Remous-Aris Koutsiamanis

IMT Atlantique Rennes · Network Systems, Cyber Security and Digital Law

The increasing demand for efficient resource allocation in mobile networks has catalyzed the exploration of innovative solutions that could enhance the task of real-time cellular traffic prediction. Under these circumstances, federated learning (FL) stands out as a distributed and privacy-preserving solution to foster collaboration among different...

Mobile traffic prediction is of great importance on the path of enabling 5G mobile networks to perform smart and efficient infrastructure planning and management. However, available data are limited to base station logging information. Hence, training methods for generating high-quality predictions that can generalize to new observations on differe...

In this paper, we present and evaluate an ultra-wideband (UWB) indoor processing architecture that allows the performing of simultaneous localizations of mobile tags. This architecture relies on a network of low-power fixed anchors that provide forward-ranging measurements to a localization engine responsible for performing trilateration. The commu...

IEEE Std 802.15.4-2015 Time Slotted Channel Hopping (TSCH) is the de facto Medium Access Control (MAC) mechanism for industrial applications. It renders communications more resilient to interference by spreading them over the time (time-slotted) and the frequency (channel-hopping) domains. The 6TiSCH architecture bases itself on this new MAC layer...

The emergence of the IoT has made wireless connectivity ubiquitous and necessary. Extending the IoT to the IIoT places significant demands in terms of reliability on wireless connectivity. The Institute of Electrical and Electronics Engineers (IEEE) Std 802.15.4-2015 standard was designed in response to these demands, and the 6LoWPAN adaptation lay...

The Internet of Things (IoT) has become ubiquitous due to its flexibility, ease-of-use, and reduced cost. As a consequence, the industry is adopting these systems in its transformation into Industry 4.0. However, the strict Quality of Service (QoS) requirements of the industry are not met with the default best-effort provisions of the IoT. Most ind...

The IPv6 Routing Protocol for Low-Power and Lossy Networks (RPL) is designed for Internet of Things (IoT) applications. This Low Power and Lossy Network (LLN) protocol builds a Destination Oriented Directed Acyclic Graph (DODAG) network by transmitting DODAG Information Object (DIO) control packets. The DODAG structure created is hierarchical, wher...

IPv6 Routing Protocol for Low-Power and Lossy Networks (RPL) is a distance vector routing protocol especially designed for the Internet of Things (IoT). RPL uses broadcast DODAG Information Object (DIO) messages to build a Destination Oriented Directed Acyclic Graph (DODAG) toward a root. Each node selects a parent node toward the root using a comm...

Wireless industrial networks require reliable and deterministic communication. Determinism implies that there must be a guarantee that each data packet will be delivered within a bounded delay. Moreover, it must ensure that the potential congestion or interference will not impact the predictable properties of the network. In 2016, IEEE 802.15.4-Tim...

In this work we examine how quality of service (QoS) can be achieved in a real network by allowing packets to coordinate using fiat money in a market economy for router queue positions. In this context we implement and evaluate the PacketEconomy mechanism in the discrete-event simulator OMNET++, using the standard INET library for simulating Intern...

The Internet is today an inextricable part of daily personal, educational and business activity, turning any problems in its operation or availability into a significant interruption of these activities and their users. The resources offered by the Internet (capacity, coverage) are continuously increasing but at the same time the users and their de...

This application paper presents myVisitPlanner GR, an intelligent web-based system aiming at making recommendations that help visitors and residents of the region of Northern Greece to plan their leisure, cultural and other activities during their stay in this area. The system encompasses a rich ontology of activities, categorized across dimensions...

Spam over Internet Telephony SPIT is a potential source of disruption in Voice over IP VoIP systems. The use of anti-SPIT mechanisms, such as filters and audio CAPTCHA Completely Automated Public Turing Test to Tell Computer and Humans Apart can prevent unsolicited calls and lead to less unwanted traffic. In this paper, we present a game-theoretic...

In this work, we apply a common economic tool, namely money, to coordinate network packets. In particular, we present a network economy, called PacketEconomy, where each flow is modeled as a population of rational network packets, and these packets can self-regulate their access to network resources by mutually trading their positions in router que...

Portable devices are increasingly employed in a wide range of mobile guidance applications. Typical examples are guides in urban areas, museum guides, and exhibition space aids. The demand is for the delivery of context-specific services, wherein the context is typically identified by a combination of data related to location, time, user profile, d...

In this work we address the problem of identifying and limiting the heaviest hitters in a sliding-window data stream. We propose the first, to our knowledge, exact (i.e., not approximate) algorithm which achieves O(1) with high probability time complexity in both update and query operations. Additionally, it tracks the first and last item of any it...

In this work, we apply a common economic tool, namely money, to coordinate network packets. In particular, we present a network economy, called PacketEconomy, where each flow is modeled as a population of rational network packets, and these packets can self-regulate their access to network resources by mutually trading their positions in router que...

In this paper we suggest an approach for developing programmable intelligent virtual agents over Unreal. We propose various techniques for manipulating creating and modifying Unreal Engine's actors, as well as a method for developing an additional external controller responsible for intelligent decision making by creating programmable agents.

In this work we focus on the problem of finding the heaviest-k and lightest-k hitters in a sliding window data stream. The most recent research endeavours have yielded an epsilon-approximate algorithm with update operations in constant time with high probability and O(1/epsilon) query time for the heaviest hitters case. We propose a novel algorithm...

In this paper we suggest an approach for developing a network based system for hosting intelligent virtual environments. We briefly introduce the notion of intelligent virtual environments and agents and present the advantages and drawbacks of their network variant. We demonstrate an architecture and topology for a network based approach and demons...