MHO-GVRP-IoT’2022 is a special session of CODIT : 8th International Conference on Control, Decision and Information Technologies

(Special Session Code: CoDITSS09)

https://codit2022.com/

Extended Submission Deadline : 25 February 2022

Call for papers

This special session deals with optimization problems in Internet of Things (IoT) applications with an emphasis on the Green Vehicle Routing problem. With the exponential growth in connected objects’ number and the generated amount of data and traffic, solving different kind of problems in Internet of Things (IoT) is becoming more and more complex. The use of approximate optimization methods and Artificial intelligence is an efficient approach to tackle this issue. For instance, Vehicle Routing Problem under environmental concerns is considered in many IoT use cases such as in transportation systems, waste management, and disaster management or supply chain applications. It is known that the transportation sector is one of the largest energy consumer sectors and thus a big transmitter of carbon and greenhouse gas, causing dangerous environmental effects. In the last decades, many efforts were made to reduce these environmental threats. In this regard, the Green vehicle routing problem (GVRP) has emerged to optimize distribution strategies taking into account both economic costs and the environmental effects.

The goal of this special session is to discuss models and techniques for optimizing GVRP and different aspects of IoT. In particular, the use of GVRP problem to model specific IoT use cases will be considered. Networking problems, data analysis and treatment problems, security problems and special uses cases applications of IoT such as smart cities, ITS, e-health, Smart grid, Industry 4.0, etc., will be also treated.

The topics of interest include, but are not limited to:

• Heuristics and Metaheuristics for solving Green Vehicle Routing problems

• Multi-objective Optimization for Green Vehicle Routing problem

• Heuristics and Metaheuristics for modelling and solving IoT problems

• Green Vehicle Routing problem in IoT use cases

• Optimization techniques for IoT problems solving

• Multi-attribute decision making (MADM) and multiple objective decision making (MODM) approaches applied to IoT use cases

• Optimization problems in Big data

• Optimization problems in IoT networking

• Optimization problems in IoT security Optimization problems in cloud, fog and Edge

• Optimization problems in IoT applications: Smart cities, IoV, e-health, Industry 4.0, Smart Grid, etc.

Committee

Chairs

• DalilaTAYACHI, Ecole Supérieure de Commerce de Tunis, University of Manouba, Tunisia

(email : dalila.tayachi@esct.uma.tn)

• Hanen IDOUDI, National School of Computer Science, University of Manouba, Tunisia

(email : hanen.idoudi@ensi-uma.tn)

Technical Program Committee

Abderrazek Jemai, University of Carthage, Tunisia

Ahmed Harbouche, University Hassiba Benbouali de Chlef, Algeria

Brahim Mefgouda, ENSI-University of Manouba, Tunisia

Haifa Touati, University of Gabes, Tunisia

Hassene Seddik, ENSIT-University of Tunis, Tunisia

Hend Fourati, ESPRIT, Tunisia

Jalel Ben Othman, University of Paris 13, France

Khadija BOUSSELMI ARFAOUI, University of Savoie Mont Blanc, France

Mohammed-Amine Koulali, Ecole Nationale des Sciences Appliquées Oujda, Morocco

Mohamed Mosbah, University of Bordeaux, France

Nourhene Ben Rabah, ESIEE-IT-CRI, University of Paris 1 Panthéon-Sorbonne, France

Ouajdi Korbaa, University of Sousse, Tunisia

Rafik Braham, University of Sousse, Tunisia

Souhail Dhouib, University of Sfax, Tunisia

Stéphane Perrin, University of Savoie Mont Blanc, France

Taicir Loukil, University of Sfax, Tunisia

Thierry Val, University of Toulouse-Jean Jaurès, France

Wassim Trojet, ESIGELEC-University of Rouen, France

Wided Chaari, ENSI-University of Manouba, Tunisia

(To be completed)

Organizers

ESCT, University of Manouba, Tunisia

RIADI Laboratory, ENSI, University of Manouba, Tunisia