{"title":"智慧城市的移动资源:传感、通信、计算、存储和智能大融合的颠覆性视角","authors":"Yuguang Fang, Yiqin Deng, Xianhao Chen","doi":"arxiv-2409.09417","DOIUrl":null,"url":null,"abstract":"The most commonly seen things on streets in any city are vehicles. However,\nmost of them are used to transport people or goods. What if they also carry\nresources and capabilities for sensing, communications, computing, storage, and\nintelligence (SCCSI)? We will have a web of sensors to monitor the city, a\nnetwork of powerful communicators to transport data around, a grid of computing\npower to conduct data analytics and machine learning (ML), a network of\ndistributed storage to buffer/cache data/job for optimization, and a set of\nmovable AI/ML toolboxes made available for specialized smart applications. This\nperspective article presents how to leverage SCCSI-empowered vehicles to design\nsuch a service network, simply called SCCSI network, to help build a smart city\nwith a cost-effective and sustainable solution. It showcases how\nmulti-dimensional technologies, namely, sensing, communications, computing,\nstorage, and intelligence, converge to a unifying technology to solve grand\nchallenges for resource demands from emerging large-scale applications. Thus,\nwith SCCSI-empowered vehicles on the ground, over the air, and on the sea,\nSCCSI network can make resources and capabilities on the move, practically\npushing SCCSI services to the edge! We hope this article serves as a spark to\nstimulate more disruptive thinking to address grand challenges of paramount\nimportance.","PeriodicalId":501280,"journal":{"name":"arXiv - CS - Networking and Internet Architecture","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Resources on the Move for Smart City: A Disruptive Perspective on the Grand Convergence of Sensing, Communications, Computing, Storage, and Intelligence\",\"authors\":\"Yuguang Fang, Yiqin Deng, Xianhao Chen\",\"doi\":\"arxiv-2409.09417\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The most commonly seen things on streets in any city are vehicles. However,\\nmost of them are used to transport people or goods. What if they also carry\\nresources and capabilities for sensing, communications, computing, storage, and\\nintelligence (SCCSI)? We will have a web of sensors to monitor the city, a\\nnetwork of powerful communicators to transport data around, a grid of computing\\npower to conduct data analytics and machine learning (ML), a network of\\ndistributed storage to buffer/cache data/job for optimization, and a set of\\nmovable AI/ML toolboxes made available for specialized smart applications. This\\nperspective article presents how to leverage SCCSI-empowered vehicles to design\\nsuch a service network, simply called SCCSI network, to help build a smart city\\nwith a cost-effective and sustainable solution. It showcases how\\nmulti-dimensional technologies, namely, sensing, communications, computing,\\nstorage, and intelligence, converge to a unifying technology to solve grand\\nchallenges for resource demands from emerging large-scale applications. Thus,\\nwith SCCSI-empowered vehicles on the ground, over the air, and on the sea,\\nSCCSI network can make resources and capabilities on the move, practically\\npushing SCCSI services to the edge! We hope this article serves as a spark to\\nstimulate more disruptive thinking to address grand challenges of paramount\\nimportance.\",\"PeriodicalId\":501280,\"journal\":{\"name\":\"arXiv - CS - Networking and Internet Architecture\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-09-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"arXiv - CS - Networking and Internet Architecture\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/arxiv-2409.09417\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - CS - Networking and Internet Architecture","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2409.09417","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Resources on the Move for Smart City: A Disruptive Perspective on the Grand Convergence of Sensing, Communications, Computing, Storage, and Intelligence
The most commonly seen things on streets in any city are vehicles. However,
most of them are used to transport people or goods. What if they also carry
resources and capabilities for sensing, communications, computing, storage, and
intelligence (SCCSI)? We will have a web of sensors to monitor the city, a
network of powerful communicators to transport data around, a grid of computing
power to conduct data analytics and machine learning (ML), a network of
distributed storage to buffer/cache data/job for optimization, and a set of
movable AI/ML toolboxes made available for specialized smart applications. This
perspective article presents how to leverage SCCSI-empowered vehicles to design
such a service network, simply called SCCSI network, to help build a smart city
with a cost-effective and sustainable solution. It showcases how
multi-dimensional technologies, namely, sensing, communications, computing,
storage, and intelligence, converge to a unifying technology to solve grand
challenges for resource demands from emerging large-scale applications. Thus,
with SCCSI-empowered vehicles on the ground, over the air, and on the sea,
SCCSI network can make resources and capabilities on the move, practically
pushing SCCSI services to the edge! We hope this article serves as a spark to
stimulate more disruptive thinking to address grand challenges of paramount
importance.