0% Complete
فارسی
Home
/
چهاردهمین کنفرانس بین المللی فناوری اطلاعات و دانش
Combinatorial Auction Based on Social Choice in the Internet of Things
Authors :
Maede Esmaeili
1
Faria Nassiri-Mofakham
2
Fatemeh Hassanvand
3
1- University of Isfahan
2- University of Isfahan
3- دانشگاه اصفهان
Keywords :
Internet of Things،Combinatorial Auction،Winner Determination،Social Choice
Abstract :
The Internet of Things (IoT) enables smart Things to communicate via the Internet. Things are growing in number, and their need for multiple resources in a complementary manner engenders serious problems in resource allocation. Combinatorial Auctions (CA) are the optimal market mechanism for allocating such indivisible bundles. Since the abundance of bundles in the IoT market makes it impossible to bid on all bundles, Things express their preferences on some (and not all) bundles to make the winner determination amenable. We address the winner determination problem by proposing an allocation mechanism based on social choice methods, which operates on the number of requested resources, the number of bundles, the offered price, and the preferred weight of each bundle. These methods include Borda, Copeland, Average without Misery, Least Misery, and Hare. Finally, we demonstrate the evaluation of these methods in terms of execution time and envy-freeness among the Things.
Papers List
List of archived papers
Statistical Disorder Parameters Computing For Hyperspectral Image Anomaly Detection
Dr Maryam Imani
A Hybrid Crow Search and Penguin Optimization Algorithm (CPMM) for Efficient Cloud Workflow Scheduling
Reza Akraminejad - Farhad Kazemipour - Mozhdeh Koreh Davoodi
ارائه یک مدل تصمیم گیری چند معیاره فازی به منظور بهبود دقت فرایند تصمیم گیری به هنگام اختلال هوانوردی
فاطمه عطا عبدالرزاق - نگار مجمع
SBST challenges from the perspective of the test techniques
Sepideh Kashefi Gargari - Dr Mohammad Reza Keyvanpour
Low-Power Phase-Based Stochastic MAC for FPGA
Kooroush Manochehri - Amir arsalan Sakhtianchi - Mehrshad Khosraviani
Short-Term Traffic Flow Prediction Based on a Recurrent Deep Neural Networks: Study in Tehran
Dr Monireh عبدوس - Taha Vajed Samei
A Topic Based Method to Classify the Question Clarity in CQA Networks
Alireza Khabbazan - Dr Ahmad Ali Abin
تحویل بهینه جریان پخش زنده HTTP: یک رویکرد ترکیبی سرور- شبکه
فائزه امینی تهرانی - احمدرضا منتظرالقائم
پیدا کردن خبره در انجمنهای پرسش و پاسخ با استفاده از الگوریتم طبقهبندی ترکیبی
مهراد قاضی پور - علیرضا رضوانیان
An Improved Image Classification Based In Feature Extraction From Convolutional Neural Network: Application To Flower Classification
Faeze Sadati - Dr Behrooz Rezaie
more
Samin Hamayesh - Version 44.5.0