An efficient hybrid multicast transport protocol for collaborative virtual environment with networked haptic

Boukerche, Azzedine; Maamar, Haifa Raja; Hossain, Alamgir

doi:10.1007/s00530-007-0104-y

Cited by 12 publications

(6 citation statements)

References 15 publications

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“…A hybrid solution, a protocol that tries to leverage the advantages of others such as SRM, SRTP, RMTP and SCTP is the Hybrid Multicast Transport Protocol (HMTP) [50] and is mainly used for realizing haptic collaboration in virtual environments.…”

Section: ) Transport Layermentioning

confidence: 99%

Toward Haptic Communications Over the 5G Tactile Internet

Αντωνάκογλου

Steinbach

et al. 2018

IEEE Commun. Surv. Tutorials

214

125

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Section: ) Transport Layermentioning

confidence: 99%

Toward Haptic Communications Over the 5G Tactile Internet

Αντωνάκογλου

Steinbach

et al. 2018

IEEE Commun. Surv. Tutorials

214

125

View full text Add to dashboard Cite

show abstract

“…Apart from SRL level 6, all previous levels are packet aggregation levels, where multiple packet values (payloads) are packed together into one frame. Moreover, in Figure 6a -red line, the authors also introduced random errors to the receiver ACK PLOS field, in order to confirm the fuzzy response of the FRTPS controller to the quantization levels (6)(7)(8)(9)(10)(11)(12)(13). This denotes that the entrance of the sender to one of the quantization levels occurs only in very extreme contention cases that are followed by random frame drops or in congestive incidents detected at the receiver and propagated back to the sender via the PLOS ACK field.…”

Section: Frtps Fuzzy Controller Experimentationmentioning

confidence: 91%

“…where X value is the current quantization level Q i input value and Q i+1 , (Q i+1 < Q i ) the next quantization level bits (24,16,8). Output value is the quantization process result value X value .…”

Section: Frtps Protocol Structurementioning

confidence: 99%

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Proposed Fuzzy Real-Time HaPticS Protocol Carrying Haptic Data and Multisensory Streams

Kontogiannis

Kokkonis

2020

INT J COMPUT COMMUN, Int. J. Comput. Commun. Control

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Sensory and haptic data transfers to critical real-time applications over the Internet require better than best effort transport, strict timely and reliable ordered deliveries. Multi-sensory applications usually include video and audio streams with real-time control and sensory data, which aggravate and compress within real-time flows. Such real-time are vulnerable to synchronization to synchronization problems, if combined with poor Internet links. Apart from the use of differentiated QoS and MPLS services, several haptic transport protocols have been proposed to confront such issues, focusing on minimizing flows rate disruption while maintaining a steady transmission rate at the sender. Nevertheless, these protocols fail to cope with network variations and queuing delays posed by the Internet routers. This paper proposes a new haptic protocol that tries to alleviate such inadequacies using three different metrics: mean frame delay, jitter and frame loss calculated at the receiver end and propagated to the sender. In order to dynamically adjust flow rate in a fuzzy controlled manners, the proposed protocol includes a fuzzy controller to its protocol structure. The proposed FRTPS protocol (Fuzzy Real-Time haPticS protocol), utilizes crisp inputs into a fuzzification process followed by fuzzy control rules in order to calculate a crisp level output service class, denoted as Service Rate Level (SRL). The experimental results of FRTPS over RTP show that FRTPS outperforms RTP in cases of congestion incidents, out of order deliveries and goodput.

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“…Some of them were created purely for this purpose while others were designed for other interactive applications such as robot tele-operation [45]. The protocols that specialize in Haptic data transmission are SCTP [46], SMOOTHED-SCTP [47], IRTP [48], RTNP [49], ETP [50], and RTP/I [51], ALPHAN [52], HMTP [53]. Some of these protocols, such as IRTP and RTNP were not created specifically for Haptic applications but for other Robotic teleoperations and vision, carried out through IP networks.…”

Section: Related Work On Haptic Transport Protocolsmentioning

confidence: 99%

Haptic data transferring through converging networks

Κοκκώνης¹

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As the Internet spreads, new web applications come to light. One promising sector that is still in its infancy is supermedia applications. Supermedia applications manipulate video, audio, haptic and other sensory data. With the word haptic we refer to the sense of touch that the user feels when he uses a “Haptic” service. The haptic feeling has the ability to increase the sense of reality, to excite the user and improve the quality of experience. To carry out this sense through the Internet was, until recently, impracticable due to processing inefficiencies and/or protocol performance in capabilities, such as throughput and jitter constraints. This thesis presents a survey of transport protocols for supermedia applications. It outlines the Haptic data transmission characteristics and the necessary QoS requirements for the maximization of the Quality of Experience for Haptic users. It also depicts the qualitative features that transport and application layer protocols should contain in order to carry haptic data. It also describes a Haptic system architecture. A new network adaptive flow control algorithm is proposed. The new algorithm combines most of the known flow control algorithms while taking into account the network conditions οf the Internet and the significant haptic events. It analyses the metrics that have to be taken into consideration for the evaluation of Haptic transferring. These metrics are the delay, the jitter, the throughput, the efficiency, the packet loss and the proposed by the authors, packet arrival deviation. Based on these metrics, evaluation of the most commonly used real time transport protocols is performed. It also presents experiments for real time Haptic data transferring that have been carried out by the authors through different networks and locations. Extensive simulations and experiments for the performance evaluation of transport protocols for real time transferring HEVC streams with supermedia data are carried out. Complements, differences and relevancies between simulation and real world experiments are discussed. The simulation tests reveal which protocols could be used for the transfer of real-time supermedia data with a HEVC video stream.As far as video transmission is concerned, this thesis presents the related work on High Efficiency Video Coding. It points out the challenges and the synchronization techniques that have being proposed for synchronizing video and haptic data. Comparative tests between H.264 and HEVC are undertaken. Measurements for the network conditions of the Internet are carried out. The equations for the transferring delay of all the inter prediction configurations of the HEVC are defined. Furthermore, it proposes a new efficient algorithm for transferring a real-time High Efficient Video Coding stream with haptic data through the Internet.Furthermore, it presents the design of a novel real time wireless multisensory smart surveillance system with 3D HEVC features. The proposed high level system architecture of this surveillance system is analyzed. The advantages of the new HEVC encoding are presented. The synchronization issues between the multiple streams are described and solved. All the available wireless standard are presented and compared. A network adaptive transmission protocol for a reliable real-time multisensory surveillance system is proposed. Adaptive Packet Frame Grouping and quantization is enforced in order maximum Quality of Experience to be fulfilled. Measurements from the proposed protocol have given satisfactory results comparing to existing transport protocols.It also deals with the wireless transfer of real-time high update rate supermedia data over the Internet of Things. It presents the related work on supermedia data transferring and QoE requirements. It proposes a high level architectural design for the transport of wireless multiple supermedia streams over IoT. The most known compression techniques and flow controls for wireless sensory data transferring are analyzed. Based on these compression techniques a new network adaptive flow control algorithm is proposed. Measurements for multihop wireless transferring of high update rate supermedia packets over IoT are presented

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An efficient hybrid multicast transport protocol for collaborative virtual environment with networked haptic

Cited by 12 publications

References 15 publications

Toward Haptic Communications Over the 5G Tactile Internet

Toward Haptic Communications Over the 5G Tactile Internet

Proposed Fuzzy Real-Time HaPticS Protocol Carrying Haptic Data and Multisensory Streams

Haptic data transferring through converging networks

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