{"title":"工业乡镇地区无线传感器网络AODV、RIP和STAR路由协议的云感烟模型","authors":"Sahabul Alam, D. De","doi":"10.1109/ICRCICN.2016.7813550","DOIUrl":null,"url":null,"abstract":"The wireless sensor network has importance on account of recent improvement of information technology. Micro-electrical mechanical system is used to evolve sensors over the last past decades. The enormous numbers of sensors are redistributed for sensing as well as accumulating data from its neighborhood through routing protocol. Industrial township area yields smoke on account of burning of diesel, coal, fossil fuels etc. The leading goal of this paper is to evaluate AODV, RIP and STAR routing protocols in cloud smoke sensing in industrial township area using Qualnet 7.1 simulator with different parameters like average number of packets dropped, signals transmitted, signals detected, data packets sent, data packets queued and de-queued for CAP and average energy consumed in transmit, receive as well as idle mode. The simulation results show that RIP performs better for packets dropping, STAR performs better for signal transmitting as well as detecting and AODV performs better for data packet sending, queuing and dequeuing in CAP during cloud smoke sensing in industrial township area.","PeriodicalId":254393,"journal":{"name":"2016 Second International Conference on Research in Computational Intelligence and Communication Networks (ICRCICN)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Cloud smoke sensing model for AODV, RIP and STAR routing protocols using wireless sensor network in industrial township area\",\"authors\":\"Sahabul Alam, D. De\",\"doi\":\"10.1109/ICRCICN.2016.7813550\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The wireless sensor network has importance on account of recent improvement of information technology. Micro-electrical mechanical system is used to evolve sensors over the last past decades. The enormous numbers of sensors are redistributed for sensing as well as accumulating data from its neighborhood through routing protocol. Industrial township area yields smoke on account of burning of diesel, coal, fossil fuels etc. The leading goal of this paper is to evaluate AODV, RIP and STAR routing protocols in cloud smoke sensing in industrial township area using Qualnet 7.1 simulator with different parameters like average number of packets dropped, signals transmitted, signals detected, data packets sent, data packets queued and de-queued for CAP and average energy consumed in transmit, receive as well as idle mode. The simulation results show that RIP performs better for packets dropping, STAR performs better for signal transmitting as well as detecting and AODV performs better for data packet sending, queuing and dequeuing in CAP during cloud smoke sensing in industrial township area.\",\"PeriodicalId\":254393,\"journal\":{\"name\":\"2016 Second International Conference on Research in Computational Intelligence and Communication Networks (ICRCICN)\",\"volume\":\"10 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 Second International Conference on Research in Computational Intelligence and Communication Networks (ICRCICN)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICRCICN.2016.7813550\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 Second International Conference on Research in Computational Intelligence and Communication Networks (ICRCICN)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICRCICN.2016.7813550","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Cloud smoke sensing model for AODV, RIP and STAR routing protocols using wireless sensor network in industrial township area
The wireless sensor network has importance on account of recent improvement of information technology. Micro-electrical mechanical system is used to evolve sensors over the last past decades. The enormous numbers of sensors are redistributed for sensing as well as accumulating data from its neighborhood through routing protocol. Industrial township area yields smoke on account of burning of diesel, coal, fossil fuels etc. The leading goal of this paper is to evaluate AODV, RIP and STAR routing protocols in cloud smoke sensing in industrial township area using Qualnet 7.1 simulator with different parameters like average number of packets dropped, signals transmitted, signals detected, data packets sent, data packets queued and de-queued for CAP and average energy consumed in transmit, receive as well as idle mode. The simulation results show that RIP performs better for packets dropping, STAR performs better for signal transmitting as well as detecting and AODV performs better for data packet sending, queuing and dequeuing in CAP during cloud smoke sensing in industrial township area.
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