Abstract:
Systems and methods of the present disclosure enable exchange of semantic knowledge of resource data and task data between heterogeneous resources in a constrained environment wherein cloud infrastructure and cloud based knowledge repository is not available. Ontology based semantic knowledge exchange firstly enables discovery of available resources in real time. New tasks may evolve at runtime and so also resource data associated with the resources may vary over time. Systems and methods of the present disclosure effectively address these dynamic logistics in a constrained environment involving heterogeneous resources. Furthermore, based on the required resource data for each task and the available resources discovered in real time, task allocation can be effectively handled.
Abstract:
This disclosure provides a Kalman filter based predictive jitter buffer adaptation for smooth live video streaming. In the present disclosure, at receiver of a live video steaming system, reassembly of received data packets is performed to reconstruct different types of encoded frames transmitted by a transmitter. The different types of encoded frames are Full encoded frames in basic state and Delta encoded frames. To tackle data packet loss, the receiver is also equipped with a frugal yet efficient loss handling mechanism for both basic and delta frames. To achieve smooth rendering of the live video, the receiver employs a Kalman Filter based Jitter Buffer Adaptation mechanism. The Kalman Filter based Jitter Buffer Adaptation mechanism observes variability in arrival time of the open-loop best-effort traffic and adapts a jitter-buffer based on future end-to-end delay estimates. Thus, smoothness of streaming is preserved at the receiving end augmented with robust loss-resilience.
Abstract:
The present disclosure relates to methods and systems for establishing an edge-inclusive real-time multimedia tele-conferencing using tele-robots. Conventional techniques employ a WebSocket connection for the robot-to-edge device (R2E) connection which may not meet expected real-time behaviour. The present disclosure provides a resource-friendly application protocol using WebRTC that enables the same tele-robotic WebRTC session to fork the live feed of the tele-robot for consumption by the edge device. According to the present disclosure, a peer-to-peer connection is established between the plurality of peers by the cloud signaling server, based on the type of the unique type identifier. Then, the live stream of the tele-robot, in the tele-conferencing session, is forked based on the peer-to-peer connection established (i) between the tele-robot and the broadcaster, or (ii) between the tele-robot and the edge device, to obtain a stream forked from the live stream, which is then used for various visual analytics.
Abstract:
Conventional protocols for live media streaming are not lightweight and hence not suitable for constrained video transmitting devices. The protocols are poor in terms of delay performance under lossy conditions and need to maintain a lot of states at the constrained transmitting end leading to load on the memory and draining energy of the devices. The conventionally used protocols do not perform well for intermittent connectivity. Usually the existing streaming solutions act either in completely reliable manner, using reliable transport protocol like TCP, or in completely unreliable manner using best effort unreliable transport protocol like UDP. The present disclosure provides a single streaming solution which can change the protocol semantics and maintains a balance between reliability and delay-performance, thereby optimizing the overall system goodput. The protocol does this intelligently by inferring the criticality of the segment in flight and enable live video streaming for Internet of Things (IoT).
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:
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:
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:
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:
This disclosure relates generally to the use of distributed system for computation, and more particularly, relates to a method and system for optimizing computation and communication resource while preserving security in the distributed device for computation. In one embodiment, a system and method of utilizing plurality of constrained edge devices for distributed computation is disclosed. The system enables integration of the edge devices like residential gateways and smart phone into a grid of distributed computation. The edged devices with constrained bandwidth, energy, computation capabilities and combination thereof are optimized dynamically based on condition of communication network. The system further enables scheduling and segregation of data, to be analyzed, between the edge devices. The system may further be configured to preserve privacy associated with the data while sharing the data between the plurality of devices during computation.