The QoS of the Edge Router based on DiffServ

Internet real-time multimedia communication brings a further challenge to Quality of Service(QoS).A higher QoS in communication is required increasingly.As a new framework for providing QoS services,Differentiated Services (DiffServ)is undergoing a speedily standardization process at the IETF.DiffServ not only can offer classified level of services,but also can provide guaranteed QoS in a certain extent.In order to provide QoS,DiffServ must be properly configured.The traditional DiffServ mechanism provides classifier for edge router to mark the different traffic streams,and then the core router uses different Drop Packet Mechanisms to drop packets or transmit data packets according to these classified markers.When multiple edge routers or other core routers transmit data packets high speedily to a single core router,the core router will emerge bottleneck bandwidth.The most valid solution to this problem is that the edge router adopts drop packet mechanism.This paper proposes an Modified Edge Router Mechanism that let the edge router achieve marking,dropping and transmitting packets of hybrid traffic streams based on DiffServ in a given bandwidth,the core router will only transmits packets but won’t drop packets.By the simulation of ns2,the modified mechanism ensure the QoS of high priority traffics and simplify the core router,it is a valid method to solve the congestion of the core router.

QoS in FANET Business and Swarm Data

This article shows the quality of services in a wireless swarm of drones that form an ad hoc network between them Fly Ad Hoc Networks(FANET).Each drone has the ability to send and receive information(like a router);and can behave as a hierarchical node whit the intregration of three protocols:Multiprotocol Label Switch(MPLS),Fast Hierarchical AD Hoc Mobile(FHAM)and Internet Protocol version 6(IPv6),in conclusion MPLS+FHAM+IPv6.The metrics analyzed in the FANET are:delay,jitter,throughput,lost and sent packets/received.Testing process was carried out with swarms composed of 10,20,30 and 40 units;In this work,the stage with 40 droneswas analyzed showing registration processes,and sentmessages sequences between different drones that were part of the same swarm.A special analysis about the traffic between drones(end-to-end)was carried out,as well as the possible security flaws in each drone and the current status and future trends in real services.Regarding future trends,in a real environment,we took as a starting point,metrics results obtained in the simulation(positive according to the obtained results).These results gave us a clear vision of how the network will behave in a real environment with the aim to carry out the experiment on a physical level in the near future.This work also shows the experience quality from the service quality metrics obtained through a mathematical model.This quality of experience model will allow us to use it objectively in the agricultural sector,which is a great interest area and is where we are working with drones.Finally in this article we show our advances for a business model applied to the aforementioned agricultural sector,as well as the data analysis and services available to the end customer.These services available to the end customer have been classified into a basic,medium,advanced and plus level.