Mulsemedia—multiple sensorial media—makes possible the inclusion of layered sensory stimulation and interaction through multiple sensory channels. The recent upsurge in technology and wearables provides mulsemedia researchers a vehicle for potentially boundless choice. However, in order to build systems that integrate various senses, there are still some issues that need to be addressed. This review deals with mulsemedia topics that remain insufficiently explored by previous work, with a focus on the multi-multi (multiple media-multiple senses) perspective, where multiple types of media engage multiple senses. Moreover, it addresses the evolution of previously identified challenges in this area and formulates new exploration directions.

In recent years, the emerging immersive technologies (e.g. Virtual/Augmented Reality, multisensorial media) bring brand-new multi-dimensional e ects such as 3D vision, immersion, vibration, smell, air ow, etc. to gaming, video entertainment and other aspects of human life. is paper reports results from an European Horizon 2020 research project on the impact of multisensoral media (mulsemedia) on educational learner experience. A mulsemediaenhanced test-bed was developed to perform delivery of video content enhanced with haptic, olfaction and air ow e ects. e results of the quality rating and questionnaires show signi cant improvements in terms of mulsemedia-enhanced teaching.

Abstract-Rapid increase in number of vehicles on the roads as well as growing size of cities have led to a plethora of challenges for road traffic management authorities such as traffic congestion, accidents and air pollution. The work presented in this paper focuses on the particular problem of traffic management for emergency services, for which a delay of few minutes may cause human lives risks as well as financial losses. The goal is to reduce the latency of emergency services for vehicles such as ambulances and police cars, with minimum unnecessary disruption to the regular traffic, and preventing potential misuses. To this end, we propose to design a framework in which the Traffic Management System (TMS) may adapt by dynamically adjusting traffic lights, changing related driving policies, recommending behavior change to drivers, and applying essential security controls. The choice of an adaptation depends on the emergency severity level announced by the emergency vehicle(s). The severity level may need to be verified by corresponding authorities to preserve security measures. We discuss the details of our proposed framework and the potential challenges in the paper.Keywords -Traffic Management Systems (TMSs), Vehicle to Vehicle (V2V), Vehicle to Infrastructure (V2I), Adaptive Security, Adaptive Software, Emergency Service, Smart Cities.

Vehicular ad-hoc network (VANET)-based multimedia applications are considered to play a very important role in the future of intelligent transportation systems and vehicular infotainment systems. Socio-economic issues are identified among the main challenges in VANET-based multimedia applications. In response to these challenges, this paper proposes a novel user-oriented cluster-based multimedia delivery solution over VANETs that is able to address vehicle passenger preferences and deliver multimedia content of their interest. Such a solution will support various value added services in the vehicles, e.g. touristic video guide, news, entertainment, etc. In this paper the architecture of the proposed solution is presented together with the cluster-based mechanism employed for multimedia transmissions and the cluster head selection algorithm required for delivery infrastructure management. Simulation-based testing demonstrate how this solution increases system stability resulting in a longer life of the elected cluster head compared to the classic Lowest-ID cluster head algorithm, fact that positively influences the quality of the multimedia transmission.

Abstract-Vehicular ad-hoc networks (VANETs) are considered to have an enormous potential in enhancing road traffic safety and traffic efficiency. Socio-economic challenges, network scalability and stability are identified among the main challenges in VANETs. In response to these challenges, this paper proposes a novel user-oriented Fuzzy Logic-based k-hop distributed clustering scheme for VANETs that takes into consideration the vehicle passenger preferences. The novelty element introduced is the employment of Fuzzy Logic as a prominent player in the clustering scheme. To the best knowledge of the authors, there are no Fuzzy Logic-based clustering algorithms designed for VANETs. Simulation-based testing demonstrate how the proposed solution increases the stability of vehicular networks, lifetime and stability of cluster heads compared to both the classic LowestID algorithm and an utility function-based clustering scheme previously proposed by the same authors.