Robust Communication Research Articles

Subjective vs. objective assessment of the economic impacts of light rail transit: The case of G:Link in Gold Coast, Australia

While the current discourse surrounding the economic impacts of light rail transit (LRT) predominantly leans on objective metrics, emerging signs point to a possible disparity between subjective perceptions and these objective evaluations. This study endeavours to fill this void by scrutinizing the impacts of the G:Link in Gold Coast, Australia on local businesses, prompted by anecdotal commentary of adverse effects. Conducting 23 interviews with businesses in Surfers Paradise, located within the G:Link's influential zone, helped identify thematic economic effects. Subsequently, Difference-in-Difference and time-series regression models were estimated to objectively validate four of the identified thematic effects: changes in travel behaviour, business performance, customer base, and tourism activity. While businesses perceived the G:Link as ineffective in promoting public transport and blamed it for their economic downturns, objective data countered these perceptions. It revealed that the G:Link contributed to a 3.6% rise in public transport usage to Surfers Paradise. The economic downturn experienced by businesses cannot be linked to the LRT; rather, it mirrors a broader citywide temporal effect. Furthermore, in contrast to prevailing beliefs, there was a notable increase in both customer volumes and their dwell times. The findings offer nuanced insights into LRT's effects on individual businesses and aggregated impacts, highlighting prevalent misperceptions that could undermine public support, investment opportunities, and sustainable transport choices. Addressing these misunderstandings necessitates robust education and communication strategies.

VEHICLE ACCIDENT DETECTION AND RESCUE SYSTEM

The "Vehicle Accident Detection And Rescue System" project is a cutting-edge endeavour focused on revolutionizing road safety standards. It leverages a combination of sophisticated components, including Arduino Nano microcontrollers, nRF24L01 transceivers, GPS sensors, and SIM800 modules, to create a robust communication network among vehicles. This network enables real-time exchange of crucial information such as accidents and road conditions, empowering drivers with timely insights to navigate safely. Moreover, the project integrates an automatic accident detection system that swiftly responds to collisions by triggering emergency calls to predefined numbers like 100 for police and 108 for medical services. Through this seamless integration of technology, the project aims to mitigate accident risks and enhance overall road safety. Furthermore, the project addresses the challenges associated with overtaking manoeuvrers by introducing a feature that allows drivers to request passage through a simple button press. This functionality facilitates smooth communication between vehicles, ensuring safer overtaking experiences for all road users. By amalgamating state-of-the-art technologies with real-time communication capabilities, the project presents a comprehensive solution to optimize traffic management, reduce accident rates, and ultimately enhance road safety standards. KEY WORDS: Arduino Nano, nrf24L01, GSM Module, GPS Module, OLED

Beyond words: analyzing non-verbal communication techniques in a medical communication skills course via synchronous online platform.

Effective doctor-patient relationships hinge on robust communication skills, with non-verbal communication techniques (NVC) often overlooked, particularly in online synchronous interactions. This study delves into the exploration of NVC types during online feedback sessions for communication skill activities in a medical education module. A cohort of 100 first-year medical students and 10 lecturers at the Faculty of Medicine, Universiti Kebangsaan Malaysia (UKM), engaged in communication skills activities via Microsoft Teams. Sessions were recorded, and lecturer NVC, encompassing body position, facial expressions, voice intonation, body movements, eye contact, and paralinguistics, were meticulously observed. Following these sessions, students provided reflective writings highlighting their perceptions of the feedback, specifically focusing on observed NVC. The study identified consistent non-verbal communication patterns during feedback sessions. Lecturers predominantly leaned forward and toward the camera, maintained direct eye contact, and exhibited dynamic voice intonation. They frequently engaged in tactile gestures and paused to formulate thoughts, often accompanied by filler sounds like "um" and "okay." This consistency suggests proficient use of NVC in providing synchronous online feedback. Less observed NVC included body touching and certain paralinguistic cues like long sighs. Initial student apprehension, rooted in feelings of poor performance during activities, transformed positively upon observing the lecturer's facial expressions and cheerful intonation. This transformation fostered an open reception of feedback, motivating students to address communication skill deficiencies. Additionally, students expressed a preference for comfortable learning environments to alleviate uncertainties during feedback reception. Potential contrivances in non-verbal communication (NVC) due to lecturer awareness of being recorded, a small sample size of 10 lecturers limiting generalizability, a focus solely on preclinical lecturers, and the need for future research to address these constraints and explore diverse educational contexts. Medical schools globally should prioritize integrating NVC training into their curricula to equip students with essential communication skills for diverse healthcare settings. The study's findings serve as a valuable reference for lecturers, emphasizing the importance of employing effective NVC during online feedback sessions. This is crucial as NVC, though occurring online synchronously, remains pivotal in conveying nuanced information. Additionally, educators require ongoing professional development to enhance proficiency in utilizing NVC techniques in virtual learning environments. Potential research directions stemming from the study's findings include longitudinal investigations into the evolution of NVC patterns, comparative analyses across disciplines, cross-cultural examinations, interventions to improve NVC skills, exploration of technology's role in NVC enhancement, qualitative studies on student perceptions, and interdisciplinary collaborations to deepen understanding of NVC in virtual learning environments.

Toward robust and efficient communications for urban air mobility

AbstractFor the realization of the future urban air mobility, reliable information exchange based on robust and efficient communication between all airspace participants will be one of the key factors to ensure safe operations. Especially in dense urban scenarios, the direct and fast information exchange between drones based on drone-to-drone communications is a promising technology for enabling reliable collision avoidance systems. However, to mitigate collisions and to increase overall reliability, unmanned aircraft still lack a redundant, higher-level safety net to coordinate and monitor traffic, as is common in today’s civil aviation. In addition, direct and fast information exchange based on ad hoc communication is needed to cope with the very short reaction times required to avoid collisions and to cope with the high traffic densities. Therefore, we are developing a D2D communication and surveillance system, called DroneCAST, which is specifically tailored to the requirements of a future urban airspace and will be part of a multi-link approach. In this work, we discuss challenges and expected safety-critical applications that will have to rely on communications for UAM and present our communication concept and necessary steps toward DroneCAST. As a first step toward an implementation, we equipped two drones with hardware prototypes of the experimental communication system and performed several flights around the model city to evaluate the performance of the hardware and to demonstrate different applications that will rely on robust and efficient communications.

Topological protection of dual-polarization biphoton states in photonic crystals

Polarization control is a major issue in topological quantum optics that limits reliable generation and transmission of quantum states. This study presents what we believe to be a novel topological photonic crystal design that provides topological protection for biphoton pairs for both TE and TM polarization. By well-designed cell configurations within the lattice, two topological boundaries emerge that can accommodate TM and TE modes at the same time. By adjusting the dispersion curves, we can further design nonlinear four-wave mixing processes within the topological photonic crystals and provide theoretical explanations for the entanglement of the dual-polarization biphoton states. Numerical results confirm the robust transport of entangled photon pairs, even when subjected to sharp bending. Moreover, combining the dual-polarization topological photonic crystal with a polarization beam splitter enables the preparation of polarization-encoded maximally entangled states. Our work exhibits significant potential for applications in robust optical quantum information processing and quantum secure communication.

Greentooth: Robust and Energy Efficient Wireless Networking for Batteryless Devices

Communication presents a critical challenge for emerging intermittently powered batteryless sensors. Batteryless devices that operate entirely on harvested energy often experience frequent, unpredictable power outages and have trouble keeping time accurately. Consequently, effective communication using today’s low-power wireless network standards and protocols becomes difficult, particularly because existing standards are usually designed to support reliably powered devices with predictable node availability and accurate timekeeping capabilities for connection and congestion management. In this article, we present Greentooth, a robust and energy-efficient wireless communication protocol for intermittently powered sensor networks. It enables reliable communication between a receiver and multiple batteryless sensors using Time Division Multiple Access–style scheduling and low-power wake-up radios for synchronization. Greentooth employs lightweight and energy-efficient connections that are resilient to transient power outages, while significantly improving network reliability, throughput, and energy efficiency of both the battery-free sensor nodes and the receiver—which could be untethered and energy constrained. We evaluate Greentooth using a custom-built batteryless sensor prototype on synthetic and real-world energy traces recorded from different locations in a garden across different times of the day. Results show that Greentooth achieves 73% and 283% more throughput compared to Asynchronous Wake-up on Demand MAC and Receiver-Initiated Consecutive Packet Transmission Wake-up Radios, respectively, under intermittent ambient solar energy and over 2× longer receiver lifetime.

Exploiting Fine-grained Dimming with Improved LiFi Throughput

Optical wireless communication (OWC) shows great potential due to its broad spectrum and the exceptional intensity switching speed of LEDs. Under poor conditions, most OWC systems switch from complex and more error prone high-order modulation schemes to more robust On-Off Keying (OOK) modulation defined in the IEEE OWC standard. This paper presents LiFOD, a high-speed indoor OOK-based OWC system with fine-grained dimming support. While ensuring fine-grained dimming, LiFOD remarkably achieves robust communication at up to 400 Kbps at a distance of 6 meters. This is the first time that the data rate has improved via OWC dimming in comparison to the previous approaches that consider trading off dimming and communication. LiFOD makes two key technical contributions. First, LiFOD utilizes Compensation Symbols (CS) as a reliable side-channel to represent bit patterns dynamically and improve throughput. We firstly design greedy-based bit pattern mining. Then we propose 2D feature enhancement via YOLO model for real-time bit pattern mining. Second, LiFOD synchronously redesigns optical symbols and CS relocation schemes for fine-grained dimming and robust decoding. Experiments on low-cost Beaglebone prototypes with commercial LED lamps and the photodiode (PD) demonstrate that LiFOD significantly outperforms the state-of-the-art system with 2.1× throughput on the SIGCOMM17 data-trace.

Robust Communication: How Math Is Used to Encode and Decode Messages

Coding theory uses linear and abstract algebra to protect messages against corruption when sending them over a channel. This paper examines the mathematics behind coding theory and how it is used to ensure reliable communication.

Secrecy Performance of a Non-Orthogonal Multiple Access-Based Space–Air–Ground Integrated Network System with Stochastic Geometry Distribution of Terrestrial Terminals and Fog Absorption in Optical Link

Recently, non-orthogonal multiple access (NOMA)-based space–air–ground integrated networks (SAGINs) have gained increasing attention due to their robust communication, broader coverage, and resource-saving advantages. However, it is imperative to consider physical layer security as a crucial performance metric in NOMA-based SAGINs. This study addresses this concern by constructing a NOMA-based free space optical (FSO)/radio frequency (RF) dual-hop SAGIN system with eavesdroppers on both links. The two new fading channel models were proposed, considering the FSO link’s fog absorption and the RF link’s stochastic distribution based on Málaga and shadowed Rician distributions. The closed-form expressions for the secrecy outage probability are derived for the SAGIN system. Monte Carlo simulations were conducted to validate the theoretical findings. The results revealed the influence of fog absorption and the stochastic geometry distribution on the SAGIN system.

Robust Offloading for Edge Computing-Assisted Sensing and Communication Systems: A Deep Reinforcement Learning Approach.

In this paper, we consider an integrated sensing, communication, and computation (ISCC) system to alleviate the spectrum congestion and computation burden problem. Specifically, while serving communication users, a base station (BS) actively engages in sensing targets and collaborates seamlessly with the edge server to concurrently process the acquired sensing data for efficient target recognition. A significant challenge in edge computing systems arises from the inherent uncertainty in computations, mainly stemming from the unpredictable complexity of tasks. With this consideration, we address the computation uncertainty by formulating a robust communication and computing resource allocation problem in ISCC systems. The primary goal of the system is to minimize total energy consumption while adhering to perception and delay constraints. This is achieved through the optimization of transmit beamforming, offloading ratio, and computing resource allocation, effectively managing the trade-offs between local execution and edge computing. To overcome this challenge, we employ a Markov decision process (MDP) in conjunction with the proximal policy optimization (PPO) algorithm, establishing an adaptive learning strategy. The proposed algorithm stands out for its rapid training speed, ensuring compliance with latency requirements for perception and computation in applications. Simulation results highlight its robustness and effectiveness within ISCC systems compared to baseline approaches.

Comprehensive analysis of dynamic topology sensor linkage for the internet of things

In today’s developing IoT world, wireless sensor interactions are critical. To ensure full system IP compatibility, industry efforts are focused on standardizing the WSN protocol suite and enabling the second generation of IoT devices to be produced. As a result of their robust communications and conformance to less verbose WSN features such as sleep cycles required to keep end nodes’ total energy consumption low, the WSN protocols are strong contenders for use as a highly useable implementation layer for the IoT. Existing smart systems make use of system assets for critical IoT functions. Compared to a wired configuration, wireless sensors are easier to install and provide more device flexibility. As sensor technology advances, WSNs will become a critical component of the IoT and an essential tool for achieving the IoT paradigm’s goal. It’s also crucial to think about whether or not a WSN’s sensors should be fully linked into the IoT’s. For WSNs, a multi-objective optimization technique for selecting the most energy-efficient CH is described. The CHs for each lattice were first selected using a candidate CH selection method. Energy waste and data redundancy were also decreased by using multi-hop networking. An inventive new method has also been devised to ensure perfect implementation. The Evolutionary Algorithm (EA) model and optimization techniques used in this work provided an energy-efficient Machine Learning (ML) strategy for selecting WSN CH. First, the CH of each lattice was calculated using a candidate CH selection method. According to the results of the simulation, the suggested model’s performance is superior to traditional approaches in terms of network lifespan, energy efficiency, and reduced consumption.

FOSTERING CROSS-DISCIPLINARY COLLABORATION IN OFFSHORE PROJECTS: STRATEGIES AND BEST PRACTICES

In the realm of offshore engineering projects, the integration of diverse professional expertise is essential for successful planning and execution. This paper explores strategies and best practices for fostering cross-disciplinary collaboration in offshore projects, aiming to enhance project outcomes and mitigate risks. The abstract begins by highlighting the significance of cross-disciplinary collaboration in addressing the complex challenges inherent in offshore endeavors. It delineates the various strategies proposed for effective collaboration, including establishing clear project objectives, creating a collaborative culture, implementing robust communication channels, promoting mutual understanding, and encouraging interdisciplinary training. Furthermore, it outlines best practices such as forming cross-functional teams, utilizing integrated project management tools, holding regular interdisciplinary meetings, and embracing diversity. Through the analysis of case studies and examples, this paper illustrates the application of these strategies and best practices in real-world offshore projects, emphasizing successful outcomes and key lessons learned. The abstract concludes by emphasizing the importance of fostering cross-disciplinary collaboration in offshore engineering projects and suggests avenues for future research to further enhance collaboration methods and outcomes in this critical field.
 Keywords: Cross-Disciplinary Collaboration, Offshore Projects, Integrating Diverse Professional Expertise, Planning, Execution, Offshore Engineering Projects.

Single-cell RNA sequencing reveals aberrant sphingolipid metabolism in non-small cell lung cancer impacts tumor-associated macrophages and stimulates angiogenesis via macrophage inhibitory factor signaling.

Sphingolipids not only serve as structural components for maintaining cell membrane fluidity but also function as bioactive molecules involved in cell signaling and the regulation of various biological processes. Their pivotal role in cancer cell development, encompassing cancer cell proliferation, migration, angiogenesis, and metastasis, has been a focal point for decades. However, the contribution of sphingolipids to the complexity of tumor microenvironment promoting cancer progression has been rarely investigated. Through the integration of publicly available bulk RNA-seq and single-cell RNA-seq data, we conducted a comprehensive analysis to compare the transcriptomic features between tumors and adjacent normal tissues, thus elucidating the intricacies of the tumor microenvironment (TME). Disparities in sphingolipid metabolism (SLM)-associated genes were observed between normal and cancerous tissues, with the TME characterized by the enrichment of sphingolipid signaling in macrophages. Cellular interaction analysis revealed robust communication between macrophages and cancer cells exhibiting low SLM, identifying the crucial ligand-receptor pair, macrophage inhibitory factor (MIF)-CD74. Pseudo-time analysis unveiled the involvement of SLM in modulating macrophage polarization towards either M1 or M2 phenotypes. Categorizing macrophages into six subclusters based on gene expression patterns and function, the SPP1+ cluster, RGS1+ cluster, and CXCL10+ cluster were likely implicated in sphingolipid-induced M2 macrophage polarization. Additionally, the CXCL10+, AGER+, and FABP4+ clusters were likely to be involved in angiogenesis through their interaction with endothelial cells. Based on multiple scRNA-seq datasets, we propose that a MIF-targeted strategy could potentially impede the polarization from M1 to M2 and impair tumor angiogenesis in low-SLM non-small cell lung cancer (NSCLC), demonstrating its potent antitumor efficacy.

Pairwise Sequency Index Modulation With OTSM for Green and Robust Single-Carrier Communications

Pairwise Sequency Index Modulation With OTSM for Green and Robust Single-Carrier Communications

Reduced resource competition based on mCAP and FD‐OZCZ code for VLCP system

AbstractThe advancement of smart cities and intelligent industries has accentuated the necessity for reliable indoor communication and precise indoor positioning. In response, this paper presents an innovative integrated system for indoor visible light communication and positioning, designed to facilitate robust communication and pinpoint accuracy in positioning for indoor applications. We incorporate multiband carrierless amplitude and phase (CAP) modulation to mitigate interference between communication and positioning subcarriers. Unlike the conventional orthogonal frequency division multiplexing‐based subcarrier modulation (OFDM‐SCM), CAP demonstrates reduced out‐of‐band interference and a diminished peak‐to‐average power ratio (PAPR). Moreover, we introduce the frequency domain optical zero correlation zone (FD‐OZCZ) code, integrated within the CAP signal to optimize the distribution of positioning subcarriers. Simulation outcomes substantiate that our proposed CAP, augmented with FD‐OZCZ, outperforms OFDM‐SCM systems in delivering reliable communication and exceptional positioning accuracy.

Controller Hardware-in-the-Loop Testbed of a Distributed Consensus Multi-Agent System Control under Deception and Disruption Cyber-Attacks

The impact of communication disturbances on microgrids (MGs) needs robust and scalable Information Communication Technology (ICT) infrastructure for efficient MG control. This work builds on advances in the Internet of Things (IoT) to provide a practical platform for testing the impact of various cyber-attacks on a distributed control scheme for a Multi-Agent System (MAS). This paper presents a Controller Hardware-in-the-Loop (CHIL) testbed to investigate the impact of various cyber-attacks and communication disruptions on MGs. A distributed consensus secondary control scheme for a MAS within an MG cyber-physical system (CPS) is proposed. The proposed cyber-physical testbed integrates a real-time islanded AC microgrid on RT-Lab, secondary controllers implemented on single-board computers, and an attacker agent on another single-board computer. Communication occurs via a UDP/IP network between OPAL-RT and controller agents, as well as between the agents. Through meticulous experimentation, the efficacy of the proposed control strategy using the developed platform is validated. Various attacks were modeled and launched including deception attacks on sensors, actuators, and their combinations, as well as disruption attacks. The ramifications of both deception and disruption cyber-attacks on system performance are analyzed.

Robust Free-Space Optical Communication Utilizing Polarization for the Advancement of Quantum Communication.

Free-space optical (FSO) communication can be subject to various types of distortion and loss as the signal propagates through non-uniform media. In experiment and simulation, we demonstrate that the state of polarization and degree of polarization of light passed though underwater bubbles, causing turbulence, is preserved. Our experimental setup serves as an efficient, low cost alternative approach to long distance atmospheric or underwater testing. We compare our experimental results with those of simulations, in which we model underwater bubbles, and separately, atmospheric turbulence. Our findings suggest potential improvements in polarization based FSO communication schemes.

Effective Delivery Management in Geographically Dispersed Teams: Overcoming Challenges in Salesforce Projects

In the era of digital transformation, Salesforce has emerged as a leading platform for customer relationship management (CRM), enabling businesses to streamline their operations and enhance customer engagement. However, the management of Salesforce projects in geographically dispersed teams presents unique challenges that can impact delivery effectiveness. This paper explores the complexities associated with delivering Salesforce projects when team members are located in different regions and proposes strategies to overcome these challenges. Geographically dispersed teams often encounter issues related to communication, coordination, and cultural differences. Communication barriers, such as time zone differences and language variations, can lead to misunderstandings and delays in project execution. Additionally, the lack of face-to-face interactions can hinder effective collaboration and team cohesion. Cultural differences may also affect team dynamics, impacting productivity and decision-making processes. To address these challenges, the paper emphasizes the importance of implementing robust communication strategies. Establishing clear communication protocols, utilizing collaboration tools, and setting up regular virtual meetings are crucial for maintaining alignment among team members. Leveraging technology such as video conferencing, project management software, and instant messaging platforms can bridge the gap caused by geographical distances, facilitating real-time updates and seamless information sharing.

Investigations on OFDM UAV-based free-space optical transmission system with scintillation mitigation for optical wireless communication-to-ground links in atmospheric turbulence

The potential integration of unmanned aerial vehicles (UAVs) with free space optical (FSO) communication systems stands as a promising innovation in the realm of wireless network infrastructures. This study presents a comprehensive investigation into the application of orthogonal frequency division multiplexing (OFDM) in conjunction with UAV-based FSO technology, with a specific focus on establishing robust wireless communication links to ground sites within the evolving landscape of 5G networks. The research introduces a pioneering 4-level quadrature amplitude modulation (4-QAM)-OFDM-FSO framework tailored for UAV-to-ground communication, revolutionizing the prospects for seamless and high-throughput data transmission within dynamic network environments. Through comprehensive simulations and theoretical analyses, we unveil the system's efficacy in mitigating atmospheric turbulence, achieving heightened signal integrity, and ensuring performance adaptability over varying link distances, thus significantly addressing present limitations in traditional wireless communication models. Anchored within the context of modern wireless network infrastructures, this work serves as a crucial stepping stone for the practical application of OFDM-UAV-FSO communication systems, representing a paradigm shift in fostering resilient and agile wireless connectivity in the era of 5G networks. The inception of cutting-edge wireless networks expected to outperform the capabilities of 5G necessitates an infrastructure that can handle vast amounts of data. This infrastructure must be not only cost-effective and simple to deploy but also readily scalable to accommodate the diverse demands of front-haul and backhaul applications. Motivated by the growing interest in harnessing UAVs to extend the reach and enhance the operational efficacy of conventional cellular networks, this work introduces a novel application of UAV-ground station connections. The concept employs FSO to facilitate network traffic within both the segments. To optimize throughput, resilience, and spectral efficiency, the application of OFDM is proposed. The research considers the transmission of a 20 Gbps 4-QAM data signal across various channel conditions. It thoroughly assesses the performance implications of factors such as transmission distance and beam divergence. The study explores the correlation between pointing error, scintillation, beam divergence angle, and average spectral efficiency. A slight increase in pointing error results in a rapid rise in the scintillation index, while a larger beam divergence angle can help minimize the impact of scintillation. Adapting the beam's divergence angle based on the pointing error between the optical transceivers can reduce the effects of scintillation and improve the average spectral efficiency and channel capacity. Additionally, the relationship between pointing error, scintillation, and the determination of the optical beam divergence angle in terms of beam divergence and average spectral efficiency and channel capacity is examined, and theoretical evaluations further confirm the method's effectiveness in reducing scintillation in the presence of pointing errors. Furthermore, the simultaneous use of OFDM adaptive beam divergence control and modulation could significantly enhance the data rate. This approach aims to reduce the impact of scintillation in UAV FSO links, which often experience significant losses due to unpredictable fluctuations in the atmosphere's refractive index. The results of the simulations indicate that the integrated 4-QAM-OFDM-FSO framework can realize high data transmission rates, efficiently serving front-haul and backhaul needs, thereby signifying a significant evolutionary leap for the next generation of wireless technology. The numerical findings demonstrate the significant impact of the coherent FSO OFDM optical wireless communication (OWC) setup in UAV wireless communications to ground links, particularly in mitigating the effects of strong turbulence and pointing errors (PEs). Through the integration of spatial coherence diversity and adaptive modulation OFDM in the coherent OWC, there has been a noticeable enhancement in the average spectral efficiency (ASE). Notably, our results indicate an ASE of 53 bits/s/Hz and 37 bits/s/Hz achieved at an average transmitted optical power of 10 dBm for an aperture diameter of 10 cm, without and with PEs for the coherent OWC-FSO OFDM UAV technique, respectively. The proposed method was validated through simulations, demonstrating both improved average spectral efficiency and effective reduction of the scintillation effect. This approach holds promise for mitigating scintillation effects in UAV-FSO links.

Development of an Arduino-Integrated Wireless Inter-Vehicle Communication Infrastructure for Enhanced Traffic Safety and Efficiency

This project addresses the escalating challenges of road traffic management by proposing a sophisticated vehicle-to-vehicle (V2V) communication system based on Arduino technology. The growing congestion and safety concerns demand innovative solutions to facilitate real-time information exchange among vehicles. Our objective is to design and implement a robust V2V communication infrastructure utilizing Arduino microcontrollers and wireless modules. By establishing seamless communication channels between vehicles, we aim to enhance road safety, optimize traffic flow, and reduce accidents. This abstract outlines the problem statement of inadequate communication systems in current traffic management and presents our proposed solution to mitigate these issues through Arduino-enabled V2V communication.