{"title":"WSN的动态混合资源调度","authors":"Hongying Bai, Xiaotong Zhang","doi":"10.1109/IWECAI50956.2020.00022","DOIUrl":null,"url":null,"abstract":"Dynamic adaptability of resource scheduling in Wireless Sensor Networks (WSN) is required due to the limited energy of sensor nodes and impact of harsh environment. In this paper, considering the dynamic changes of network topology and energy saving, combined with the advantages of centralized and distributed resource scheduling, a new Dynamic Hybrid Resource Scheduling (DHRS) for WSN is proposed. In the early stage of network running, we apply centralized scheduling. In the later period of network operation, sensor nodes are failed frequently and the topology changes dynamically. When Dynamic Change Factor (DCF) exceeds threshold, we apply distributed resource scheduling. The simulation results show that the DHRS can dynamically adapt to topology changes, reduce energy consumption of nodes, and extend the life cycle of WSN.","PeriodicalId":364789,"journal":{"name":"2020 International Workshop on Electronic Communication and Artificial Intelligence (IWECAI)","volume":"70 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Dynamic Hybrid Resource Scheduling for WSN\",\"authors\":\"Hongying Bai, Xiaotong Zhang\",\"doi\":\"10.1109/IWECAI50956.2020.00022\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Dynamic adaptability of resource scheduling in Wireless Sensor Networks (WSN) is required due to the limited energy of sensor nodes and impact of harsh environment. In this paper, considering the dynamic changes of network topology and energy saving, combined with the advantages of centralized and distributed resource scheduling, a new Dynamic Hybrid Resource Scheduling (DHRS) for WSN is proposed. In the early stage of network running, we apply centralized scheduling. In the later period of network operation, sensor nodes are failed frequently and the topology changes dynamically. When Dynamic Change Factor (DCF) exceeds threshold, we apply distributed resource scheduling. The simulation results show that the DHRS can dynamically adapt to topology changes, reduce energy consumption of nodes, and extend the life cycle of WSN.\",\"PeriodicalId\":364789,\"journal\":{\"name\":\"2020 International Workshop on Electronic Communication and Artificial Intelligence (IWECAI)\",\"volume\":\"70 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 International Workshop on Electronic Communication and Artificial Intelligence (IWECAI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IWECAI50956.2020.00022\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 International Workshop on Electronic Communication and Artificial Intelligence (IWECAI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IWECAI50956.2020.00022","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Dynamic adaptability of resource scheduling in Wireless Sensor Networks (WSN) is required due to the limited energy of sensor nodes and impact of harsh environment. In this paper, considering the dynamic changes of network topology and energy saving, combined with the advantages of centralized and distributed resource scheduling, a new Dynamic Hybrid Resource Scheduling (DHRS) for WSN is proposed. In the early stage of network running, we apply centralized scheduling. In the later period of network operation, sensor nodes are failed frequently and the topology changes dynamically. When Dynamic Change Factor (DCF) exceeds threshold, we apply distributed resource scheduling. The simulation results show that the DHRS can dynamically adapt to topology changes, reduce energy consumption of nodes, and extend the life cycle of WSN.