{"title":"使用正交频分复用技术在无线传感器网络中进行基于中继的资源分配","authors":"M. Prabhu, B. Muthu Kumar","doi":"10.1007/s11277-024-11347-1","DOIUrl":null,"url":null,"abstract":"<p>OFDM is superior technique in wireless sensor networks with low power consumption. Channel estimation modelling for low power wireless access might lead to exclusive access of transmission leading to failure of an augmented path. The proposed work models the channel where in intricate scenario of interference, error in carrier frequency offset the possibility to counter sensor data is being initiated from source sensor. The proposed work incorporates residual network architecture and uses two paths for considering a flow from source to sink. The first main path estimates the channel between source and relay then between relay and penultimate node to sink with the objective of minimizing the carrier frequency offset error. Second skip connection estimate the direct forwarding from source to penultimate node to sink for calculating the residual block characteristics. Thus the simulation work shows the proposed Residual Neural Network based OFDM achieves superiority is balancing every flow and superiority than conventional OFDM technique.</p>","PeriodicalId":23827,"journal":{"name":"Wireless Personal Communications","volume":"56 1","pages":""},"PeriodicalIF":1.9000,"publicationDate":"2024-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Relay Based Resource Allocation in Wireless Sensor Networks Using Orthogonal Frequency Division Multiplexing\",\"authors\":\"M. Prabhu, B. Muthu Kumar\",\"doi\":\"10.1007/s11277-024-11347-1\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>OFDM is superior technique in wireless sensor networks with low power consumption. Channel estimation modelling for low power wireless access might lead to exclusive access of transmission leading to failure of an augmented path. The proposed work models the channel where in intricate scenario of interference, error in carrier frequency offset the possibility to counter sensor data is being initiated from source sensor. The proposed work incorporates residual network architecture and uses two paths for considering a flow from source to sink. The first main path estimates the channel between source and relay then between relay and penultimate node to sink with the objective of minimizing the carrier frequency offset error. Second skip connection estimate the direct forwarding from source to penultimate node to sink for calculating the residual block characteristics. Thus the simulation work shows the proposed Residual Neural Network based OFDM achieves superiority is balancing every flow and superiority than conventional OFDM technique.</p>\",\"PeriodicalId\":23827,\"journal\":{\"name\":\"Wireless Personal Communications\",\"volume\":\"56 1\",\"pages\":\"\"},\"PeriodicalIF\":1.9000,\"publicationDate\":\"2024-07-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Wireless Personal Communications\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://doi.org/10.1007/s11277-024-11347-1\",\"RegionNum\":4,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"TELECOMMUNICATIONS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Wireless Personal Communications","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.1007/s11277-024-11347-1","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"TELECOMMUNICATIONS","Score":null,"Total":0}
Relay Based Resource Allocation in Wireless Sensor Networks Using Orthogonal Frequency Division Multiplexing
OFDM is superior technique in wireless sensor networks with low power consumption. Channel estimation modelling for low power wireless access might lead to exclusive access of transmission leading to failure of an augmented path. The proposed work models the channel where in intricate scenario of interference, error in carrier frequency offset the possibility to counter sensor data is being initiated from source sensor. The proposed work incorporates residual network architecture and uses two paths for considering a flow from source to sink. The first main path estimates the channel between source and relay then between relay and penultimate node to sink with the objective of minimizing the carrier frequency offset error. Second skip connection estimate the direct forwarding from source to penultimate node to sink for calculating the residual block characteristics. Thus the simulation work shows the proposed Residual Neural Network based OFDM achieves superiority is balancing every flow and superiority than conventional OFDM technique.
期刊介绍:
The Journal on Mobile Communication and Computing ...
Publishes tutorial, survey, and original research papers addressing mobile communications and computing;
Investigates theoretical, engineering, and experimental aspects of radio communications, voice, data, images, and multimedia;
Explores propagation, system models, speech and image coding, multiple access techniques, protocols, performance evaluation, radio local area networks, and networking and architectures, etc.;
98% of authors who answered a survey reported that they would definitely publish or probably publish in the journal again.
Wireless Personal Communications is an archival, peer reviewed, scientific and technical journal addressing mobile communications and computing. It investigates theoretical, engineering, and experimental aspects of radio communications, voice, data, images, and multimedia. A partial list of topics included in the journal is: propagation, system models, speech and image coding, multiple access techniques, protocols performance evaluation, radio local area networks, and networking and architectures.
In addition to the above mentioned areas, the journal also accepts papers that deal with interdisciplinary aspects of wireless communications along with: big data and analytics, business and economy, society, and the environment.
The journal features five principal types of papers: full technical papers, short papers, technical aspects of policy and standardization, letters offering new research thoughts and experimental ideas, and invited papers on important and emerging topics authored by renowned experts.