A Review Paper on Performance Analysis of IEEE 802.11e

Bedi, Harpreet Singh; Sharma, Kamal Kumar; Gupta, Richa

doi:10.1007/978-981-15-3369-3_4

Cited by 5 publications

(6 citation statements)

References 13 publications

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“…Among different data mostly secondary types of data have been used in this project. With the help of secondary information from other writers about the manufacturing process and the other technology and technical gadgets used in the smart manufacturing process illustrated in this project and by this secondary type information, the final result of the project can also be developed [1]. Hence secondary data is collected for developing the final outcome of the project and this step is a clear indication of performing the qualitative methods in order to collect information for the completion of the project.…”

Section: Methodsmentioning

confidence: 99%

Exploring Data Acquisition and Real-Time Analysis Algorithms in Smart Manufacturing with a Focus on Automation and Inspection Technologies

Chen,

Zheng,

Lin

2023

SCPE

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The conducted research project is based on the process followed in the smart manufacturing method. It has been observed that there are different types of methods that have been used in the smart manufacturing process and among these methods most of the methods are directly associated with different modern technology and artificial intelligence as well. Along with the inclusion of automation systems in the smart manufacturing process, the incorporation of inspection technologies is also observed in the case of performing smart manufacturing systems. In association with these, the usage of an acquisition system and real-time analysis process is also observed as well. Independent steps are present inside the phases of production process of the smart manufacturing methods. The incorporation of automation processes significantly enhances the performance of individual phases within the smart manufacturing process, thereby raising the overall production standards. Automation minimizes the likelihood of human errors, data misplacement, and mishandling. Moreover, it proves highly advantageous in the data acquisition process, ensuring error-free data transfer through automated systems.

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Section: Methodsmentioning

confidence: 99%

Exploring Data Acquisition and Real-Time Analysis Algorithms in Smart Manufacturing with a Focus on Automation and Inspection Technologies

Chen,

Zheng,

Lin

2023

SCPE

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“…After going through the literature, the researcher pointed out the following problems. In receiver-initiated mesh-based approaches like Protocol for unified multicast through announcement (PUMA) [11], Efficient and reliable core assisted multicast routing in mobile ad-hoc network (ERASCA) [12] and On demand multicast routing protocol [13], the information is flooded inside the mesh, and such information is quickly received by all mesh members but at the cost of extra overhead. In flooding, as the destination node is moving away due to mobility, then the destined receiver receives the data with less at the cost of maximum overhead and energy consumption in a wireless network [14][15][16].…”

Section: Figure 1: Domain Specific and Independent Application In Iotmentioning

confidence: 99%

“…Core election/selection further deteriorates the performance if it is not managed correctly. The core node is a central point of contact that maintains and updates all the group members and is also responsible for data transmission [11]. The core node will change if the threshold value drops from specific parameters like battery capacity and many connected neighbors, which are necessary for selecting the core node.…”

Section: Core Selection In Modified Erascamentioning

confidence: 99%

An Efficient and Reliable Multicasting for Smart Cities

Khan¹,

Zahid²,

G黵黮er³

et al. 2022

Computers, Materials &Amp; Continua

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The Internet of thing (IoT) is a growing concept for smart cities, and it is compulsory to communicate data between different networks and devices. In the IoT, communication should be rapid with less delay and overhead. For this purpose, flooding is used for reliable data communication in a smart cities concept but at the cost of higher overhead, energy consumption and packet drop etc. This paper aims to increase the efficiency in term of overhead and reliability in term of delay by using multicasting and unicasting instead of flooding during packet forwarding in a smart city using the IoT concept. In this paper, multicasting and unicasting is used for IoT in smart cities within a receiver-initiated mesh-based topology to disseminate the data to the cluster head. Smart cities networks are divided into cluster head, and each cluster head or core node will be responsible for transferring data to the desired receiver. This protocol is a novel approach according to the best of our knowledge, and it proves to be very useful due to its efficiency and reliability in smart cities concept because IoT is a collection of devices and having a similar interest for transmission of data. The results are implemented in Network simulator 2 (NS-2). The result shows that the proposed protocol shows performance in overhead, throughput, packet drop, delay and energy consumption as compared to benchmark schemes.

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“…As discussed earlier, this research area is still open, with many studies exploring the performance of 802.11 Wi-Fi. Bedi et al [10] have also presented a detailed literature survey covering the various aspects of 802.11 wireless local area network (WLAN) performance.…”

Section: Wi-fi Performance Analysismentioning

confidence: 99%

Impact of People’s Movement on Wi-Fi Link Throughput in Indoor Propagation Environments: An Empirical Study

2021

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There has been tremendous growth in the deployment of Wi-Fi 802.11-based networks in recent years. Many researchers have been investigating the performance of the Wi-Fi 802.11-based networks by exploring factors such as signal interference, radio propagation environments, and wireless protocols. However, exploring the effect of people's movement on the Wi-Fi link throughout the performance is still a potential area yet to be explored. This paper investigates the impact of people's movement on Wi-Fi link throughput. This is achieved by setting up experimental scenarios by using a pair of wireless laptops to file share where there is human movement between the two nodes. Wi-Fi link throughput is measured in an obstructed office block, laboratory, library, and suburban residential home environments. The collected data from the experimental study show that the performance difference between fixed and random human movement had an overall average of 2.21 ± 0.07 Mbps. Empirical results show that the impact of people's movement (fixed and random people movements) on Wi-Fi link throughput is insignificant. The findings reported in this paper provide some insights into the effect of human movement on Wi-Fi throughputs that can help network planners for the deployment of next generation Wi-Fi systems.

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A Review Paper on Performance Analysis of IEEE 802.11e

Cited by 5 publications

References 13 publications

Exploring Data Acquisition and Real-Time Analysis Algorithms in Smart Manufacturing with a Focus on Automation and Inspection Technologies

Exploring Data Acquisition and Real-Time Analysis Algorithms in Smart Manufacturing with a Focus on Automation and Inspection Technologies

An Efficient and Reliable Multicasting for Smart Cities

Impact of People’s Movement on Wi-Fi Link Throughput in Indoor Propagation Environments: An Empirical Study

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