{"title":"基于节能自适应位映射的VANETs无冲突MAC协议","authors":"Manoj Tolani, K Tushar Vikash, Pankaj Kumar","doi":"10.1049/itr2.70026","DOIUrl":null,"url":null,"abstract":"<p>In the present work, an energy-efficient medium access control (MAC) protocol is proposed for the adaptive data traffic condition in VANET. The proposed adaptive collision free MAC-bit map assisted (ACFM-BMA) protocol represents a significant advancement in vehicular communication systems by integrating strategies focused on electric vehicle (EV) battery levels and buffer status. This protocol optimizes communication efficiency and energy conservation through a holistic approach that considers the dynamic nature of both the vehicles' energy resources and their data buffering capabilities. By incorporating real-time data about EV battery levels, the protocol ensures that communication tasks are scheduled in a manner that conserves energy, extending the operational lifespan of vehicles in the network. Additionally, the protocol takes into account the buffer status of each vehicle, preventing data congestion and loss and enhancing the reliability of data transmission. The integration of battery and buffer status information enables more efficient use of the communication channel, reducing idle times and improving overall throughput. The performance of the proposed method is analyzed based on overall vehicle density, the number of vehicles generating periodic data traffic, and the event occurrence probability of vehicles generating event data traffic. Three different scenarios are considered: low, medium, and high data traffic, corresponding to varying numbers of vehicles. The results demonstrate that the proposed method significantly conserves energy across all scenarios.</p>","PeriodicalId":50381,"journal":{"name":"IET Intelligent Transport Systems","volume":"19 1","pages":""},"PeriodicalIF":2.3000,"publicationDate":"2025-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/itr2.70026","citationCount":"0","resultStr":"{\"title\":\"Energy Efficient Adaptive Bit-Mapping Based Collision-Free MAC Protocol for VANETs\",\"authors\":\"Manoj Tolani, K Tushar Vikash, Pankaj Kumar\",\"doi\":\"10.1049/itr2.70026\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>In the present work, an energy-efficient medium access control (MAC) protocol is proposed for the adaptive data traffic condition in VANET. The proposed adaptive collision free MAC-bit map assisted (ACFM-BMA) protocol represents a significant advancement in vehicular communication systems by integrating strategies focused on electric vehicle (EV) battery levels and buffer status. This protocol optimizes communication efficiency and energy conservation through a holistic approach that considers the dynamic nature of both the vehicles' energy resources and their data buffering capabilities. By incorporating real-time data about EV battery levels, the protocol ensures that communication tasks are scheduled in a manner that conserves energy, extending the operational lifespan of vehicles in the network. Additionally, the protocol takes into account the buffer status of each vehicle, preventing data congestion and loss and enhancing the reliability of data transmission. The integration of battery and buffer status information enables more efficient use of the communication channel, reducing idle times and improving overall throughput. The performance of the proposed method is analyzed based on overall vehicle density, the number of vehicles generating periodic data traffic, and the event occurrence probability of vehicles generating event data traffic. Three different scenarios are considered: low, medium, and high data traffic, corresponding to varying numbers of vehicles. The results demonstrate that the proposed method significantly conserves energy across all scenarios.</p>\",\"PeriodicalId\":50381,\"journal\":{\"name\":\"IET Intelligent Transport Systems\",\"volume\":\"19 1\",\"pages\":\"\"},\"PeriodicalIF\":2.3000,\"publicationDate\":\"2025-04-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://onlinelibrary.wiley.com/doi/epdf/10.1049/itr2.70026\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IET Intelligent Transport Systems\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1049/itr2.70026\",\"RegionNum\":4,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ENGINEERING, ELECTRICAL & ELECTRONIC\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IET Intelligent Transport Systems","FirstCategoryId":"5","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1049/itr2.70026","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
Energy Efficient Adaptive Bit-Mapping Based Collision-Free MAC Protocol for VANETs
In the present work, an energy-efficient medium access control (MAC) protocol is proposed for the adaptive data traffic condition in VANET. The proposed adaptive collision free MAC-bit map assisted (ACFM-BMA) protocol represents a significant advancement in vehicular communication systems by integrating strategies focused on electric vehicle (EV) battery levels and buffer status. This protocol optimizes communication efficiency and energy conservation through a holistic approach that considers the dynamic nature of both the vehicles' energy resources and their data buffering capabilities. By incorporating real-time data about EV battery levels, the protocol ensures that communication tasks are scheduled in a manner that conserves energy, extending the operational lifespan of vehicles in the network. Additionally, the protocol takes into account the buffer status of each vehicle, preventing data congestion and loss and enhancing the reliability of data transmission. The integration of battery and buffer status information enables more efficient use of the communication channel, reducing idle times and improving overall throughput. The performance of the proposed method is analyzed based on overall vehicle density, the number of vehicles generating periodic data traffic, and the event occurrence probability of vehicles generating event data traffic. Three different scenarios are considered: low, medium, and high data traffic, corresponding to varying numbers of vehicles. The results demonstrate that the proposed method significantly conserves energy across all scenarios.
期刊介绍:
IET Intelligent Transport Systems is an interdisciplinary journal devoted to research into the practical applications of ITS and infrastructures. The scope of the journal includes the following:
Sustainable traffic solutions
Deployments with enabling technologies
Pervasive monitoring
Applications; demonstrations and evaluation
Economic and behavioural analyses of ITS services and scenario
Data Integration and analytics
Information collection and processing; image processing applications in ITS
ITS aspects of electric vehicles
Autonomous vehicles; connected vehicle systems;
In-vehicle ITS, safety and vulnerable road user aspects
Mobility as a service systems
Traffic management and control
Public transport systems technologies
Fleet and public transport logistics
Emergency and incident management
Demand management and electronic payment systems
Traffic related air pollution management
Policy and institutional issues
Interoperability, standards and architectures
Funding scenarios
Enforcement
Human machine interaction
Education, training and outreach
Current Special Issue Call for papers:
Intelligent Transportation Systems in Smart Cities for Sustainable Environment - https://digital-library.theiet.org/files/IET_ITS_CFP_ITSSCSE.pdf
Sustainably Intelligent Mobility (SIM) - https://digital-library.theiet.org/files/IET_ITS_CFP_SIM.pdf
Traffic Theory and Modelling in the Era of Artificial Intelligence and Big Data (in collaboration with World Congress for Transport Research, WCTR 2019) - https://digital-library.theiet.org/files/IET_ITS_CFP_WCTR.pdf