Praveen Kumar, M. Ruthwik, M. K. Sree, Misba Saad, A. Patil
{"title":"基于QualNet模拟器的智能路由紧急疏散系统的实现","authors":"Praveen Kumar, M. Ruthwik, M. K. Sree, Misba Saad, A. Patil","doi":"10.1145/2909067.2909092","DOIUrl":null,"url":null,"abstract":"Sensors are wireless devices used for monitoring and recording the surrounding physical and environmental parameters. The data collected is transmitted continuously to a base station. A collection of such wireless sensors form a network called Wireless Sensor Networks (WSNs). Fire hazard monitoring and evacuation for building environments is a novel application area for the deployment of WSNs. Here, an emergency-adaptive, real time and robust routing protocol called EAR is presented. A comparison of the performance parameters is made with EAR and AODV by varying the number of nodes and also by changing the simulation time. The metrics chosen are Average End-to-End Delay, Throughput, Average Jitter, Packet Delivery Ratio and Carried Load. Analysis and performance study is done using QualNet 7.1 simulator.","PeriodicalId":371590,"journal":{"name":"Women In Research","volume":"6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Implementation of an Emergency Evacuation System Using Intelligent Routing Using QualNet Simulator\",\"authors\":\"Praveen Kumar, M. Ruthwik, M. K. Sree, Misba Saad, A. Patil\",\"doi\":\"10.1145/2909067.2909092\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Sensors are wireless devices used for monitoring and recording the surrounding physical and environmental parameters. The data collected is transmitted continuously to a base station. A collection of such wireless sensors form a network called Wireless Sensor Networks (WSNs). Fire hazard monitoring and evacuation for building environments is a novel application area for the deployment of WSNs. Here, an emergency-adaptive, real time and robust routing protocol called EAR is presented. A comparison of the performance parameters is made with EAR and AODV by varying the number of nodes and also by changing the simulation time. The metrics chosen are Average End-to-End Delay, Throughput, Average Jitter, Packet Delivery Ratio and Carried Load. Analysis and performance study is done using QualNet 7.1 simulator.\",\"PeriodicalId\":371590,\"journal\":{\"name\":\"Women In Research\",\"volume\":\"6 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-03-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Women In Research\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/2909067.2909092\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Women In Research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2909067.2909092","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Implementation of an Emergency Evacuation System Using Intelligent Routing Using QualNet Simulator
Sensors are wireless devices used for monitoring and recording the surrounding physical and environmental parameters. The data collected is transmitted continuously to a base station. A collection of such wireless sensors form a network called Wireless Sensor Networks (WSNs). Fire hazard monitoring and evacuation for building environments is a novel application area for the deployment of WSNs. Here, an emergency-adaptive, real time and robust routing protocol called EAR is presented. A comparison of the performance parameters is made with EAR and AODV by varying the number of nodes and also by changing the simulation time. The metrics chosen are Average End-to-End Delay, Throughput, Average Jitter, Packet Delivery Ratio and Carried Load. Analysis and performance study is done using QualNet 7.1 simulator.