{"title":"无线网状网络中的无干扰信道分配、路由和能量最小化","authors":"Roopa Jayasingh, J. David, Rock C Alvino","doi":"10.1109/ICSPC46172.2019.8976706","DOIUrl":null,"url":null,"abstract":"Wireless mesh networks allow the coverage of huge areas with minimum maintenance and positioning cost. Channel allocation depends on the amount of available frequency channel in multiple radios, multiple channel (WMN) may lead to co-channel interference. This also decreases the network performance. This is addressed by interference less transmission between mesh nodes. The goal of this work is to find out non-overlapping channel necessary for interference less channel allocation. In multiple radio multiple channel preset amount of channel allocation might be the reason for interference in the neighboring channel. This may reduce the performance of the network. This can be set back by making interference less communication between the mesh nodes. Mesh nodes must be provided with several radios so that the performance of the network can be increased. In this paper, channel allocation and routing with minimum power and interference algorithm is proposed to attain the utmost throughput performance and fairness between the several network transmissions. To reduce the number of required channels, topology management technique that supports maxi energy (ME) is used. This gives an upper bound on the probability and power consumption and power constraint. The performance parameter like delay, average power consumption and throughput is analyzed for node, interval and speed. The result shows better performance when compared to the previous algorithms.","PeriodicalId":321652,"journal":{"name":"2019 2nd International Conference on Signal Processing and Communication (ICSPC)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Interference less channel allocation routing and energy minimization in wireless mesh network\",\"authors\":\"Roopa Jayasingh, J. David, Rock C Alvino\",\"doi\":\"10.1109/ICSPC46172.2019.8976706\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Wireless mesh networks allow the coverage of huge areas with minimum maintenance and positioning cost. Channel allocation depends on the amount of available frequency channel in multiple radios, multiple channel (WMN) may lead to co-channel interference. This also decreases the network performance. This is addressed by interference less transmission between mesh nodes. The goal of this work is to find out non-overlapping channel necessary for interference less channel allocation. In multiple radio multiple channel preset amount of channel allocation might be the reason for interference in the neighboring channel. This may reduce the performance of the network. This can be set back by making interference less communication between the mesh nodes. Mesh nodes must be provided with several radios so that the performance of the network can be increased. In this paper, channel allocation and routing with minimum power and interference algorithm is proposed to attain the utmost throughput performance and fairness between the several network transmissions. To reduce the number of required channels, topology management technique that supports maxi energy (ME) is used. This gives an upper bound on the probability and power consumption and power constraint. The performance parameter like delay, average power consumption and throughput is analyzed for node, interval and speed. The result shows better performance when compared to the previous algorithms.\",\"PeriodicalId\":321652,\"journal\":{\"name\":\"2019 2nd International Conference on Signal Processing and Communication (ICSPC)\",\"volume\":\"3 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 2nd International Conference on Signal Processing and Communication (ICSPC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICSPC46172.2019.8976706\",\"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 2nd International Conference on Signal Processing and Communication (ICSPC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSPC46172.2019.8976706","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Interference less channel allocation routing and energy minimization in wireless mesh network
Wireless mesh networks allow the coverage of huge areas with minimum maintenance and positioning cost. Channel allocation depends on the amount of available frequency channel in multiple radios, multiple channel (WMN) may lead to co-channel interference. This also decreases the network performance. This is addressed by interference less transmission between mesh nodes. The goal of this work is to find out non-overlapping channel necessary for interference less channel allocation. In multiple radio multiple channel preset amount of channel allocation might be the reason for interference in the neighboring channel. This may reduce the performance of the network. This can be set back by making interference less communication between the mesh nodes. Mesh nodes must be provided with several radios so that the performance of the network can be increased. In this paper, channel allocation and routing with minimum power and interference algorithm is proposed to attain the utmost throughput performance and fairness between the several network transmissions. To reduce the number of required channels, topology management technique that supports maxi energy (ME) is used. This gives an upper bound on the probability and power consumption and power constraint. The performance parameter like delay, average power consumption and throughput is analyzed for node, interval and speed. The result shows better performance when compared to the previous algorithms.