International Conference on Information and Knowledge Technology

فارسی

Home / چهاردهمین کنفرانس بین المللی فناوری اطلاعات و دانش

Combinatorial Auction Based on Social Choice in the Internet of Things

Authors :

Maede Esmaeili¹ Faria Nassiri-Mofakham² Fatemeh Hassanvand³

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.

List of archived papers

A clonal selection mechanism for load balancing in the cloud computing system

Melika Mosayyebi - Reza Azmi

یک روش انتخاب ویژگی‌ نیمه‌نظارتی جدید بر اساس منظم‌سازی هسین

دکتر راضیه شیخ پور راضیه شیخ پور -

پیش‌بینی میزان بقای بیماران مبتلا به سرطان ریه با استفاده از ترکیب کارآمد روش‌های داده‌کاوی و بهینه‌سازی رقابت استعماری

رخشان رمضانی سرچشمه - مهدی هاشم‌زاده - امین گلزاری اسکوئی

A Survey on Utilizing Reinforcement Learning in Wireless Sensor Networks Routing Protocols

Ali Forghani Elah Abadi - Seyedeh Elham Asghari - Sepideh Sharifani - Seyyed Amir Asghari - Mohammadreza Binesh Marvasti

چارچوب پیش‌بینی خرابی تطبیقی مبتنی بر شبکه عصبی گراف پویا و GRU در سامانه‌های صنعتی IIoT

رسول اسماعیلی فرد - لیلا رنجبر

Architectural Insights: Comparing Weight Stationary and Output Stationary Systolic Arrays for Efficient Computation

Mahdi Kalbasi

Load Balancing in Software-Defined Networks Using Multi-Level Thresholds and Hybrid Switch Migration Strategies

Alireza Karimi - Mohammad yousef Darmani

ارائه تکنیک یادگیری چندهسته ای مبتنی بر روش بهینه سازی برای مسئله دسته بندی سیگنال های EEG مبتنی بر تصور حرکتی

یوکابد امیری - حسام عمرانپور

Improving Long-Term Engagement of Insurance Brokerages by Providing Gamified Configurations Based on The Delphi Method

Hosein Bayati - Fattaneh Taghiyareh - Sahand Hashemi

Aligning the Brick and Mortar cosmetic with digital transformation as the right way to overhaul the In-store Experience

Mehrgan Malekpour - Dr Federica Caboni

more

Samin Hamayesh - Version 42.5.2