{"title":"健康监测系统中关键数据的无拥塞传输","authors":"M. Shelke, Akshay Malhotra, P. Mahalle","doi":"10.1109/PUNECON.2018.8745433","DOIUrl":null,"url":null,"abstract":"Growth of any country is directly proportional to the health of the society. Society health can be categorized into three classes i.e. economic, physical and emotional health. Good physical and emotional health leads to economic growth of country and hence, its overall growth. Hence IOT has considered health industry as one of the main applications. WSN has become an integral part of Internet of Things (IOT). Networked sensors either worn on the body or embedded in our living environment monitor and collect rich health information. Intelligent use of health information can facilitate suitable treatment to the patient and reduce human intervention. Information remains of importance only if it reaches in time to the destination. Congestion can be a severe challenge in Wireless Sensor Networks (WSN) as it increases transmission delay, reduces throughput and sensor lifetime. Hence we propose Particle Swarm Optimization (PSO) based routing protocol aided with efficient scheduling to prevent loss of high priority data and to provide congestion free data flow. The performance of the proposed algorithm is simulated in Network Simulator (NS2) software and the efficiency is verified. The simulation results are compared with that of an existing approach.","PeriodicalId":166677,"journal":{"name":"2018 IEEE Punecon","volume":"70-72 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"PSO_based Congestion free Critical data transmission in health monitoring system\",\"authors\":\"M. Shelke, Akshay Malhotra, P. Mahalle\",\"doi\":\"10.1109/PUNECON.2018.8745433\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Growth of any country is directly proportional to the health of the society. Society health can be categorized into three classes i.e. economic, physical and emotional health. Good physical and emotional health leads to economic growth of country and hence, its overall growth. Hence IOT has considered health industry as one of the main applications. WSN has become an integral part of Internet of Things (IOT). Networked sensors either worn on the body or embedded in our living environment monitor and collect rich health information. Intelligent use of health information can facilitate suitable treatment to the patient and reduce human intervention. Information remains of importance only if it reaches in time to the destination. Congestion can be a severe challenge in Wireless Sensor Networks (WSN) as it increases transmission delay, reduces throughput and sensor lifetime. Hence we propose Particle Swarm Optimization (PSO) based routing protocol aided with efficient scheduling to prevent loss of high priority data and to provide congestion free data flow. The performance of the proposed algorithm is simulated in Network Simulator (NS2) software and the efficiency is verified. The simulation results are compared with that of an existing approach.\",\"PeriodicalId\":166677,\"journal\":{\"name\":\"2018 IEEE Punecon\",\"volume\":\"70-72 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 IEEE Punecon\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/PUNECON.2018.8745433\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE Punecon","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PUNECON.2018.8745433","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
PSO_based Congestion free Critical data transmission in health monitoring system
Growth of any country is directly proportional to the health of the society. Society health can be categorized into three classes i.e. economic, physical and emotional health. Good physical and emotional health leads to economic growth of country and hence, its overall growth. Hence IOT has considered health industry as one of the main applications. WSN has become an integral part of Internet of Things (IOT). Networked sensors either worn on the body or embedded in our living environment monitor and collect rich health information. Intelligent use of health information can facilitate suitable treatment to the patient and reduce human intervention. Information remains of importance only if it reaches in time to the destination. Congestion can be a severe challenge in Wireless Sensor Networks (WSN) as it increases transmission delay, reduces throughput and sensor lifetime. Hence we propose Particle Swarm Optimization (PSO) based routing protocol aided with efficient scheduling to prevent loss of high priority data and to provide congestion free data flow. The performance of the proposed algorithm is simulated in Network Simulator (NS2) software and the efficiency is verified. The simulation results are compared with that of an existing approach.