Vehicular Communications最新文献

{"title":"Accident reduction through a privacy-preserving method on top of a novel ontology for autonomous vehicles with the support of modular arithmetic","authors":"Mehdi Gheisari ,&nbsp;Aminreza Karamoozian ,&nbsp;Jiechao Gao ,&nbsp;Hemn Barzan Abdalla ,&nbsp;Shuja Ansari ,&nbsp;Riaz Ullah Khan ,&nbsp;Zhaoxi Fang","doi":"10.1016/j.vehcom.2024.100732","DOIUrl":"10.1016/j.vehcom.2024.100732","url":null,"abstract":"<div><p>Cloud of Things (CoT) emerges as a pivotal paradigm, connecting Internet of Things (IoT) devices to the Cloud Computing space, facilitating the efficient management of smart cities. In navigating the intricate landscape of smart city environments, this paper confronts two paramount challenges— heterogeneity and privacy preservation. Heterogeneity, rooted in the diverse origins of CoT devices from various vendors, intro- duces compatibility gaps and data format variations, impeding seamless communication among devices. Simultaneously, privacy preservation concerns itself with averting the inadvertent disclo- sure of sensitive data generated by CoT devices. Existing solutions often exhibit limitations in effectively addressing both challenges concurrently. To bridge this gap, our proposed solution employs a novel ontology-based approach, commencing with the introduc- tion of a groundbreaking ”Ontology” using the Protege software. This foundational tool serves a dual purpose—standardizing and unifying general and privacy-related information among diverse CoT devices. The ontology addresses the heterogeneity challenge by fostering a shared understanding and vocabulary, promoting interoperability for smoother communication among disparate devices. Complementing the ontology, a privacy-preservation method, implemented with ”MININET-WIFI” and grounded in Modular Arithmetic, dynamically adjusts the privacy-preserving rules of each CoT device. This adaptive mechanism signifi- cantly enhances security, mitigating the risk of unintentional data disclosure—a critical aspect evaluated extensively within the context of a widely used CoT application, specifically, the Autonomous Vehicle (AV) environment. The computational cost is meticulously evaluated, showcasing that our solution introduces a modest overhead, notably below 1.8 s, compared to alternative models. Furthermore, the penetration rate analysis reveals the solution's resilience against honest but curious Remote Service Units (RSUs). Communication overhead is quantified for various privacy-preserving methods, providing a comprehensive view of the solution's performance. Through rigorous simula- tions, encompassing assessments of communication overhead, computational costs, and penetration rates, our solution exhibits not only affordability for a diverse array of CoT devices in smart cities but also heightened resilience against malicious activities and adversaries, surpassing current studies. This paper, therefore, not only presents a novel ontology-based solution but also delves into the nuanced intricacies of heterogeneity and privacy preservation within CoT-based smart cities. The proposed approach, characterized by its dual focus on standardization and dynamic privacy adaptation, signifies a significant stride towards fostering secure, interoperable, and privacy-aware CoT ecosystems amid the dynamic landscape of smart cities.</p></div>","PeriodicalId":54346,"journal":{"name":"Vehicular Communications","volume":null,"pages":null},"PeriodicalIF":6.7,"publicationDate":"2024-01-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139568325","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Energy-minimizing 3D circular trajectory optimization of rotary-wing UAV under probabilistic path-loss in constrained hotspot environments","authors":"Enzo Baccarelli,&nbsp;Michele Scarpiniti,&nbsp;Alireza Momenzadeh","doi":"10.1016/j.vehcom.2024.100730","DOIUrl":"10.1016/j.vehcom.2024.100730","url":null,"abstract":"<div><p>In this paper, we consider a Software Defined Networking (SDN)/Network Function Virtualized (NFV) networked computing system, which is composed of a serving Rotary Wing (RW) Unmanned Aerial Vehicle (UAV), a Ground Controller Station (GCS) and a number of resource-limited (possibly, heterogeneous) Ground Users (GUs) that randomly move in environments affected by fading-induced probabilistic path-loss. The focus of this paper is on the joint and adaptive optimization of the 3D trajectory parameters (i.e., altitude, radius, and speed) of the RW-UAV that circulates over the served hotspot area for providing communication and/or computing support to the GUs. The objective is the minimization of the RW-UAV propulsion energy under constraints on the maximum allowed average path-loss, maximum tolerated outage probability, and finite beam-width of the UAV antenna. Due to the acceleration-dependent terms present in the considered RW-UAV energy propulsion model, the formulated problem is non-convex, and up to now, its solution still appears not to be addressed in the literature. Hence, to tackle this challenging problem: 1) we develop a (seemingly new) convexification approach to turn the problem into a Geometric Programming (GP) one; 2) after characterizing the related feasibility conditions, we develop an adaptive solving approach that relies on primal-dual gradient-based iterations; and, then, 3) we perform a joint co-design of the main blocks of the SDN/NFV-based communication/computing architectures equipping the serving RW-UAV and controlling GCS, in order to provide support for the orchestration of the computing/communication microservices possibly required by the served GUs. The conducted numerical tests confirm that the performance gains of the proposed optimization framework against the ones of a number of baselines may reach 22%, while the corresponding performance gaps against the ultimate performance of a brute force search-based benchmark remain typically limited up to 3%-4%.</p></div>","PeriodicalId":54346,"journal":{"name":"Vehicular Communications","volume":null,"pages":null},"PeriodicalIF":6.7,"publicationDate":"2024-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2214209624000056/pdfft?md5=2b7b42488c6d6627ec0c3842a231a8ba&pid=1-s2.0-S2214209624000056-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139544308","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Unmanned aerial vehicle intrusion detection: Deep-meta-heuristic system","authors":"Shangting Miao ,&nbsp;Quan Pan ,&nbsp;Dongxiao Zheng ,&nbsp;Dr. Ghulam Mohi-ud-din","doi":"10.1016/j.vehcom.2024.100726","DOIUrl":"10.1016/j.vehcom.2024.100726","url":null,"abstract":"<div><p><span><span>The UAV (Unmanned Aerial Vehicles) is an automatic aircraft, widely used several applications like emergency management, wildlife conservation, forestry, aerial photography<span><span>, etc. The communication among the UAV is susceptible to security threats with several diverse attacks. The data sharing among the UAV and other vehicles is vulnerable to jamming and suspicious activities that disturbs the communication. To tackle the issue, IDS (Intrusion Detection System) is the significant system that monitors and identifies the suspicious activities in the communication network. To attain this, several conventional researchers attempted to accomplish better intrusion detection<span>. However, classical models are limited by accuracy, noise and computation. To overcome the limitation, proposed method employs particular set of procedures for the intrusion detection in UAV with Intrusion UAV dataset. The dataset comprise of features like drone speed, height, width, velocity etc. Initially, in the respective approach, GG (Greedy based Genetic) algorithm for feature selection, which maintains the exact balance between the greediness and diversified population. Greedy approach enhances </span></span>Genetic algorithm<span><span> in combinatorial optimisation problems. Further, the study proposes Modified Deep CNN-BiLSTM (Deep Convolutional </span>Neural Network and Bi-Long Short Term Memory) with </span></span></span>attention mechanism for classification of intrusion in UAV. The deep CNN is utilized for the ability of handling larger datasets and accuracy. Conversely, it is limited by computation and speed. To tackle the problem, Bi-LSTM is used for the capability of enhancing the computation and speed. Moreover, attention mechanism is used for handle the complexity and to permit the presented system to focus on the significant and relevant data. Correspondingly, proposed approach performance is calculated using performance metrics such as accuracy, specificity, sensitivity, </span><span><math><msup><mrow><mi>R</mi></mrow><mrow><mn>2</mn></mrow></msup></math></span> (R-Squared), execution time, RMSE and precision. Furthermore, comparative analysis of the proposed method and classical model exposes the efficacy of the respective system.</p></div>","PeriodicalId":54346,"journal":{"name":"Vehicular Communications","volume":null,"pages":null},"PeriodicalIF":6.7,"publicationDate":"2024-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139523018","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A hybrid MGO-JAYA based clustered routing for FANETs","authors":"Ahmed M. Khedr ,&nbsp;Pravija Raj P.V.","doi":"10.1016/j.vehcom.2024.100729","DOIUrl":"10.1016/j.vehcom.2024.100729","url":null,"abstract":"<div><p>In recent years, Flying Ad-hoc Networks (FANETs) have gained significant attention among researchers due to the widespread applications and increasing popularity of Unmanned Aerial Vehicles<span><span><span> (UAVs). As technology advances and more research is undertaken, FANETs are expected to become a vital aspect of modern times, allowing for more effective and creative applications in different domains. However, FANETs also face several challenges, including high mobility, dynamic topology<span>, energy constraints, and communication reliability. Addressing these challenges is essential to unlock the full potential of FANETs and to ensure reliable and timely delivery of data. In this paper, we propose HMGOC, a novel clustered routing model for FANETs, utilizing a hybrid approach that combines the Mountain Gazelle Optimizer (MGO) and Jaya Algorithms. The dynamic flying behavior of UAVs demands an adaptive and efficient clustering strategy to maintain network stability and ensure robust and reliable communication among UAVs. In this context, MGO, one of the most recent swarm-based optimization methods, is enhanced and employed for FANET clustering process. Also, we design a routing mechanism based on conditional Bayes' theorem which adapts to changing network conditions, reduces </span></span>packet losses, and ensures timely data delivery. HMGOC offers several advantages over other competitive techniques, including improved load balancing, minimized energy consumption and latency, and enhanced network throughput and lifespan. The simulation results demonstrate that the HMGOC technique beats the existing methods in terms of enhanced </span>cluster stability<span> and lifetime, increased packet deliverability, energy efficiency, reduced latency, and minimized overhead.</span></span></p></div>","PeriodicalId":54346,"journal":{"name":"Vehicular Communications","volume":null,"pages":null},"PeriodicalIF":6.7,"publicationDate":"2024-01-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139505188","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Combining blockchain and crowd-sensing for location privacy protection in Internet of vehicles","authors":"Zihao Shen ,&nbsp;Fei Ren ,&nbsp;Hui Wang ,&nbsp;Peiqian Liu ,&nbsp;Kun Liu ,&nbsp;Jun Zhang","doi":"10.1016/j.vehcom.2023.100724","DOIUrl":"10.1016/j.vehcom.2023.100724","url":null,"abstract":"<div><p>With the rapid development of Internet of Vehicles (IoV), crowd-sensing based on IoV is widely used in various fields. Traditional crowd-sensing uses a third-party service platform for information interaction, which has problems of worker location privacy leakage<span> and imbalanced participation task fairness. To solve these problems, this paper proposes a combination of blockchain and crowd-sensing for location privacy protection (BCS-LPP) method in IoV. First, blockchain is introduced into BCS-LPP to prevent the leakage of user information by third-party service platforms. Second, providing workers with personalized location privacy level options, combined with Geohash encoding and order-preserving encryption to safeguard the confidentiality of workers' location privacy information. Finally, the fairness of worker participation in tasks and the quality of sensing data are guaranteed by verifying the sensing locations submitted by workers. Using real datasets, BCS-LPP is compared with existing schemes through experimental simulation. BCS-LPP can better ensure the quality of sensing data, protect workers' location privacy information, and enhance the fairness of user participation in tasks.</span></p></div>","PeriodicalId":54346,"journal":{"name":"Vehicular Communications","volume":null,"pages":null},"PeriodicalIF":6.7,"publicationDate":"2024-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139082036","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Performance analysis of AUV-carried RISs-aided multihop UWOC convergent with RF MRC systems over WGG oceanic turbulence","authors":"Binna Zhou,&nbsp;Ping Wang,&nbsp;Tian Cao,&nbsp;Ganggang Li,&nbsp;Shuang Li,&nbsp;Pengfei Yang","doi":"10.1016/j.vehcom.2023.100722","DOIUrl":"10.1016/j.vehcom.2023.100722","url":null,"abstract":"<div><p><span>To establish reliable connection between Internet of Underwater Things (IoUT) devices and terrestrial data centers<span>, this work first proposes a reconfigurable intelligent surface (RIS) aided multihop underwater wireless optical communication (UWOC) convergent with radio frequency (RF) uplink system. Specifically, the RIS carried by an autonomous </span></span>underwater vehicle<span><span> (AUV) is introduced into UWOC link to relax the line-of-sight (LOS) requirement and the maximal-ratio combining (MRC) receiver is adopted at the terrestrial data center to mitigate the RF link fading. It is assumed that the underwater thermocline channel is subject to the newly proposed Weibull-generalized gamma (WGG) turbulence distribution and the RF link composite fading follows Fisher-Snedecor F distribution. Additionally, the optical link<span> misalignment is characterized by the zero-boresight pointing errors model. With the decode-and-forward (DF) relaying scheme, the analytical closed-form expressions of the outage probability (OP) and average bit error rate (ABER) of this system are mathematically achieved, and then the impacts of air bubbles, thermohaline gradient, the number of RIS elements, pointing errors, system structure, and the number of </span></span>receive antennas are further investigated. Meanwhile, the analytical results are verified by Monte Carlo (MC) simulations. Results reveal that this hybrid system performance would degrade with the increased air bubble levels and thermohaline gradients. Notably, RIS can effectively alleviate the impact of underwater turbulence and this effect would be more pronounced as the number of RIS elements increases. This work will benefit the design and research of hybrid UWOC-RF system.</span></p></div>","PeriodicalId":54346,"journal":{"name":"Vehicular Communications","volume":null,"pages":null},"PeriodicalIF":6.7,"publicationDate":"2024-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139101297","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Energy-efficient trajectory design for secure SWIPT systems assisted by UAV-IRS","authors":"Li Zhao,&nbsp;Shaocheng Qu,&nbsp;Hongbo Xu,&nbsp;Ziming Wei,&nbsp;Chen Zhang","doi":"10.1016/j.vehcom.2023.100725","DOIUrl":"10.1016/j.vehcom.2023.100725","url":null,"abstract":"<div><p><span><span>Due to its controllable maneuverability<span>, wide coverage, and low cost, unmanned aerial vehicle (UAV) has great potential in post-disaster rescue, cargo transport and emergency communication. Considering its limited onboard energy, energy-efficient UAV communication is a challenge. This research examines the security of </span></span>simultaneous wireless information and power transfer<span><span><span> (SWIPT) systems assisted by intelligent reflecting surfaces<span><span><span> (IRS) and UAVs while considering the flight energy of rotary-wing UAVs. Specifically, an IRS is mounted on a UAV to enhance the quality of legitimate transmission, and artificial noise (AN) is introduced into the base station (BS) to reduce eavesdropping quality. The power splitting (PS) technology is adopted at ground devices (GDs) to simultaneously decode information and harvest energy. First, we jointly design the BS transmit </span>beamforming, UAV-IRS phase shifts and trajectory/velocity as well as GDs </span>PS ratio with the aim of maximizing the sum secrecy rate of all GDs. Then, an </span></span>iterative algorithm is developed to address the formulated problem. In particular, additional variables are introduced to handle this complicated objective function, and the original problem is decoupled into multiple sub-problems, which can be solved alternately by invoking the successive convex </span>approximation (SCA) and semidefinite relaxation (SDR) techniques. Finally, numerical results demonstrate that the proposed scheme exhibits a substantial performance in the security rate of SWIPT systems assisted by UAV-IRS, and its performance is improved by at least 12% compared to benchmark schemes at the flight energy budget </span></span><span><math><msub><mrow><mi>e</mi></mrow><mrow><mi>t</mi><mi>h</mi><mi>r</mi></mrow></msub><mo>=</mo><mn>5</mn><mi>K</mi><mi>J</mi></math></span> and the number of reflecting elements <span><math><msup><mrow><mi>N</mi></mrow><mrow><mi>r</mi></mrow></msup><mo>=</mo><mn>25</mn></math></span>.</p></div>","PeriodicalId":54346,"journal":{"name":"Vehicular Communications","volume":null,"pages":null},"PeriodicalIF":6.7,"publicationDate":"2024-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139076778","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Elastic Gateway SoC design: A HW-centric architecture for inline In-Vehicle Network processing","authors":"Angela González Mariño ,&nbsp;Francesc Fons ,&nbsp;Juan Manuel Moreno Arostegui","doi":"10.1016/j.vehcom.2023.100721","DOIUrl":"10.1016/j.vehcom.2023.100721","url":null,"abstract":"<div><p>The concepts of future mobility such as autonomous, connected, electric and shared vehicles are bringing a huge revolution to the automotive sector<span>. We are seeing technologies typical from data centers fully embedded into vehicles, shifting from a mechanical-centric product, to an electronics-centric one. All the sensors and actuators embedded in vehicles need to exchange data in real time, in a safe and reliable way. As a result, the field of in-vehicle network (IVN) processing is currently an active research area. In previous work, we derived the requirements of future vehicle network processors and analyzed the state of the art of network processing platforms. From our study we concluded that there is currently no solution available capable of fulfilling all the requirements with the right level of performance. Now, in this work, we evaluate the novel Elastic Gateway (eGW) architecture which aims at fulfilling this gap, advancing towards future Gateway System/Network on Chip (SoC/NoC) solutions. Elastic Gateway SoC<span><span> concept aims at synthesizing a scalable and future proof architecture embracing all new and already established functions and features demanded in a zonal gateway controller for the new era of mobility. It is composed of a set of configurable IP cores that allow for a full HW-based </span>datapath implementation targeting good enough Quality of Service (QoS) and the minimum possible latency. We provide details of the internal architecture and how the different technologies required in future IVNs are integrated in eGW. With this, we are able to show how eGW meets the requirements of future network processing devices, enabling thus the current revolution.</span></span></p></div>","PeriodicalId":54346,"journal":{"name":"Vehicular Communications","volume":null,"pages":null},"PeriodicalIF":6.7,"publicationDate":"2023-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139050988","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Mobility and dependency-aware task offloading for intelligent assisted driving in vehicular edge computing networks","authors":"Yuan Li ,&nbsp;Chao Yang ,&nbsp;Xin Chen ,&nbsp;Yi Liu","doi":"10.1016/j.vehcom.2023.100720","DOIUrl":"10.1016/j.vehcom.2023.100720","url":null,"abstract":"<div><p><span><span><span>Intelligent assisted driving is an important application in vehicular edge computing networks (VECNs). In the </span>intelligent transportation system<span> (ITS), a group of moving vehicle users need to be coordinated to complete complex vehicular applications. A number of dependent, latency-sensitive, and computation-intensive tasks are generated. However, the existing works have given less consideration to the dependencies among both vehicle users and the subtasks in vehicle, which makes it a huge challenge to complete tasks timely. When interdependent tasks come from different vehicle users, a special task preparation time is needed, which can disrupt the ongoing task processing. Furthermore, the high mobility of vehicles directly affects the </span></span>data transmission rate<span>. To address the mentioned challenges, we design an efficient mobility and dependency-aware task offloading strategy in VECNs. The objective is to minimize both the overall system task completion delay and the economic cost. We take into account the real-time locations and task preparation time of vehicle users. Additionally, we propose a </span></span><u>m</u>ulti-<u>d</u>ecision-making <u>o</u>ffloading <u>a</u>lgorithm (MDOA) that primarily analyzes the processing priorities for both vehicle users and subtasks. In order to integrate practical applications, the financial expenses of vehicle users are also considered as an indispensable part. As a result, we propose an efficient two-step task offloading algorithm. Through numerous simulation examples, we demonstrate the efficiency and high performance of the proposed task offloading strategies in VECNs when compared to existing algorithms.</p></div>","PeriodicalId":54346,"journal":{"name":"Vehicular Communications","volume":null,"pages":null},"PeriodicalIF":6.7,"publicationDate":"2023-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139059893","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Narrow band of vehicular things communication system using hybrid pelican-beetle swarm optimization approach for intelligent transportation system","authors":"M. Vinodhini,&nbsp;Sujatha Rajkumar","doi":"10.1016/j.vehcom.2023.100723","DOIUrl":"10.1016/j.vehcom.2023.100723","url":null,"abstract":"<div><p><span><span>Congestion is caused by the continually expanding number of vehicles worldwide. Intelligent Transportation Systems (ITSs) could be used to build a system that efficiently uses the existing infrastructure and current technological advancements. Several </span>Vehicular applications use the restricted vehicle </span>battery<span><span><span> in V2X systems, and a key concern is communication secrecy. Earlier research has focused on channel measurement, autonomous piloting, high-speed transmissions, secretive communications, and QoS analysis but battery-limited V2X has received far less attention. Therefore, resolving the abovementioned complications in the current model is imperative. Thus, a new V2X communication model is developed based on NB-IoT (NarrowBand Internet of Things) approaches. NB -IoT is utilized in the V2X communication model to offer low-cost, high-range, and minimal power to the communication environment. The objective of the proposed NarrowBand of Vehicular Things Communication (NBVTCS)System is to analyze the performance metrics of </span>vehicular communication including energy efficiency rate with different SNR, bit error rate with different vehicular positions, and overall throughput of the system. The simulation was carried out to attain an effective energy efficiency rate, the system's transmit power, bit error rate, and overall system throughput. The proposed vehicular architecture also optimized the abovementioned vehicular metrics with the help of the proposed Hybrid Pelican Beetle Swarm Optimization (HPBSO) approach to achieve a higher accuracy in communication parameters. Finally, the </span>simulation outcome<span> demonstrates that the developed vehicular model is achieved with a minimal energy consumption rate and maximum throughput and also compares the proposed HPBSO technique with other optimization techniques including DOX, EFO, POA, and BSO.</span></span></p></div>","PeriodicalId":54346,"journal":{"name":"Vehicular Communications","volume":null,"pages":null},"PeriodicalIF":6.7,"publicationDate":"2023-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139041522","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}