' 'Ali Raza Ansari' 'Raheel Nawaz' 'Haris Pervaiz'] This paper presents a novel incentive-based load shedding management scheme within a microgrid environment equipped with the required IoT infrastructure. The proposed mechanism works on the principles of reverse combinatorial auction. We consider a region of…
Geng Chen, Lili Cheng, Xiaoxian Kong, Qingtian Zeng + 1 more
Due to buildings blocking GPS and Wi-Fi signals, traditional techniques can’t offer the user’s required positioning accuracy in resource-constrained underground parking, but the cooperation of agent nodes can provide the exact localization information to improve the positioning accuracy. However, some well-localized…
Xi Tao, Wei Song
Mobile crowdsensing (MCS) is a promising paradigm for large-scale sensing. A group of users are recruited as workers to accomplish various sensing tasks and provide data to the platform and requesters. A key problem in MCS is to design the incentive mechanism, which can attract enough workers to participate in sensing…
Cancan Zhou, Hongguang Dong, Rui Hu, Qinghua Chen + 1 more
Research concerning various types of auctions, such as English auctions, Dutch auctions, highest-price sealed-bid auctions, and second-price sealed-bid auctions, is always a topic of considerable interest in interdisciplinary fields. The type of auction, known as a lowest unique bid auction (LUBA), has also attracted…
Mingyuan Zhang, Shiyong Chen, Zihao Wei, Yucheng Wu + 4 more
'Teen-Hang Meen' 'Charles Tijus' 'Po-Lei Lee'] Mobile crowdsensing (MCS) has been an emerging sensing paradigm in recent years, which uses a sensing platform for real-time processing to support various services for the Internet of Things (IoT) and promote the development of IoT. As an important component of MCS, how to…