Biblio

Wireless security is confronted with the complexity of the secret key distribution process, which is difficult to implement on an Ad Hoc network without a key management infrastructure. The symmetric key extraction mechanism from a response channel in a wireless environment is a very promising alternative solution with the simplicity of the key distribution process. Various mechanisms have been proposed for extracting the symmetric key, but many mechanisms produce low rates of the symmetric key due to the high bit differences that occur. This led to the fact that the reconciliation phase was unable to make corrections, as a result of which many key bits were lost, and the time required to obtain a symmetric key was increased. In this paper, we propose the use of an interval approach that divides the response channel into segments at specific intervals to reduce the key bit difference and increase the key rates. The results of tests conducted in the wireless environment show that the use of these mechanisms can increase the rate of the keys up to 35% compared to existing mechanisms.

Device-Free Localization and Tracking (DFLT) acts as a key component for the contactless awareness applications such as elderly care and home security. However, the random phase errors in WiFi signal and weak target echoes submerged in background clutter signals are mainly obstacles for current DFLT systems. In this paper, we propose the design and implementation of MuTrack, a multiparameter based DFLT system using commodity WiFi devices with a single link. Firstly, we select an antenna with maximum reliability index as the reference antenna for signal sanitization in which the conjugate operation removes the random phase errors. Secondly, we design a multi-dimensional parameters estimator and then refine path parameters by optimizing the complete data of path components. Finally, the Hungarian Kalman Filter based tracking method is proposed to derive accurate locations from low-resolution parameter estimates. We extensively validate the proposed system in typical indoor environment and these experimental results show that MuTrack can achieve high tracking accuracy with the mean error of 0.82 m using only a single link.

Internet of Things (IoT) revolution in 5th Generation (5G) will dynamically support all user, devices and customer worldwide where these devices, mechanical and digital machines will be connected and are able to communicate and transfer data over the network. In industries, the evolution of these technologies, known as Industrial IoT (IIoT) will enable machines to be connected and communicate where else, Internet of Everything (IoE) makes the connection more relevant between all smart devices, machines and also people with a huge data, high speed and high security. The growth of these technologies has made Radio Frequency (RF) spectrum resources for wireless communication to be more saturated. In order to solve this problem, new wireless communication technologies are proposed to meet the demand and also to enhance the performance of the system and overcome the existing bandwidth limitations. Studies done shows that Light-Fidelity (Li-Fi), based on Visible Light Communications (VLC) is one of the most promising technology in future which is based on optical wireless communication. Initial study on the Li-Fi concept has focuses on achieving speed, bi-directional transmission concept and supports multiuser access. In this paper we propose a frame work focuses on the handover process for indoor environment by using the steerable Access Point (AP) and compare the output result with fix Access Point.