Google Earth Engine (GEE) is a versatile cloud platform in which pixel-based (PB) and object-oriented (OO) Land Use–Land Cover (LULC) classification approaches can be implemented, thanks to the availability of many state-of-art functions comprising various Machine Learning (ML) algorithms. OO approaches, including both object segmentation textural analysis, are still not common GEE environment, probably due difficulties existing concatenating proper functions, tuning parameters overcome...

Connected and autonomous vehicles will play a pivotal role in future intelligent transportation systems smart cities, general. High-speed low-latency wireless communication links allow municipalities to warn against safety hazards, as well support cloud-driving solutions drastically reduce traffic jams air pollution. To achieve these goals, need be equipped with wide range of sensors generating exchanging high rate data streams. Recently, millimeter wave (mmWave) techniques have been...

With the general objective of producing a 2018–2020 Land Use/Land Cover (LULC) map Maiella National Park (central Italy), useful for future long-term LULC change analysis, this research aimed to develop Landsat 8 (L8) data composition and classification process using Google Earth Engine (GEE). In process, we compared two pixel-based (PB) object-based (OB) approaches, assessing advantages integrating textural information in PB approach. Moreover, tested possibility L8 panchromatic band...

The explosive growth of content-on-the-move, such as video streaming to mobile devices, has propelled research on multimedia broadcast and multicast schemes. Multi-rate transmission strategies have been proposed a means delivering layered services users experiencing different downlink channel conditions. In this paper, we consider Point-to-Multipoint service delivery across generic cellular system improve it by applying random linear network coding approaches. We derive packet error...

Characterization of the delay profile systems employing random linear network coding is important for reliable provision broadcast services. Previous studies focused on over large finite fields or developed Markov chains to model distribution but did not look at effect transmission deadlines delay. In this work, we consider generations source packets that are encoded and transmitted erasure channel. The associated a generation taken be deadline-constrained, is, transmitter drops proceeds...

Intelligent Transportation Systems (ITSs) require ultra-low end-to-end delays and multi-gigabit-per-second data transmission. Millimetre Waves (mmWaves) communications can fulfil these requirements. However, the increased mobility of Connected Autonomous Vehicles (CAVs), requires frequent beamforming - thus introducing overhead. In this paper, a new algorithm is proposed able to achieve overhead-free training. Leveraging from CAVs sensory data, broadcast with Dedicated Short Range...

Point-to-multipoint communications are expected to play a pivotal role in next-generation networks. This paper refers cellular system transmitting layered multicast services group of users. Reliability is ensured via different Random Linear Network Coding (RLNC) techniques. We deal with fundamental problem: the computational complexity RLNC decoder. The higher number decoding operations is, more user's overhead grows and, consequently, faster battery mobile devices drains. By referring...

Video service delivery over 3GPP Long Term Evolution-Advanced (LTE-A) networks is gaining momentum with the adoption of evolved Multimedia Broadcast Multicast Service (eMBMS). In this paper, we address challenge optimizing radio resource allocation process so that heterogeneous groups users, according to their propagation conditions, can receive layered video streams at predefined and progressively decreasing levels matched respective user groups. A key aspect proposed system model are...

We consider a lossy multicast network in which the reliability is provided by means of random linear coding. Our goal to characterize performance such terms probability that source message delivered all destination nodes. Previous studies considered coding over large finite fields, small numbers nodes or specific, often impractical, channel conditions. In contrast, we focus on general problem, considering arbitrary field size and number nodes, realistic channel. propose lower bound...

Millimeter Waves (mmWave) systems have the potential of enabling multi-gigabit-per-second communications in future Intelligent Transportation Systems (ITSs). Unfortunately, because increased vehicular mobility, they require frequent antenna beam realignments - thus significantly increasing in-band Beamforming (BF) overhead. In this paper, we propose Smart Motion-prediction Beam Alignment (SAMBA), a MAC-layer algorithm that exploits information broadcast via DSRC beacons by all vehicles....

Connected and Autonomous Vehicles (CAVs) will play a crucial role in next-generation Cooperative Intelligent Transportation Systems (C-ITSs). Not only is the information exchange fundamental to improve road safety efficiency, but it also paves way wide spectrum of advanced ITS applicati

Seminatural grasslands are among the most threatened habitats in Europe and worldwide, mainly due to changes in/abandonment of their traditional extensive use by grazing animals. This study aimed develop an innovative model that integrates plant biodiversity, animal husbandry, geo-informatics manage preserve seminatural protected areas. With this objective, integrated was conducted on hilly, montane, (to a minimum extent) subalpine belts Maiella National Park, one Europe’s biodiversity-rich...

The successful deployment of safe and trustworthy Connected Autonomous Vehicles (CAVs) will highly depend on the ability to devise robust effective security solutions resist sophisticated cyber attacks patch up critical vulnerabilities. Pseudonym Public Key Infrastructure (PPKI) is a promising approach secure vehicular networks as well ensure data location privacy, concealing vehicles' real identities. Nevertheless, pseudonym distribution management affect PPKI scalability due significant...

We consider binary systematic network codes and investigate their capability of decoding a source message either in full or part. carry out probability analysis, derive closed-form expressions for the show that coding outperforms conventional coding. also develop an algorithm based on Gaussian elimination allows progressive packets. Simulation results proposed can achieve theoretical optimal performance. Furthermore, we demonstrate equipped with are good candidates packet recovery owing to...

Millimeter Waves (mmWaves) will play a pivotal role in the next- generation of Intelligent Transportation Systems (ITSs). However, deep urban environments, sensitivity to blockages creates need for more sophisticated network planning. In this paper, we present an agile strategy deploying road-side nodes dense city scenario. our system model, consider strict Quality-of-Service (QoS) constraints (e.g. high throughput, low latency) that are typical ITS applications. Our approach is scalable,...

Ultra-reliable Point-to-Multipoint (PtM) communications are expected to become pivotal in networks offering future dependable services for smart cities. In this regard, sparse Random Linear Network Coding (RLNC) techniques have been widely employed provide an efficient way improve the reliability of broadcast and multicast data streams. This paper addresses pressing concern providing a tight approximation probability user recovering stream protected by kind coding technique. particular,...

An exponential increase in mobile video delivery will continue with the demand for higher resolution, multi-view and large-scale multicast services. Novel fifth generation (5G) 3GPP New Radio (NR) standard bring a number of new opportunities optimizing across both 5G core radio access networks. One promising approaches quality adaptation, throughput enhancement erasure protection is use packet-level random linear network coding (RLNC). In this review paper, we discuss integration RLNC into...

This letter considers a network comprising transmitter, which employs random linear coding to encode message, legitimate receiver, can recover the message if it gathers sufficient number of linearly independent coded packets, and an eavesdropper. Closed-form expressions for probability eavesdropper intercepting enough packets are derived. Transmission with without feedback is studied. Furthermore, optimization model that minimizes intercept under delay reliability constraints presented....

Automated Vehicles are an integral part of Intelligent Transportation Systems (ITSs) and expected to play a crucial role in the future mobility services. This paper investigates two classes self-driving vehicles: (i) Level 4&5 (AVs) that rely solely on their on-board sensors for environmental perception tasks, (ii) Connected (CAVs), leveraging connectivity further enhance via driving intention sensor information sharing. Our investigation considers quantifies impact each vehicle group large...

In this letter, we propose two optimized multicast communication strategies based on the Network Coding principle which aim to significantly improve performance in terms of power cost and delivery delay associated transmission whole data flow. The proposed are special interest for service delivered an unreliable mode. reported numerical results clearly show that both achieve aforementioned goals comparison with Random Linear alternative.

Computer simulations and real-world car trials are essential to investigate the performance of Vehicle-to-Everything (V2X) networks. However, imperfect models physical reality can be trusted only when they indicate agreement with real-world. On other hand, lack reproducibility subject uncertainties errors. In this paper, we will illustrate a case study where interrelationship between trials, simulation, reality-of-interest is presented. Results then compared in holistic fashion. Our describe...

In this paper, we investigate the performance advantages achieved by using a symbol combining (SC) approach in random linear network coding (RLNC) scheme for broadcast communications over lossy channels. particular, focus is on modified RLNC that makes use of repeated transmissions each data belonging to same coded packet implement SC at receiving ends. By considering mean number and energy consumption as objective metrics, two optimization procedures are proposed compared paper. We consider...

Future Connected and Autonomous Vehicles (CAVs) will be equipped with a large set of sensors. The amount generated sensor data is expected to exchanged other CAVs the road-side infrastructure. Both in Europe US, Dedicated Short Range Communications (DSRC) systems, based on IEEE 802.11p Physical Layer, are key enabler for communication among vehicles. Given market penetration connected vehicles, licensed band 75 MHz, dedicated DSRC communications, become increasingly congested. In this paper,...

Long Term Evolution (LTE) is considered one of the main candidate to provide wireless broadband access mobile users. Among LTE characteristics, flexibility and efficiency can be guaranteed by resorting suitable resource allocation schemes, in particular adopting adaptive OFDM schemes. This paper proposes a novel solution sub-carrier problem for downlink that takes into account queues length, QoS constraints channel conditions. Each user has different queues, each class, transmit with data...