Abstract:
In the field of Internet of Things understanding need of applications and translating them to network parameters and protocol parameters is a major challenge. This disclosure addresses problem of enabling network services by cognitive sense-analyze-decide-respond framework. A processor implemented method is provided for enabling network aware applications and applications aware networks by a sense analyze decide respond (SADR) framework. The processor implemented method includes sensing, at least one application parameter and at least one network parameter to obtain a plurality of sensed information; analyzing, the plurality of sensed information is filtered and synchronized to generate a plurality of derived parameters; determining, a plurality of rules based on the plurality of derived parameters; validating, the plurality of rules for a plurality of scenarios to obtain plurality of decisions; and enabling, at least one of (i) network, (ii) application and (iii) protocol control based on the plurality of decisions.
Abstract:
Mobile nodes communicating in direct mode (DM) may be compelled, due to their mobility pattern, to switch to infrastructure mode (IM) via conventional uplink/downlink through base station (eNB) to maintain best possible link-quality. When mobile nodes move away from each other, Signal to Interference plus Noise Ratio (SINR) may degrade over D2D link, side link (SL), and eNB is forced to re-schedule nodes to IM, incurring additional delay and potential loss of packets in transit. Embodiments of the present disclosure provide systems and methods that uses information such as flow size, transport layer type, bandwidth and RTT to determine whether request initiated by a mobile node for communication with another mobile node is of a particular transfer flow type and based on the request type (i) DM is enabled for communication or (ii) DM mode is disabled and initiates, within the mobile node, request to activate IM mode for communication.
Abstract:
Video conferencing involves transmission of video as well as audio over a network between people involved in the video conferencing, over a network. Typically, quality of conference sessions are affected by quality of network connection. If the bandwidth of the network is low, that that may cause call quality issues or call drops, which is not desirable especially in certain applications such as a surgery over video conferencing. Disclosed herein is a Conference Manager (CM) that can facilitate video conferencing over a low bandwidth network. The CM uses a producer unit and a consumer unit, for video capture and transmission, and a communication device for audio capture and transmission. The CM captures and combines audio and video data at a receiving end of the communication network. The CM also uses a fast block-wise data transfer mechanism for facilitating communication between the transmitting end and the receiving end.
Abstract:
The disclosure generally relates to methods and systems for maintaining quality of experience (QoE) in real-time live video streaming. Conventional techniques in achieving the QoE employ either additional bandwidth of the network or compromise on a latency of the network. The present disclosure provides a rendering algorithm to compensate for lost entropy without attempting to regain exact lost packet(s) information. The rendering algorithm enhance the QoE by regaining structural continuity of the lost packet(s) information despite variations in the end-to-end transmission channel. A segmentation algorithm is employed to segment each frame into one or more packets, so that each packet should only have integer number of MCU blocks. The rendering algorithm to identify the lost packets and to compensate the lost information. The present disclosure provides a loss resilient solution to maintain the QoE without trading off the bandwidth efficiency and the network latency.
Abstract:
The embodiments of present disclosure herein address unresolved problem of cognitive navigation strategies for a telepresence robotic system. This includes giving instruction remotely over network to go to a point in an indoor space, to go an area, to go to an object. Also, human robot interaction to give and understand interaction is not integrated in a common telepresence framework. The embodiments herein provide a telepresence robotic system empowered with a smart navigation which is based on in situ intelligent visual semantic mapping of the live scene captured by a robot. It further presents an edge-centric software architecture of a teledrive comprising a speech recognition based HRI, a navigation module and a real-time WebRTC based communication framework that holds the entire telepresence robotic system together. Additionally, the disclosure provides a robot independent API calls via device driver ROS, making the offering hardware independent and capable of running in any robot.
Abstract:
The present disclosure addresses an issue of inherent delay in a cloud-centric architecture in a scenario where multiple remote users join a teleoperation session with a robot such that any one of the users may take exclusive control of the robot and remotely maneuver it as the avatar of a current master. A Web Real-Time Communication (WebRTC) based signaling protocol with a hybrid topology for a multi-user session is provided, wherein Audio-Visual (A/V) data streaming happens over a public cloud while each master creates an on-demand peer-to-peer (P2P) channel with the robot for a desired duration of maneuvering the robot that represents the avatar of the current master. Thus, low-latency delivery of control commands results in good user experience. The provided method and system may be applied to teleoperation sessions like telemedicine sessions.
Abstract:
Robotic platform for tele-presence applications has gained paramount importance, such as for remote meetings, group discussions, and the like and has sought much attention. There exist some robotic platforms for such tele-presence applications, these lack efficacy in communication and interaction between remote person and avatar robot deployed in another geographic location thus adding network overhead. Embodiments of the present disclosure for edge centric communication protocol for remotely maneuvering tele-presence robot in geographically distributed environment. More specifically, edge-centric tele-presence robot architecture is provided for maneuvering tele-presence robot in distributed geographical environment, wherein the architecture provides a framework that implements both cloud and edge-centric systems together with a first communication protocol for communication between a master device and an edge device and a second communication protocol different from the first communication protocol for communication between the edge device and the tele-presence robot to improve robustness and efficacy in communication.
Abstract:
A system and method for resource utilization in a constrained sensor gateway for transfer of data in terms of the bandwidth and energy available to transfer data. The system includes a processor in communication with the constrained sensor gateway, which includes an application layer protocol and which is in communication with a communication network, and a memory coupled to the processor. The memory includes a network condition detection module configured to detect a network condition of the constrained sensor gateway, and an adaption module configured to determine a reliability score. The application layer protocol of the constrained sensor gateway adapts a reliability level based on the reliability score determined by the adaption module, which enables better utilization of the bandwidth and energy to transfer data. The reliability level may pertain to a reliable mode, or a non-reliable mode of communication for transferring data.
Abstract:
This disclosure relates generally to navigation of a tele-robot in dynamic environment using in-situ intelligence. Tele-robotics is the area of robotics concerned with the control of robots (tele-robots) in a remote environment from a distance. In reality the remote environment where the tele robot navigates may be dynamic in nature with unpredictable movements, making the navigation extremely challenging. The disclosure proposes an in-situ intelligent navigation of a tele-robot in a dynamic environment. The disclosed in-situ intelligence enables the tele-robot to understand the dynamic environment by identification and estimation of future location of objects based on a generating/training a motion model. Further the disclosed techniques also enable communication between a master and the tele-robot (whenever necessary) based on an application layer communication semantic.
Abstract:
This disclosure relates generally to method and system for enhancing Quality of experience (QoE) for rendering live interactive videos in real-time. The conventional methods utilize an additional field in packet header to determine which packet sequences were lost, so that the receiver could request a retransmission. Due to unpredictable delay and loss, the receiver may not get the end-of-frame packet which has been sent using best-effort. The disclosed method and system introduced an additional indicator to identify an expected maximum number of packets transmitted for each frame, and further determine the distribution of loss so that the rendering unit can intelligently decide on whether to allow the frame to display, or to drop it without using any additional retransmission or error-concealment strategy, thereby enhancing the QoE of reception at the receiver.