{"title":"基于加权能量和QoS的WBAN多跳传输路由算法","authors":"A. Ibrahim, O. Bayat, O. Ucan, S. Salisu","doi":"10.1109/IEC49899.2020.9122909","DOIUrl":null,"url":null,"abstract":"Wireless Body Area Network (WBAN) is a subset of Wireless Sensor Network (WSN) whereby invasive, non-invasive, low-cost and miniature sensors are used to measure the vital signs of a person to detect chronic diseases in their early stages before symptoms begin to appear. One of the major challenges is the network lifetime and QoS due to limited resources, hence in this paper, an architecture with a single sink node is developed in order to improve the energy management and QoS of the (WBAN). Furthermore, as part of the effort to further improve the network lifetime and QoS, an algorithm which classifies the sensed data into normal, high-normal and critical is developed using MAC protocol. Also, another algorithm called Weighted Energy and QoS (WEQ) algorithm is developed to select the optimal path to transmit the normal and high normal data. In the WEQ, the weight value is computed by considering metrics such as delay, residual energy, link stability, and distance. The route with the highest weight value is selected and the data is transmitted on that route. Extensive simulation is performed on OMNe++ to demonstrate that our work significantly outperforms that of similar works in terms of network lifetime and throughput.","PeriodicalId":273236,"journal":{"name":"2020 6th International Engineering Conference “Sustainable Technology and Development\" (IEC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":"{\"title\":\"Weighted Energy and QoS based Multi-hop Transmission Routing Algorithm for WBAN\",\"authors\":\"A. Ibrahim, O. Bayat, O. Ucan, S. Salisu\",\"doi\":\"10.1109/IEC49899.2020.9122909\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Wireless Body Area Network (WBAN) is a subset of Wireless Sensor Network (WSN) whereby invasive, non-invasive, low-cost and miniature sensors are used to measure the vital signs of a person to detect chronic diseases in their early stages before symptoms begin to appear. One of the major challenges is the network lifetime and QoS due to limited resources, hence in this paper, an architecture with a single sink node is developed in order to improve the energy management and QoS of the (WBAN). Furthermore, as part of the effort to further improve the network lifetime and QoS, an algorithm which classifies the sensed data into normal, high-normal and critical is developed using MAC protocol. Also, another algorithm called Weighted Energy and QoS (WEQ) algorithm is developed to select the optimal path to transmit the normal and high normal data. In the WEQ, the weight value is computed by considering metrics such as delay, residual energy, link stability, and distance. The route with the highest weight value is selected and the data is transmitted on that route. Extensive simulation is performed on OMNe++ to demonstrate that our work significantly outperforms that of similar works in terms of network lifetime and throughput.\",\"PeriodicalId\":273236,\"journal\":{\"name\":\"2020 6th International Engineering Conference “Sustainable Technology and Development\\\" (IEC)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-02-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"10\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 6th International Engineering Conference “Sustainable Technology and Development\\\" (IEC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IEC49899.2020.9122909\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 6th International Engineering Conference “Sustainable Technology and Development\" (IEC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IEC49899.2020.9122909","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 10
摘要
无线体域网络(WBAN)是无线传感器网络(WSN)的一个子集,通过侵入性、非侵入性、低成本和微型传感器来测量人的生命体征,在症状开始出现之前发现慢性疾病的早期阶段。由于资源有限,网络生存期和QoS是WBAN面临的主要挑战之一,因此本文提出了一种单汇聚节点架构,以改善WBAN的能量管理和QoS。此外,为了进一步提高网络的生存期和服务质量,利用MAC协议开发了一种将感知数据分为正常、高正常和关键的算法。同时,提出了加权能量和QoS (Weighted Energy and QoS, WEQ)算法来选择最优路径传输正常和高正常数据。在WEQ中,权重值是通过考虑延迟、剩余能量、链路稳定性和距离等指标来计算的。选择权重值最高的路由,并在该路由上传输数据。在omne++上进行了大量的仿真,以证明我们的工作在网络生命周期和吞吐量方面明显优于同类工作。
Weighted Energy and QoS based Multi-hop Transmission Routing Algorithm for WBAN
Wireless Body Area Network (WBAN) is a subset of Wireless Sensor Network (WSN) whereby invasive, non-invasive, low-cost and miniature sensors are used to measure the vital signs of a person to detect chronic diseases in their early stages before symptoms begin to appear. One of the major challenges is the network lifetime and QoS due to limited resources, hence in this paper, an architecture with a single sink node is developed in order to improve the energy management and QoS of the (WBAN). Furthermore, as part of the effort to further improve the network lifetime and QoS, an algorithm which classifies the sensed data into normal, high-normal and critical is developed using MAC protocol. Also, another algorithm called Weighted Energy and QoS (WEQ) algorithm is developed to select the optimal path to transmit the normal and high normal data. In the WEQ, the weight value is computed by considering metrics such as delay, residual energy, link stability, and distance. The route with the highest weight value is selected and the data is transmitted on that route. Extensive simulation is performed on OMNe++ to demonstrate that our work significantly outperforms that of similar works in terms of network lifetime and throughput.