MAC layer performance modelling for IEEE 802.15.7 based on discrete‐time Markov chain

Abstract

Potential lack of enough wireless frequency spectrum has guided researchers towards visible light communication (VLC), emerging as a sturdy support to Wi-Fi. Though the IEEE 802.15.7 standard has comprehensive medium access control (MAC) and physical (PHY) layer specifications, the emerging VLC technology still faces MAC challenges. Further, throughput is one of the major concerns for the VLC personal area network (VPAN) as it directly impacts the network speed. We propose a novel Markov chain model with two clear channel assessments, which proves to be a significant milestone in improving the network throughput for a star topology VPAN. This paper extends the already available analytical models for the MAC layer to efficiently plan and predict the VPAN performance. We also extensively evaluate other network metrics, like network collision probability and end-toend epoch, to demonstrate the proposed model's applicability. We verify the model's analytical results with elaborate MATLAB simulations and obtain good estimation, especially for large network sizes. INTRODUCTIONPresent is the era of digital communication and the Internet in our data-centric society. Everything from knowledge to memories and payments is taking the shape of digital data. The Internet has now become our life's fundamental commodity. The need for the hour is a secure, enormously available source of bandwidth. Visible light communication (VLC) brings a new modality here. VLC falls under the category of optical wireless communication (OWC) and provides a retrofit solution as it uses the lighting capability of commercially available LEDs for data transmission. This dual-purpose application reduces our dependency on densely available harmful radiofrequency radiations and provides us with more bandwidth for communication. Furthermore, LEDs work with power typically of the order of milliwatts. With adequate measures, we can make them switch at much higher rates, that blinking becomes unnoticeable to the human eye. The possible application areas of VLC include hospitals, the aviation industry, vehicular communication, and location-based services.VLC works as an executable alternative for RF communication in indoor scenarios, as stated in [1]. It brings out the This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

Building Construction Design Based on Particle Swarm Optimization Algorithm

“…e state space of risk grade I is set as low, medium, and high. Table 1 shows the conditional probability distribution column of initial risk state of risk source R2 [16].…”

Attack and Protection Technology of Intelligent Terminals for New Energy Internet Transmission, Transformation, and Distribution

“…In order to verify the false alarm performance of the detection method proposed by the author, at 03 : 00, 06 : 00, 09 : 00, 12 : 00, 15 : 00, 18 : 00, 21 : 00, 24 : 00 on September 20, respectively, construct 500 normal data that meet the normal measurement error requirements at any time, and the detection method proposed by the author is used for detection, of which only 1.35% of the data is misjudged as false data, indicating that the detection method proposed by the author has very superior false alarm performance [22]. In order to verify the detection performance of the detection method proposed by the author with the change of attack intensity, the detection probability of the attack vector group a 1 − a 8 with the change of attack intensity is calculated, and the results are shown in Figure 6.…”

Construction of a model for college students' innovation and entrepreneurship quality based on artificial intelligence technology

“…After determining college students' innovation and entrepreneurship quality model, the Markov chain and fuzzy algorithm in artificial intelligence technology are used to construct the evaluation model of college students' innovation and entrepreneurship quality [25]. The specific process is as follows.…”