Video quality assessment and QoE-driven adjustment scheme in wireless networks

Lan, Yanling; Yang, Geng; Rui, Lanlan; Xiong, Ao

doi:10.1109/icct.2012.6511186

Cited by 8 publications

(1 citation statement)

References 16 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…We set up the simulation in an area of 1000 square meters for a random waypoint mobile model with varying number of nodes and IEEE 802.11 MAC protocol is used for our implementation. The two ray ground transmission model is used with the transmission range 250m Evalvid tool [29][30] is used to convert the multimedia data (audio/video) frames in to NS2 input source file, which handles the information of multimedia data (audio/video) frames. The converted source file then converted in to MPEG-4 codec format and forward to destination from source.…”

Section: Simulation Resultsmentioning

confidence: 99%

Energy efficient multipath routing protocol for MANET for enhancing QoS and QoE in multimedia applications

Devi

2022

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

View full text Add to dashboard Cite

In mobile ad hoc network (MANET) the devices are interconnected by wireless manner that are able to ubiquitously retrieve contents such as video and audio streams, still images, and scalar sensor data from the environment. MANET provides low power in hazardous environment where replacement of fault evaluation in the MANET is impossible. Hence, development of an energy efficient network is essential in MANET, where the cost of network depends on the energy consumption of each mobile node. Overutilization of energy by a mobile node cannot contribute to the utility or the network as a whole. Hence to optimize the utilization of energy at each node, we propose an energy efficient multipath routing protocol for MANET for enhancing QoS and QoE metrics (EMRP-QQ), which can eventually minimize the data loss and hence there liability of the mobile nodes and the overall network. In our proposed approach an energy efficient clustering is performed using particle swarm optimization (PSO), where all the nodes are clustered without any residual nodes left in the system. Using the appropriate selection of CH and SCH the overall networks overhead utilization is reduced and hence the QoS of the network is enhanced. The result obtained through NS-2 simulation shows that the proposed algorithm performs better than FQ-MP-OLSR approach in terms of reduced energy consumption of each node without affecting QoS and QoE metrics.

show abstract

Section: Simulation Resultsmentioning

confidence: 99%