IEEE-Internet-of-Things-Journal-master.7z

上传者: 39837213 | 上传时间: 2021-04-09 13:01:47 | 文件大小: 4.47MB | 文件类型: 7Z
主要包括了移动众包中,移动工人和请求者的选择,匹配问题,匹配分别用到了贪婪算法,匈牙利算法和论文所提出的算法,对所提出的机制分别进行了一次拍卖和多轮拍卖,证明了所提出机制的有效性

文件下载

资源详情

[{"title":"( 71 个子文件 4.47MB ) IEEE-Internet-of-Things-Journal-master.7z","children":[{"title":"IEEE-Internet-of-Things-Journal-master","children":[{"title":"platforms.py <span style='color:#111;'> 7.31KB </span>","children":null,"spread":false},{"title":"functions.py <span style='color:#111;'> 9.34KB </span>","children":null,"spread":false},{"title":"task.py <span style='color:#111;'> 1.75KB </span>","children":null,"spread":false},{"title":"reselection_multiple_round.py <span style='color:#111;'> 11.87KB </span>","children":null,"spread":false},{"title":"capacity_run.py <span style='color:#111;'> 7.59KB </span>","children":null,"spread":false},{"title":"reselection_visualization.py <span style='color:#111;'> 4.30KB </span>","children":null,"spread":false},{"title":"parameter_visualization.py <span style='color:#111;'> 6.28KB </span>","children":null,"spread":false},{"title":"capacity_visualization.py <span style='color:#111;'> 5.54KB </span>","children":null,"spread":false},{"title":"provider.py <span style='color:#111;'> 1.30KB </span>","children":null,"spread":false},{"title":"data","children":[{"title":"optimal","children":[{"title":"optimal_result.p <span style='color:#111;'> 29.87KB </span>","children":null,"spread":false}],"spread":true},{"title":"parameter","children":[{"title":"new_parameter_result.p <span style='color:#111;'> 799.84KB </span>","children":null,"spread":false},{"title":"parameter_result.p <span style='color:#111;'> 6.25MB </span>","children":null,"spread":false}],"spread":true},{"title":"capacity_result","children":[{"title":"new_capacity_result.p <span style='color:#111;'> 80.45KB </span>","children":null,"spread":false}],"spread":true},{"title":"reselection","children":[{"title":"new_reselection_result.p <span style='color:#111;'> 54.46KB </span>","children":null,"spread":false},{"title":"distribution_requester.npy <span style='color:#111;'> 464B </span>","children":null,"spread":false},{"title":"distribution_provider_2.npy <span style='color:#111;'> 1.70KB </span>","children":null,"spread":false},{"title":"distribution_requester_2.npy <span style='color:#111;'> 1.70KB </span>","children":null,"spread":false},{"title":"latest_reselection_result.p <span style='color:#111;'> 123.63KB </span>","children":null,"spread":false},{"title":"reselection_result_1.p <span style='color:#111;'> 550.87KB </span>","children":null,"spread":false},{"title":"distribution_requester_1.npy <span style='color:#111;'> 464B </span>","children":null,"spread":false},{"title":"reselection_distribution.npy <span style='color:#111;'> 144B </span>","children":null,"spread":false},{"title":"new_capacity_result.p <span style='color:#111;'> 37.27KB </span>","children":null,"spread":false},{"title":"distribution_provider_1.npy <span style='color:#111;'> 464B </span>","children":null,"spread":false},{"title":"distribution_provider_3.npy <span style='color:#111;'> 1.70KB </span>","children":null,"spread":false},{"title":"distribution_requester_3.npy <span style='color:#111;'> 1.70KB </span>","children":null,"spread":false},{"title":"distribution_provider.npy <span style='color:#111;'> 464B </span>","children":null,"spread":false},{"title":"latest_reselection_result_1.p <span style='color:#111;'> 54.46KB </span>","children":null,"spread":false},{"title":"reselection_result.p <span style='color:#111;'> 550.87KB </span>","children":null,"spread":false}],"spread":false}],"spread":true},{"title":"__pycache__","children":[{"title":"task.cpython-39.pyc <span style='color:#111;'> 1.43KB </span>","children":null,"spread":false},{"title":"provider.cpython-39.pyc <span style='color:#111;'> 1.34KB </span>","children":null,"spread":false},{"title":"functions.cpython-39.pyc <span style='color:#111;'> 5.15KB </span>","children":null,"spread":false},{"title":"platforms.cpython-39.pyc <span style='color:#111;'> 4.28KB </span>","children":null,"spread":false}],"spread":true},{"title":"small profits and qucik returns.pdf <span style='color:#111;'> 1.76MB </span>","children":null,"spread":false},{"title":"task_figure.py <span style='color:#111;'> 2.47KB </span>","children":null,"spread":false},{"title":"reselection.py <span style='color:#111;'> 10.42KB </span>","children":null,"spread":false},{"title":".idea","children":[{"title":"misc.xml <span style='color:#111;'> 199B </span>","children":null,"spread":false},{"title":"modules.xml <span style='color:#111;'> 335B </span>","children":null,"spread":false},{"title":"IEEE-Internet-of-Things-Journal-master.iml <span style='color:#111;'> 449B </span>","children":null,"spread":false},{"title":"workspace.xml <span style='color:#111;'> 7.57KB </span>","children":null,"spread":false},{"title":".gitignore <span style='color:#111;'> 50B </span>","children":null,"spread":false},{"title":"inspectionProfiles","children":[{"title":"profiles_settings.xml <span style='color:#111;'> 174B </span>","children":null,"spread":false}],"spread":false}],"spread":false},{"title":"parameter_run.py <span style='color:#111;'> 4.65KB </span>","children":null,"spread":false},{"title":"reselection_multiple_round_visualization.py <span style='color:#111;'> 1.10KB </span>","children":null,"spread":false},{"title":"optimal_run.py <span style='color:#111;'> 10.28KB </span>","children":null,"spread":false},{"title":"figure","children":[{"title":"running_time.pdf <span style='color:#111;'> 16.36KB </span>","children":null,"spread":false},{"title":"avg_req.pdf <span style='color:#111;'> 14.98KB </span>","children":null,"spread":false},{"title":"re_SW.pdf <span style='color:#111;'> 15.24KB </span>","children":null,"spread":false},{"title":"platform_2.pdf <span style='color:#111;'> 16.07KB </span>","children":null,"spread":false},{"title":"task_value.pdf <span style='color:#111;'> 18.50KB </span>","children":null,"spread":false},{"title":"platform.pdf <span style='color:#111;'> 18.32KB </span>","children":null,"spread":false},{"title":"3d_platform_pre.pdf <span style='color:#111;'> 16.23KB </span>","children":null,"spread":false},{"title":"expected.pdf <span style='color:#111;'> 13.07KB </span>","children":null,"spread":false},{"title":"re_avg_pro.pdf <span style='color:#111;'> 13.93KB </span>","children":null,"spread":false},{"title":"3d_avg_pro.pdf <span style='color:#111;'> 14.69KB </span>","children":null,"spread":false},{"title":"requester_probability.pdf <span style='color:#111;'> 16.21KB </span>","children":null,"spread":false},{"title":"new_SW.pdf <span style='color:#111;'> 14.83KB </span>","children":null,"spread":false},{"title":"avg_req_2.pdf <span style='color:#111;'> 15.86KB </span>","children":null,"spread":false},{"title":"re_platform.pdf <span style='color:#111;'> 18.34KB </span>","children":null,"spread":false},{"title":"SW_2.pdf <span style='color:#111;'> 15.35KB </span>","children":null,"spread":false},{"title":"provider_mu.eps <span style='color:#111;'> 31.10KB </span>","children":null,"spread":false},{"title":"3d_expected.pdf <span style='color:#111;'> 15.74KB </span>","children":null,"spread":false},{"title":"provider_mu.pdf <span style='color:#111;'> 18.09KB </span>","children":null,"spread":false},{"title":"SW.pdf <span style='color:#111;'> 15.23KB </span>","children":null,"spread":false},{"title":"avg_pro.pdf <span style='color:#111;'> 13.91KB </span>","children":null,"spread":false},{"title":"avg_pro_2.pdf <span style='color:#111;'> 14.97KB </span>","children":null,"spread":false},{"title":"3d_avg_req.pdf <span style='color:#111;'> 15.32KB </span>","children":null,"spread":false},{"title":"re_avg_req.pdf <span style='color:#111;'> 15.00KB </span>","children":null,"spread":false},{"title":"provider_probability.pdf <span style='color:#111;'> 14.53KB </span>","children":null,"spread":false}],"spread":false},{"title":"README.md <span style='color:#111;'> 1.92KB </span>","children":null,"spread":false},{"title":"optimal_visualization.py <span style='color:#111;'> 4.68KB </span>","children":null,"spread":false},{"title":"provider_figure.py <span style='color:#111;'> 2.39KB </span>","children":null,"spread":false}],"spread":false}],"spread":true}]

评论信息

免责申明

【只为小站】的资源来自网友分享,仅供学习研究,请务必在下载后24小时内给予删除,不得用于其他任何用途,否则后果自负。基于互联网的特殊性,【只为小站】 无法对用户传输的作品、信息、内容的权属或合法性、合规性、真实性、科学性、完整权、有效性等进行实质审查;无论 【只为小站】 经营者是否已进行审查,用户均应自行承担因其传输的作品、信息、内容而可能或已经产生的侵权或权属纠纷等法律责任。
本站所有资源不代表本站的观点或立场,基于网友分享,根据中国法律《信息网络传播权保护条例》第二十二条之规定,若资源存在侵权或相关问题请联系本站客服人员,zhiweidada#qq.com,请把#换成@,本站将给予最大的支持与配合,做到及时反馈和处理。关于更多版权及免责申明参见 版权及免责申明