D2D MULTI-OBJECTIVE ROUTE OPTIMIZATION IN MANET ENVIRONMENT

D2D MULTI-OBJECTIVE ROUTE OPTIMIZATION IN MANET ENVIRONMENT

Over the past decades, wireless networks and devices have experienced intensive growth.Route discovery and selection from Mini Helmet device to device (D2D) that are randomly distributed came across services trade-offs.This paper presents an optimal routing technique for the MANET environment-based D2D network.The optimization method considers the

read more


3rd ICTs and Society Meeting; Paper Session - Inequalities: social, economic, political; Paper 1: Information Society Policies 2.0. A Critical Analysis of the Potential and Pit-falls of Social Computing & Informatics in the Light of E-inclusion

In this paper we reflect on how research and policies can and/or GENTLE FACE CLEANSER should help in the development of a sustainable information society for all.More specifically, we critically investigate how social computing & informatics can entail both potential and pitfalls, especially with regard to the difficult relationship between digital

read more

A framework for predicting odor threshold values of perfumes by scientific machine learning and transfer learning

Knowledge of odor thresholds is very important for the perfume industry.Due to the difficulty associated with measuring odor thresholds, empirical models capable of estimating these values can be an invaluable contribution to the field.This work developed a framework based on scientific machine learning strategies.A transfer learning-based strategy

read more

Spite and Reciprocity in Auctions

The paper presents a complete information model of bidding in SHARK LIVER OIL second price sealed-bid and ascending-bid (English) auctions, in which potential buyers know the unit valuation of other bidders and may spitefully prefer that their rivals earn a lower surplus.Bidders with spiteful preferences should overbid in equilibrium when they know

read more