2019 15th International Conference on Mobile Ad-Hoc and Sensor Networks (MSN)最新文献

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A Deep Reinforcement Learning Approach to Multi-Component Job Scheduling in Edge Computing 边缘计算中多组件作业调度的深度强化学习方法
2019 15th International Conference on Mobile Ad-Hoc and Sensor Networks (MSN) Pub Date : 2019-08-26 DOI: 10.1109/MSN48538.2019.00018
Zhi Cao, Honggang Zhang, Benyuan Liu
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引用次数: 5
Non-Cooperative Aerial Base Station Placement via Stochastic Optimization 基于随机优化的非合作空中基站布局
2019 15th International Conference on Mobile Ad-Hoc and Sensor Networks (MSN) Pub Date : 2019-05-10 DOI: 10.1109/MSN48538.2019.00036
Daniel Romero, G. Leus
{"title":"Non-Cooperative Aerial Base Station Placement via Stochastic Optimization","authors":"Daniel Romero, G. Leus","doi":"10.1109/MSN48538.2019.00036","DOIUrl":"https://doi.org/10.1109/MSN48538.2019.00036","url":null,"abstract":"Autonomous unmanned aerial vehicles (UAVs) with on-board base station equipment can potentially provide connectivity in areas where the terrestrial infrastructure is overloaded, damaged, or absent. Use cases comprise emergency response, wildfire suppression, surveillance, and cellular communications in crowded events to name a few. A central problem to enable this technology is to place such aerial base stations (AirBSs) in locations that approximately optimize the relevant communication metrics. To alleviate the limitations of existing algorithms, which require intensive and reliable communications among AirBSs or between the AirBSs and a central controller, this paper leverages stochastic optimization and machine learning techniques to put forth an adaptive and decentralized algorithm for AirBS placement without inter-AirBS cooperation or communication. The approach relies on a smart design of the network utility function and on a stochastic gradient ascent iteration that can be evaluated with information available in practical scenarios. To complement the theoretical convergence properties, a simulation study corroborates the effectiveness of the proposed scheme.","PeriodicalId":368318,"journal":{"name":"2019 15th International Conference on Mobile Ad-Hoc and Sensor Networks (MSN)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130333227","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 9
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