{"title":"用于 M2M 通信的具有自适应 TDMA 功能的可扩展高能效 MAC 协议","authors":"Narender Reddy Kampelli, B. N. Bhandari","doi":"10.1007/s10586-024-04681-3","DOIUrl":null,"url":null,"abstract":"<p>Machine Type Communication Devices for Machine-to-Machine (M2M) communication in 5G cellular networks have issues with scalability, quality of service (QoS), collisions, and delays in data transmission. M2M connectivity has become prevalent in the Internet of Things. The suggested MAC protocol for M2M communication using adaptive TDMA was designed to be scalable and power-efficient. To address the problems of collision, quality of service and scalability in M2M communication by presenting a Power-efficient MAC switching protocol with Adaptive Time Division Multiple Access (PMAC-ATDMA). There are three phases to this: grouping, dynamic MAC switching, and time slot allocation. Optimization Technique: The usage of the adaptive k-means algorithm with the HHO method for selecting MTC heads based on their power status and proximity to enhance network efficiency and reduce collision. Hybrid MAC Protocol Design: A dynamic switching mechanism between CSMA/CA and Carrier Sense Multiple Access/Collision Avoidance Reservation Protocol (CSMA/CARP) based on network density and device activity, aiming to optimize collision handling and energy consumption. ATDMA assigns time slots that are used for data transmission based on the size of the data and QoS requirements. Traditional TDMA’s synchronization issue is solved by using the Markov chain model; this PMAC-ATDMA is simulated using a network simulator tool. Access delay, energy, collision likelihood, and successful packet transmissions are all taken into account throughout the evaluation process.</p>","PeriodicalId":501576,"journal":{"name":"Cluster Computing","volume":"41 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A scalable and power efficient MAC protocol with adaptive TDMA for M2M communication\",\"authors\":\"Narender Reddy Kampelli, B. N. Bhandari\",\"doi\":\"10.1007/s10586-024-04681-3\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>Machine Type Communication Devices for Machine-to-Machine (M2M) communication in 5G cellular networks have issues with scalability, quality of service (QoS), collisions, and delays in data transmission. M2M connectivity has become prevalent in the Internet of Things. The suggested MAC protocol for M2M communication using adaptive TDMA was designed to be scalable and power-efficient. To address the problems of collision, quality of service and scalability in M2M communication by presenting a Power-efficient MAC switching protocol with Adaptive Time Division Multiple Access (PMAC-ATDMA). There are three phases to this: grouping, dynamic MAC switching, and time slot allocation. Optimization Technique: The usage of the adaptive k-means algorithm with the HHO method for selecting MTC heads based on their power status and proximity to enhance network efficiency and reduce collision. Hybrid MAC Protocol Design: A dynamic switching mechanism between CSMA/CA and Carrier Sense Multiple Access/Collision Avoidance Reservation Protocol (CSMA/CARP) based on network density and device activity, aiming to optimize collision handling and energy consumption. ATDMA assigns time slots that are used for data transmission based on the size of the data and QoS requirements. Traditional TDMA’s synchronization issue is solved by using the Markov chain model; this PMAC-ATDMA is simulated using a network simulator tool. Access delay, energy, collision likelihood, and successful packet transmissions are all taken into account throughout the evaluation process.</p>\",\"PeriodicalId\":501576,\"journal\":{\"name\":\"Cluster Computing\",\"volume\":\"41 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-08-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Cluster Computing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1007/s10586-024-04681-3\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cluster Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1007/s10586-024-04681-3","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
5G 蜂窝网络中用于机器对机器(M2M)通信的机器型通信设备存在可扩展性、服务质量(QoS)、碰撞和数据传输延迟等问题。M2M 连接在物联网中已变得十分普遍。建议使用自适应 TDMA 的 M2M 通信 MAC 协议旨在实现可扩展性和高能效。为了解决 M2M 通信中的碰撞、服务质量和可扩展性问题,提出了一种具有自适应时分多址(PMAC-ATDMA)的高能效 MAC 交换协议。该协议分为三个阶段:分组、动态 MAC 切换和时隙分配。优化技术:使用自适应 k-means 算法和 HHO 方法,根据功率状态和邻近程度选择 MTC 头,以提高网络效率并减少碰撞。混合 MAC 协议设计:根据网络密度和设备活动,在 CSMA/CA 和载波侦测多路访问/避免碰撞保留协议(CSMA/CARP)之间建立动态切换机制,旨在优化碰撞处理和能耗。ATDMA 根据数据大小和 QoS 要求分配用于数据传输的时隙。传统 TDMA 的同步问题通过使用马尔科夫链模型来解决;而 PMAC-ATDMA 则使用网络模拟工具进行模拟。在整个评估过程中,访问延迟、能量、碰撞可能性和数据包传输成功率都被考虑在内。
A scalable and power efficient MAC protocol with adaptive TDMA for M2M communication
Machine Type Communication Devices for Machine-to-Machine (M2M) communication in 5G cellular networks have issues with scalability, quality of service (QoS), collisions, and delays in data transmission. M2M connectivity has become prevalent in the Internet of Things. The suggested MAC protocol for M2M communication using adaptive TDMA was designed to be scalable and power-efficient. To address the problems of collision, quality of service and scalability in M2M communication by presenting a Power-efficient MAC switching protocol with Adaptive Time Division Multiple Access (PMAC-ATDMA). There are three phases to this: grouping, dynamic MAC switching, and time slot allocation. Optimization Technique: The usage of the adaptive k-means algorithm with the HHO method for selecting MTC heads based on their power status and proximity to enhance network efficiency and reduce collision. Hybrid MAC Protocol Design: A dynamic switching mechanism between CSMA/CA and Carrier Sense Multiple Access/Collision Avoidance Reservation Protocol (CSMA/CARP) based on network density and device activity, aiming to optimize collision handling and energy consumption. ATDMA assigns time slots that are used for data transmission based on the size of the data and QoS requirements. Traditional TDMA’s synchronization issue is solved by using the Markov chain model; this PMAC-ATDMA is simulated using a network simulator tool. Access delay, energy, collision likelihood, and successful packet transmissions are all taken into account throughout the evaluation process.