Wireless multipath video transmission: when IoT video applications meet networking—a survey

Bhering, Fabiano Pereira; Passos, Diego; Ochi, Luiz Satoru; Albuquerque, Célio

doi:10.1007/s00530-021-00885-4

Cited by 13 publications

(7 citation statements)

References 69 publications

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“…In addition, accurate MM performance estimates are useful for routing and video coding decisions. 1,5,6 There are a wide variety of IoT (Internet of Things) MM applications that can benefit from a real-time network performance estimator to route selection, 5 such as surveillance systems for outdoor or indoor spaces in smart cities that require multiple video sources transmitting simultaneously to the monitoring center. 7 Note that the performance of these application scenarios can vary according to the selected route for each video flow, as this may cause interflow interference.…”

Section: Introductionmentioning

confidence: 99%

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Network performance estimator with applications to route selection for IoT multimedia applications

2023

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Estimating the performance of multimedia (MM) traffic is important in numerous contexts, including routing and forwarding, quality of service (QoS) provisioning, and adaptive video streaming. This paper proposes a network performance estimator which aims at providing, in quasi real-time, network performance estimates for IoT MM traffic in IEEE 802.11 multihop wireless networks. To our knowledge, the proposed MM-aware performance estimator, or MAPE, is the first deterministic simulation-based estimator that provides real-time per-flow throughput, packet loss, and delay estimates while considering inter-flow interference and multirate flows, typical of MM traffic. Our experimental results indicate that MAPE is able to provide network performance estimates that can be used by IoT MM services, notably to inform real-time route selection in IoT video transmission, at a fraction of the execution time when compared to stochastic network simulators. When compared to existing deterministic simulators, MAPE yields higher accuracy at comparable execution times due to its ability to consider multirate flows.

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Section: Introductionmentioning

confidence: 99%

“…In addition, accurate MM performance estimates are useful for routing and video coding decisions. 1,5,6…”

Section: Introductionmentioning

confidence: 99%

Network performance estimator with applications to route selection for IoT multimedia applications

2023

Self Cite

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“…It allows estimating current available network capacity as well as deciding whether the network can fulfill each flow's requirements. In addition, accurate multimedia performance estimates are useful for routing and video coding decisions [5,1,6].…”

Section: Introductionmentioning

confidence: 99%

“…There is a wide variety of IoT (Internet of Things) multimedia applications that can benefit from a real-time network performance estimator to route selection [5], such as surveillance systems for outdoor or indoor spaces in smart cities that require multiple video sources transmitting simultaneously to the monitoring center [7]. Note that the performance of these application scenarios can vary according to the selected route for each video flow, as this may cause inter-flow interference.…”

Section: Introductionmentioning

confidence: 99%

Network Performance Estimator with Applications to Route Selection for IoT Multimedia Applications

Bhering¹,

Passos²,

Albuquerque³

2022

Preprint

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Estimating the performance of multimedia traffic is important in numerous contexts, including routing and forwarding, QoS provisioning, and adaptive video streaming. This paper proposes a network performance estimator which aims at providing, in quasi real-time, network performance estimates for IoT multimedia traffic in IEEE 802.11 multihop wireless networks. To our knowledge, the proposed multimedia-aware performance estimator, or MAPE, is the first deterministic simulation-based estimator that provides real-time per-flow throughput, packet loss and delay estimates while considering inter-flow interference and multi-rate flows, typical of multimedia traffic. Our experimental results indicate that MAPE is able to provide network performance estimates that can be used by IoT multimedia services, notably to inform real-time route selection in IoT video transmission, at a fraction of the execution time when compared to stochastic network simulators. When compared to existing deterministic simulators, MAPE yields higher accuracy at comparable execution times due to its ability to consider multi-rate flows.

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“…In networks, finding of optimal routes is also known as a NP-complete problem for multiple objectives. In WMNs, the designing of a routing protocol is exacerbated further due to the requirements and characteristics of multimedia applications, including bounded delay and higher bandwidth demand [7]. It's a challenge to design a robust routing method for WMNs even though different approaches were proposed.…”

Section: Introductionmentioning

confidence: 99%

MPIGA – Multipath Selection Using Improved Genetic Algorithm

Satyanarayana¹,

Devi²,

Rao³

2022

Int. j. commun. netw. inf. secur.

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The Wireless Multimedia Networks (WMNs) have developed due to the extensive applications of wireless devices and increasing availability of lower cost hardware. The WMNs are used to transmit the multimedia content like audio and video streaming and they can be deployed within a lower budget. These networks can also be used in real-time data applications that demand energy-efficient management and awareness of Quality of Service (QoS). The energy resources are limited in the wireless devices that lead to the significant threats on the QoS for WMNs. An energy-efficient routing technique is needed to handle the dynamic topology of WMN that includes a vital resource as energy. The energy-efficient routing method was proposed in this work for the purpose of data communication based on a cluster head selection from each cluster in addition to the multipath route selection to reduce the network overhead and energy consumption. The cluster heads for each cluster are selected based on Node Coverage & average residual energy parameters.In this work, the proposed energy efficient routing algorithm uses improved genetic algorithm (IGA)based on a cost function for dynamic selection of the best path. The proposed cost function uses link lifetime &average link delay parameters to estimate the link cost. The proposed algorithm’s performance compared with other previous routing methods based on extensive simulation analysis. The results showed that the proposed method achieves better performance over three other routing techniques.

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Wireless multipath video transmission: when IoT video applications meet networking—a survey

Cited by 13 publications

References 69 publications

Network performance estimator with applications to route selection for IoT multimedia applications

Network performance estimator with applications to route selection for IoT multimedia applications

Network Performance Estimator with Applications to Route Selection for IoT Multimedia Applications

MPIGA – Multipath Selection Using Improved Genetic Algorithm

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