{"title":"IEEE 802.11s无线网状网络中视频监控无人机的路由协议","authors":"C. Katila, A. Gianni, C. Buratti, R. Verdone","doi":"10.1109/EuCNC.2017.7980778","DOIUrl":null,"url":null,"abstract":"In this paper we consider a video surveillance application, using a camera mounted on a drone flying over the area to be monitored and sending the video to a control center (CC). In order to ensure connectivity between the drone and the CC some relays are deployed on the ground. The resulting network is composed of a static component (relays), and a moving component (the drone). All network devices are assumed to be equipped with IEEE 802.11s air interfaces. The goal of our work is to design and validate a routing protocol appropriate for this scenario. The IEEE 802.11s standard proposes Hybrid Wireless Mesh routing Protocol (HWMP) composed of a proactive tree-based routing and the reactive Radio Metric Ad-hoc On-Demand Distance Vector (RM-AODV) scheme to support mesh networks. To address the need for reliable connectivity, faster and resource-efficient path discovery, we envisage a mixed optimized scheme, called Optimized-Hybrid Wireless Mesh Protocol (O-HWMP), where both, RM-AODV and the proactive tree-based scheme, are used at the same time. In O-HWMP the output of the tree-based routing scheme provides input to the RM-AODV, in order to reduce flooding of control packets, and to minimize delays during path discovery. Through NS3-Evalvid simulations we demonstrate that, compared to RM-AODV scheme, our proposed protocol significantly improves network performance in terms of delays, packet success rate, overhead cost, and peak-signal-to-noise-ratio metric of the received video.","PeriodicalId":6626,"journal":{"name":"2017 European Conference on Networks and Communications (EuCNC)","volume":"27 1","pages":"1-5"},"PeriodicalIF":0.0000,"publicationDate":"2017-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"20","resultStr":"{\"title\":\"Routing protocols for video surveillance drones in IEEE 802.11s Wireless Mesh Networks\",\"authors\":\"C. Katila, A. Gianni, C. Buratti, R. Verdone\",\"doi\":\"10.1109/EuCNC.2017.7980778\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper we consider a video surveillance application, using a camera mounted on a drone flying over the area to be monitored and sending the video to a control center (CC). In order to ensure connectivity between the drone and the CC some relays are deployed on the ground. The resulting network is composed of a static component (relays), and a moving component (the drone). All network devices are assumed to be equipped with IEEE 802.11s air interfaces. The goal of our work is to design and validate a routing protocol appropriate for this scenario. The IEEE 802.11s standard proposes Hybrid Wireless Mesh routing Protocol (HWMP) composed of a proactive tree-based routing and the reactive Radio Metric Ad-hoc On-Demand Distance Vector (RM-AODV) scheme to support mesh networks. To address the need for reliable connectivity, faster and resource-efficient path discovery, we envisage a mixed optimized scheme, called Optimized-Hybrid Wireless Mesh Protocol (O-HWMP), where both, RM-AODV and the proactive tree-based scheme, are used at the same time. In O-HWMP the output of the tree-based routing scheme provides input to the RM-AODV, in order to reduce flooding of control packets, and to minimize delays during path discovery. Through NS3-Evalvid simulations we demonstrate that, compared to RM-AODV scheme, our proposed protocol significantly improves network performance in terms of delays, packet success rate, overhead cost, and peak-signal-to-noise-ratio metric of the received video.\",\"PeriodicalId\":6626,\"journal\":{\"name\":\"2017 European Conference on Networks and Communications (EuCNC)\",\"volume\":\"27 1\",\"pages\":\"1-5\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-06-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"20\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 European Conference on Networks and Communications (EuCNC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/EuCNC.2017.7980778\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 European Conference on Networks and Communications (EuCNC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EuCNC.2017.7980778","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Routing protocols for video surveillance drones in IEEE 802.11s Wireless Mesh Networks
In this paper we consider a video surveillance application, using a camera mounted on a drone flying over the area to be monitored and sending the video to a control center (CC). In order to ensure connectivity between the drone and the CC some relays are deployed on the ground. The resulting network is composed of a static component (relays), and a moving component (the drone). All network devices are assumed to be equipped with IEEE 802.11s air interfaces. The goal of our work is to design and validate a routing protocol appropriate for this scenario. The IEEE 802.11s standard proposes Hybrid Wireless Mesh routing Protocol (HWMP) composed of a proactive tree-based routing and the reactive Radio Metric Ad-hoc On-Demand Distance Vector (RM-AODV) scheme to support mesh networks. To address the need for reliable connectivity, faster and resource-efficient path discovery, we envisage a mixed optimized scheme, called Optimized-Hybrid Wireless Mesh Protocol (O-HWMP), where both, RM-AODV and the proactive tree-based scheme, are used at the same time. In O-HWMP the output of the tree-based routing scheme provides input to the RM-AODV, in order to reduce flooding of control packets, and to minimize delays during path discovery. Through NS3-Evalvid simulations we demonstrate that, compared to RM-AODV scheme, our proposed protocol significantly improves network performance in terms of delays, packet success rate, overhead cost, and peak-signal-to-noise-ratio metric of the received video.