{"title":"利用遗传算法提高无线传感器网络的生存期","authors":"Hadeel Alazzam, W. Almobaideen","doi":"10.1109/IACS.2019.8809109","DOIUrl":null,"url":null,"abstract":"Selecting the localization of sensors in Wireless Sensor Networks (WSNs) is a big challenge, especially in a wide area. In this paper, a new method is proposed to place sensors using hybrid approach where a large portion of sensors is distributed randomly, while a smaller portion of about 10% of the total number of sensors is distributed in a managed way based on the results of a genetic searching algorithm. Two fitness functions are used for comparison purposes, and Omnet++ simulator was used to conduct the experiment designed to evaluate the proposed method effect on the lifetime of the WSN. Results show that the proposed method increases the lifetime and the throughput of WSN significantly.","PeriodicalId":225697,"journal":{"name":"2019 10th International Conference on Information and Communication Systems (ICICS)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"Enhancing The Lifetime of Wireless Sensor Network using Genetic Algorithm\",\"authors\":\"Hadeel Alazzam, W. Almobaideen\",\"doi\":\"10.1109/IACS.2019.8809109\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Selecting the localization of sensors in Wireless Sensor Networks (WSNs) is a big challenge, especially in a wide area. In this paper, a new method is proposed to place sensors using hybrid approach where a large portion of sensors is distributed randomly, while a smaller portion of about 10% of the total number of sensors is distributed in a managed way based on the results of a genetic searching algorithm. Two fitness functions are used for comparison purposes, and Omnet++ simulator was used to conduct the experiment designed to evaluate the proposed method effect on the lifetime of the WSN. Results show that the proposed method increases the lifetime and the throughput of WSN significantly.\",\"PeriodicalId\":225697,\"journal\":{\"name\":\"2019 10th International Conference on Information and Communication Systems (ICICS)\",\"volume\":\"23 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-06-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 10th International Conference on Information and Communication Systems (ICICS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IACS.2019.8809109\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 10th International Conference on Information and Communication Systems (ICICS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IACS.2019.8809109","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Enhancing The Lifetime of Wireless Sensor Network using Genetic Algorithm
Selecting the localization of sensors in Wireless Sensor Networks (WSNs) is a big challenge, especially in a wide area. In this paper, a new method is proposed to place sensors using hybrid approach where a large portion of sensors is distributed randomly, while a smaller portion of about 10% of the total number of sensors is distributed in a managed way based on the results of a genetic searching algorithm. Two fitness functions are used for comparison purposes, and Omnet++ simulator was used to conduct the experiment designed to evaluate the proposed method effect on the lifetime of the WSN. Results show that the proposed method increases the lifetime and the throughput of WSN significantly.