Su Liu, Jike Ge, W. Cheng, Chengzhi Wu, T. Hu, Haoyin Liu
{"title":"基于改进蚁群算法信息素因子的WSN路由研究","authors":"Su Liu, Jike Ge, W. Cheng, Chengzhi Wu, T. Hu, Haoyin Liu","doi":"10.1109/ICESIT53460.2021.9696690","DOIUrl":null,"url":null,"abstract":"In order to achieve the security and efficiency of data transmission in Wireless Sensor Networks(WSN), this paper improves the routing protocol based on pheromone concentration factor in ant colony algorithm. By introducing the comprehensive trust degree, this problem is transformed into a combinatorial optimization problem to balance the relationship among node trust value, node energy and link quality, so as to find the comprehensive optimal path. Unlike ordinary wireless routing protocols, this paper also takes into account the security of routing transmission, the load of the overall system, and the stability of message transmission. At the same time, in the routing maintenance part, it can also make use of the trend of trust value slowly decreasing to quickly adjust the nodes with insufficient energy or low trust in the system. Through experimental test and analysis, the improved routing protocol greatly promotes the efficiency of data transmission in WSN, thus prolonging the network life cycle.","PeriodicalId":164745,"journal":{"name":"2021 IEEE International Conference on Emergency Science and Information Technology (ICESIT)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Research on WSN Routing Based on Pheromone Factor of Improved Ant Colony Algorithm\",\"authors\":\"Su Liu, Jike Ge, W. Cheng, Chengzhi Wu, T. Hu, Haoyin Liu\",\"doi\":\"10.1109/ICESIT53460.2021.9696690\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In order to achieve the security and efficiency of data transmission in Wireless Sensor Networks(WSN), this paper improves the routing protocol based on pheromone concentration factor in ant colony algorithm. By introducing the comprehensive trust degree, this problem is transformed into a combinatorial optimization problem to balance the relationship among node trust value, node energy and link quality, so as to find the comprehensive optimal path. Unlike ordinary wireless routing protocols, this paper also takes into account the security of routing transmission, the load of the overall system, and the stability of message transmission. At the same time, in the routing maintenance part, it can also make use of the trend of trust value slowly decreasing to quickly adjust the nodes with insufficient energy or low trust in the system. Through experimental test and analysis, the improved routing protocol greatly promotes the efficiency of data transmission in WSN, thus prolonging the network life cycle.\",\"PeriodicalId\":164745,\"journal\":{\"name\":\"2021 IEEE International Conference on Emergency Science and Information Technology (ICESIT)\",\"volume\":\"21 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-11-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 IEEE International Conference on Emergency Science and Information Technology (ICESIT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICESIT53460.2021.9696690\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE International Conference on Emergency Science and Information Technology (ICESIT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICESIT53460.2021.9696690","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Research on WSN Routing Based on Pheromone Factor of Improved Ant Colony Algorithm
In order to achieve the security and efficiency of data transmission in Wireless Sensor Networks(WSN), this paper improves the routing protocol based on pheromone concentration factor in ant colony algorithm. By introducing the comprehensive trust degree, this problem is transformed into a combinatorial optimization problem to balance the relationship among node trust value, node energy and link quality, so as to find the comprehensive optimal path. Unlike ordinary wireless routing protocols, this paper also takes into account the security of routing transmission, the load of the overall system, and the stability of message transmission. At the same time, in the routing maintenance part, it can also make use of the trend of trust value slowly decreasing to quickly adjust the nodes with insufficient energy or low trust in the system. Through experimental test and analysis, the improved routing protocol greatly promotes the efficiency of data transmission in WSN, thus prolonging the network life cycle.