IEEE 802.11 Tutorial

2018 ◽  
Author(s):  
Kiramat

IEEE 802.11 is a set of media access control (MAC) and physical layer (PHY) specifications for implementing wireless local area network (WLAN) computer communications. Maintained by the Institute of Electrical and Electronics Engineers (IEEE) LAN/MAN Standards Committee (IEEE 802). This document highlights the main features of IEEE 802.11n variant such as MIMO, frame aggregation and beamforming along with the problems in this variant and their solutions

2013 ◽  
Vol 385-386 ◽  
pp. 1651-1654
Author(s):  
Tian Yi

This paper mainly focus on the modeling and simulating of WLAN (the wireless local area network) IEEE802.11. Based on the current research of IEEE 802.11 protocol and the most powerful network simulation tool OPNET, the paper introduces various behavior of WLAN and standards for WLAN. Research on CSMA / CA(Carrier Sense Multiple Access / Collision Avoidance) and a simulation study of optimization algorithm to the binary backoff time are conducted, DCF(Distributed Coordination Function)-based access solutions are analyze. The simulation of MAC(media access control) and PHY(Physical Layer)functional design and algorithm theory have been carried out. It can be seen from the simulation result that the theory of optimal design reduces network latency and packet loss rate, and improve the system throughput, which has an important reference value for the future deployment of WLAN IEEE 802.11 standards.


Sensors ◽  
2019 ◽  
Vol 19 (11) ◽  
pp. 2433 ◽  
Author(s):  
Litao Han ◽  
Li Jiang ◽  
Qiaoli Kong ◽  
Ji Wang ◽  
Aiguo Zhang ◽  
...  

For existing wireless network devices and smart phones to achieve available positioning accuracy easily, fingerprint localization is widely used in indoor positioning, which depends on the differences of the Received Signal Strength Indicator (RSSI) from the Wireless Local Area Network (WLAN) in different places. Currently, most researchers pay more attention to the improvement of online positioning algorithms using RSSI values, while few focus on the MAC (media access control) addresses received from the WLAN. Accordingly, we attempt to integrate MAC addresses and RSSI values simultaneously in order to realize indoor localization within multi-story buildings. A novel approach to indoor positioning within multi-story buildings is presented in this article, which includes two steps: firstly, to identify the floor using the difference of received MAC addresses in different floors; secondly, to implement further localization on the same floor. Meanwhile, clustering operation using MAC addresses as the clustering index is introduced in the online positioning phase to improve the efficiency and accuracy of indoor positioning. Experimental results show that the proposed approach can achieve not only the precise location with the horizontal accuracy of 1.8 meters, but also the floor where the receiver is located within multi-story buildings.


2020 ◽  
Author(s):  
Noah J. Goodall

Many transportation agencies use re-identification technologies to identify vehicles at multiple points along the roadway as a way to measure travel times and congestion. Examples of these technologies include license plate readers, toll tag transponders, and media access control (MAC) address scanners for Bluetooth devices. Recent advancements have allowed for the detection of unique MAC addresses from Wi-Fi and wireless local area network (WLAN) enabled devices. This paper represents one of the first attempts to measure the fundamental characteristics of Wi-Fi re-identification technology as it applies to transportation data collection. Wi-Fi sampling rates, re-identification rates, range, transmission success rates, and probability of discovery of sensors and mobile devices were measured, and a model of probability of detection is presented. Field tests found that mobile phones routinely experienced significant time gaps between Wi-Fi transmissions. The study recommends that Wi-Fi sensors be deployed at low-volume, low-speed roadways, with sensors positioned near intersections where vehicles are likely to slow or stop. Due to Wi-Fi’s relatively low probability of discovery, the technology may produce poor results in applications that require re-identifying vehicles over multiple consecutive sensors.


2015 ◽  
Vol 2015 ◽  
pp. 1-11
Author(s):  
Chang-Seop Park ◽  
Hyun-Sun Kang ◽  
Jaijin Jung

A new key management and security scheme is proposed to integrate Layer Two (L2) and Layer Three (L3) keys for secure and fast Mobile IPv6 handover over IEEE 802.11 Wireless Local Area Network (WLAN). Unlike the original IEEE 802.11-based Mobile IPv6 Fast Handover (FMIPv6) that requires time-consuming IEEE 802.1x-based Extensible Authentication Protocol (EAP) authentication on each L3 handover, the newly proposed key management and security scheme requires only one 802.1x-EAP regardless of how many L3 handovers occur. Therefore, the proposed scheme reduces the handover latency that results from a lengthy 802.1x-based EAP. The proposed key management and security scheme is extensively analyzed in terms of security and performance, and the proposed security scheme is shown to be more secure than those that were previously proposed.


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