Benefits of inter-flow bandwidth sharing in broadband wireless infrastructure networks

2008 ◽  
Author(s):  
Sandeep Kour Ahuja ◽  
Abishek Gopalan ◽  
Srinivasan Ramasubramanian
Keyword(s):  
Bandwidth Sharing ◽  
Broadband Wireless ◽  
Infrastructure Networks ◽  
Wireless Infrastructure

A rendezvous reservation protocol for energy constrained wireless infrastructure networks

2006 ◽  
Vol 13 (1) ◽  
pp. 93-105 ◽  
Author(s):  
Subalakshmi Venugopal ◽  
Wesley Chen ◽  
T. D. Todd ◽  
Krishna Sivalingam
Keyword(s):  
Infrastructure Networks ◽  
Reservation Protocol ◽  
Energy Constrained ◽  
Wireless Infrastructure

scholarly journals Holistic approach to Wep protocol in securing wireless network infrastructure

2006 ◽  
Vol 3 (2) ◽  
pp. 97-113 ◽  
Author(s):  
Radomir Prodanovic ◽  
Dejan Simic
Keyword(s):  
Wireless Networks ◽  
Comparative Analysis ◽  
Wireless Network ◽  
Holistic Approach ◽  
Network Infrastructure ◽  
Infrastructure Protection ◽  
Infrastructure Networks ◽  
Constant Increase ◽  
Security Network ◽  
Wireless Infrastructure

Constant increase in use of wireless infrastructure networks for business purposes created a need for strong safety mechanisms. This paper describes WEP (Wired Equivalent Privacy) protocol for the protection of wireless networks, its security deficiencies, as well as the various kinds of attacks that can jeopardize security goals of WEP protocol: authentication confidentiality and integrity. The paper, also, gives a summary of security improvements of WEP protocol that can lead to the higher level of wireless network infrastructure protection. Comparative analysis shows the advantages of the new 802.11i standard in comparison to the previous security solutions. A proposal of possible security improvements of RSNA (Robust Security Network Association) is presented.

Throughput and delay analysis of multi-channel wireless infrastructure networks

2012 ◽  
Vol 10 (3) ◽  
pp. 373-387 ◽  
Author(s):  
Sangman Cho ◽  
Srinivasan Ramasubramanian ◽  
Onur Turkcu ◽  
Suresh Subramaniam
Keyword(s):  
Delay Analysis ◽  
Infrastructure Networks ◽  
Wireless Infrastructure ◽  
Throughput And Delay

scholarly journals On Quality of Monitoring for Multichannel Wireless Infrastructure Networks

2014 ◽  
Vol 13 (3) ◽  
pp. 664-677 ◽  
Author(s):  
Huy Nguyen ◽  
Gabriel Scalosub ◽  
Rong Zheng
Keyword(s):  
Infrastructure Networks ◽  
Wireless Infrastructure

Opportunistic Neighbour Prediction Using an Artificial Neural Network

2015 ◽  
Vol 7 (2) ◽  
pp. 38-50 ◽  
Author(s):  
Fraser Cadger ◽  
Kevin Curran ◽  
Jose Santos ◽  
Sandra Moffet
Keyword(s):  
Human Mobility ◽  
Geographic Routing ◽  
Opportunistic Networks ◽  
Machine Learning Techniques ◽  
Location Prediction ◽  
Infrastructure Networks ◽  
Average Prediction Error ◽  
Artificial Neural ◽  
Networking Protocols ◽  
Wireless Infrastructure

Device mobility is an issue that affects both MANETs and opportunistic networks. While the former employs conventional routing techniques with some element of mobility management, opportunistic networking protocols often use mobility as a means of delivering messages in intermittently connected networks. If nodes are able to determine the future locations of other nodes with reasonable accuracy then they could plan ahead and take into account and even benefit from such mobility. Location prediction in combination with geographic routing has been explored in previous literature. Most of these location prediction schemes have made simplistic assumptions about mobility. However more advanced location prediction schemes using machine learning techniques have been used for wireless infrastructure networks. These approaches rely on the use of infrastructure and are therefore unsuitable for use in opportunistic networks or MANETs. To solve the problem of accurately predicting future location in non-infrastructure networks, the authors have investigated the prediction of continuous numerical coordinates using artificial neural networks. Simulation using three different mobility models representing human mobility has shown an average prediction error of less than 1m in normal circumstances.

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