题目：Evolutionary computing and optimization of Wireless Sensor Networks
报告人：李超群
时间：2022年6月1日17:40-19:10
地点：绿2-303
腾讯会议号：438-2370-8414
报告人简介
李超群，男，中共党员，研究生团支部组织委员，两年企业级软件开发经历。2019年于河南大学获得软件工程专业工学学士学位，现于BET体育365投注官网攻读电子信息专业硕士学位。读研期间于2021年获“BET体育365投注官网学业奖学金一等奖”，“优秀共青团干部”，“优秀研究生干部”，“疫情防控工作先进个人”。 学科竞赛方面，于2021年 获“蓝桥杯研究生组 三等奖”，“华为杯 第十八届中国研究生数学建模竞赛 二等奖”，作品“区块链与智慧农业溯源平台”获得第十六届研究生电子设计竞赛 三等奖。研究生期间主要研究方向为群体智能，进化计算及物联网、区块链应用，其中研究成果以第一作者在中科院一区Top期刊IEEE Internet of Things Journal (IF:9.471) 上发表论文1篇，在Future Generation Computer Systems (IF:7.187)、Journal of Sensors、Journal of Advanced Transportation、AIACT、ICIBA等学术期刊及会议上发表论文6篇。担任IEEE Internet of Things Journal、Computer Networks等国际期刊审稿人。申请国家发明专利8项，其中3项已进入实质审查，获得软件著作软3项。
内容摘要
With the rapid development of wireless communication technology, wireless sensor networks (WSNs) have begun to spread all over the world. The coverage capability of WSN is directly related to the perceived performance of the network in the monitoring area. Excellent coverage control can not only better complete sensing tasks and target monitoring, but also reduce energy consumption and effectively prolong network life. Therefore, in the coverage control, it is very important for the performance of the wireless sensor network to formulate an appropriate target or area monitoring scheme, topology control scheme and node rotation sequence for the monitoring task. Due to the complexity of the problem, the introduction of evolutionary computing method can solve the problem better. This report mainly introduces the research content from the mathematical model of WSN, the applied optimization algorithm, etc., and makes an outlook on the development of WSN and evolutionary computing. In addition, the report will also share some small scientific research and paper writing experiences.
