Analysis of the Impact of Active Rogue DHCP Attack in Enterprise Wireless Network Environments

2021 ◽  
Vol 46 (4) ◽  
pp. 651-657
Author(s):  
Jin-Won Roh ◽  
Dong-Kyu Park
Keyword(s):  
Wireless Network ◽  
The Impact ◽  
Network Environments

scholarly journals Introducing a Mobility Access Category for IEEE 802.11e

2020 ◽  
Vol 9 (5) ◽  
pp. 1610-1614
Keyword(s):  
Quality Of Service ◽  
Wireless Network ◽  
Ieee 802.11E ◽  
Network Simulator ◽  
Mobile Nodes ◽  
Mobile Stations ◽  
Simulation Scenario ◽  
Simulation Results ◽  
The Impact

With traffic increase in a wireless network beyond its capacity and as the number of connected devices continue to grow, the quality of service (QoS) degrades. In this paper we study the impact of mobility on throughput in the case of an infrastructure wireless network using IEEE 802.11 Wi-Fi standard. Since we found in the literature that the mobility of stations can have an impact on the quality of service, we try to remedy to this by implementing a new access category reserved for mobile stations. First we compare the throughput between static and mobile nodes, both connected to a QoS station. Then we propose our new model that consists of adding a new access category used by mobile nodes regardless of their traffic category. The study was made by simulating different scenarios using Network Simulator-3 (NS-3). We found that the throughput may vary depending on the simulation scenario. The simulation results show that with the proposed solution the mobile nodes can have a better throughput.

scholarly journals Enabling Cognitive Load-Aware AR with Rateless Coding on a Wearable Network

2008 ◽  
Vol 2008 ◽  
pp. 1-12 ◽  
Author(s):  
R. Razavi ◽  
M. Fleury ◽  
M. Ghanbari
Keyword(s):  
Energy Consumption ◽  
Cognitive Load ◽  
Error Correction ◽  
Wireless Network ◽  
Channel Coding ◽  
Rateless Coding ◽  
Head Mounted Display ◽  
Packet Arrival ◽  
Block Based ◽  
The Impact

Augmented reality (AR) on a head-mounted display is conveniently supported by a wearable wireless network. If, in addition, the AR display is moderated to take account of the cognitive load of the wearer, then additional biosensors form part of the network. In this paper, the impact of these additional traffic sources is assessed. Rateless coding is proposed to not only protect the fragile encoded video stream from wireless noise and interference but also to reduce coding overhead. The paper proposes a block-based form of rateless channel coding in which the unit of coding is a block within a packet. The contribution of this paper is that it minimizes energy consumption by reducing the overhead from forward error correction (FEC), while error correction properties are conserved. Compared to simple packet-based rateless coding, with this form of block-based coding, data loss is reduced and energy efficiency is improved. Cross-layer organization of piggy-backed response blocks must take place in response to feedback, as detailed in the paper. Compared also to variants of its default FEC scheme, results from a Bluetooth (IEEE 802.15.1) wireless network show a consistent improvement in energy consumption, packet arrival latency, and video quality at the AR display.

The Impact of Induced Spectrum Predictability Via Wireless Network Coding

2012 ◽  
Vol 61 (2) ◽  
pp. 758-769 ◽  
Author(s):  
Shanshan Wang ◽  
Yalin Evren Sagduyu ◽  
Junshan Zhang ◽  
Jason H. Li
Keyword(s):  
Network Coding ◽  
Wireless Network ◽  
Wireless Network Coding ◽  
The Impact

Wireless Cyber-Physical System Performance Evaluation Through a Graph Database Approach

2020 ◽  
Vol 21 (2) ◽  
Author(s):  
Mohamed Kashef ◽  
Yongkang Liu ◽  
Karl Montgomery ◽  
Richard Candell
Keyword(s):  
Wireless Communications ◽  
Wireless Network ◽  
Network Traffic ◽  
Smart Manufacturing ◽  
Graph Database ◽  
Traffic Data ◽  
Physical Processes ◽  
Process Data ◽  
Work Cell ◽  
The Impact

Abstract Despite the huge efforts to deploy wireless communications technologies in smart manufacturing scenarios, some manufacturing sectors are still slow to massive adoption. This slowness of widespread adoption of wireless technologies in cyber-physical systems (CPSs) is partly due to not fully understanding the detailed impact of wireless deployment on the physical processes especially in the cases that require low latency and high reliability communications. In this article, we introduce an approach to integrate wireless network traffic data and physical processes data to evaluate the impact of wireless communications on the performance of a manufacturing factory work cell. The proposed approach is introduced through the discussion of an engineering use case. A testbed that emulates a robotic manufacturing factory work cell is constructed using two collaborative-grade robot arms, machine emulators, and wireless communication devices. All network traffic data are collected and physical process data, including the robots and machines states and various supervisory control commands, is also collected and synchronized with the network data. The data are then integrated where redundant data are removed and correlated activities are connected in a graph database. A data model is proposed, developed, and elaborated; the database is then populated with events from the testbed, and the resulting graph is presented. Query commands are then presented as a means to examine and analyze network performance and relationships within the components of the network. Moreover, we detail the way by which this approach is used to study the impact of wireless communications on the physical processes and illustrate the impact of various wireless network parameters on the performance of the emulated manufacturing work cell. This approach can be deployed as a building block for various descriptive and predictive wireless analysis tools for CPS.

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