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Showing papers on "IEEE 802.11e-2005 published in 2019"


Journal ArticleDOI
TL;DR: In this paper, the feasibility of the wireless local area network (WLAN) infrastructure, specifically the IEEE 802.11 HCF Controlled Channel Access (HCCA) media access control (MAC) protocol, in supporting low-latency applications is investigated and a novel strategic parameter selection (SPS) algorithm is proposed that effectively reduces uplink latency of the IEEE802.11 WLAN
Abstract: Existing optical and wireless networks designed to support today’s services may not be suitable for the emerging services, such as machine-to-machine applications of the Internet-of-Things paradigm and tactile-haptic applications of the Tactile Internet paradigm. Some of these applications must adhere to stringent quality of service requirements, especially an ultra-low end-to-end latency constraint of approximately 1 ms. In this paper, we investigate the feasibility of the wireless local area network (WLAN) infrastructure, specifically the IEEE 802.11 HCF Controlled Channel Access (HCCA) media access control (MAC) protocol, in supporting low-latency applications. The scenario considered is tactile-haptic data transmission between body-worn data collection devices and a wireless access point. In particular, we focus on uplink direction rather than downlink direction, because uplink data transmission forms a latency bottleneck of this particular network. In this paper, we first formulate an analytical model of the HCCA using a queuing theory to evaluate the average uplink latency. We then carry out global sensitivity analyses to understand the implications of various timing and network parameters on the uplink latency. Using these insights, we propose a novel strategic parameter selection (SPS) algorithm that effectively reduces uplink latency of the IEEE 802.11 WLAN. This paper provides insights into WLAN design such that latency-sensitive applications can be supported in the near future.

10 citations


Journal ArticleDOI
15 May 2019
TL;DR: A predictive compression with fault-tolerant embedding based multi-path routing and concealment process to maintain the Quality of Service (QoS) and Quality of Experience (QoE) in video transmission is proposed.
Abstract: With the ever-growing demand in video transmissions, it is essential to design an efficient compression and powerful transmission scheme to transmit a large volume of data in wireless multimedia sensor networks (WMSNs). The main objective of this work is to maximize the network throughput and to maintain/support a better visual experience to different end-users. In this paper, we propose a predictive compression with fault-tolerant embedding based multi-path routing and concealment process to maintain the Quality of Service (QoS) and Quality of Experience (QoE) in video transmission. In order to reduce the bit rate in high-efficiency videos, a Scalable High-efficiency Inter-layer Prediction based Video coding (SHIPVC) is proposed with two layer predictions such as texture color, and motion with different quantization parameters to attain the high coding efficiency. After compression, a multi-path genetic algorithm establishes a routing and fault tolerance embedding during transmission to maintain the QoS. In decoding side, QoE is maintained by concealing the Intra frame (I-frame) and Predicted frame (P-frame) separately using the motion vector estimation. Experimental results show better performances through bit rate reduction, maximum fault tolerance, and minimum delay parameters. The PSNR calculation for concealment technique shows the better result when compared to the previous standards. Hence, the proposed method performs the effective video transmission with acceptable quality measurements in WMSNs.

6 citations


Proceedings ArticleDOI
29 Mar 2019
TL;DR: From the comparative analysis, it is observed that the proposed algorithm can give fair bandwidth allocation to the higher priority user on demand and it is also seen that the high priority users achieve good quality of service in every aspect compared to medium and lower priority users.
Abstract: Providing reliable bandwidth for end users anywhere and anytime is the critical goal for the wireless community. There are lots of bandwidth management scheme available for wireless network. For bandwidth management in 802.11 wireless LAN, EDCA (enhanced distributed channel access) provides service differentiation by providing different priority for different traffic category. There is no any specific bandwidth management scheme based on user type or user category. Most of the bandwidth management scheme treats all the users with equal priority. In this paper, we have proposed a bandwidth management scheme for IEEE 802.11 wireless LAN which is based on user priority. For this we have considered three types of users: high priority, medium priority and low priority. The proposed bandwidth management scheme allocates the available bandwidth to high priority users first irrespective of the traffic type, then to medium priority users and low priority users are entertained at last based on the availability of the bandwidth resources. For evaluating the performance of the proposed method, five parameters are taken. These are traffic received, traffic sent, data dropped, delay and throughput. From the comparative analysis, we have observed that the proposed algorithm can give fair bandwidth allocation to the higher priority user on demand. From the simulation results it is also seen that the high priority users achieve good quality of service in every aspect compared to medium and lower priority users.

4 citations


Dissertation
01 Jan 2019
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2 citations