An IEEE 802.11n Based Multi-Channel MAC Protocol for Underground Metal Mine Wireless Network

At present, wireless communication networks obtain preliminary application in underground metal mines, but the problems of anti-interference ability and communication capability generally exist. With regard to this situation, this paper proposed an IEEE 802.11n based multi-channel MAC protocol (MC-MAC), which supports multi-channel dynamically switching by evaluating real time channel packet received rate. MC-MAC can improve wireless networks’ data throughput, anti-interference ability, and communication reliability. To evaluate the practical performance of MC-MAC, This paper designed and implemented an wireless access point based on IEEE 802.11n as testing platform, experimental results show that MC-MAC can provide 193Mbps physical links rate and improve network anti-interference ability effectively, it is suitable for underground metal mine applications.

Download Full-text

Risk-Averse Access Point Selection in Wireless Communication Networks

IEEE Transactions on Control of Network Systems ◽

10.1109/tcns.2018.2792309 ◽

2019 ◽

Vol 6 (1) ◽

pp. 24-36

Author(s):

Wann-Jiun Ma ◽

Chanwook Oh ◽

Yang Liu ◽

Darinka Dentcheva ◽

Michael M. Zavlanos

Keyword(s):

Wireless Communication ◽

Communication Networks ◽

Access Point ◽

Wireless Communication Networks ◽

Risk Averse ◽

Point Selection

Download Full-text

Data Downloading on the Sparse Coverage-Based Wireless Networks

Journal of Electrical and Computer Engineering ◽

10.1155/2010/843272 ◽

2010 ◽

Vol 2010 ◽

pp. 1-7 ◽

Cited By ~ 9

Author(s):

Helal Chowdhury ◽

Janne Lehtomäki ◽

Juha-Pekka Mäkelä ◽

Sastri Kota

Keyword(s):

Wireless Networks ◽

Wireless Communication ◽

Communication Networks ◽

Signal To Noise Ratio ◽

Low Cost ◽

Access Point ◽

Wireless Communication Networks ◽

High Data ◽

Distance Relationship ◽

The Impact

Infostation, hotspot, and drive-thru internet are examples of sparse coverage-based wireless networks. These wireless communication networks provide low-cost, delay insensitive high data rate services intermittently with discontinuous coverage. Radio propagation parameters, velocity of the user, distance between the user, and access point are the key factors that affect the throughput and the amount of information downloaded from such sparse coverage-based wireless networks. To evaluate the performance of such wireless communication networks analytically the impact of above mentioned factors can be modeled with simplified relationship model such as received signal strength versus distance or signal to noise ratio versus throughput. In the paper, we exploit the relationship between throughput and distance and develop two throughput distance relationship models to evaluate the performance of multirate wireless networks. These two throughput distance relationship models are used in calculation of average throughput as well as downloaded file size. Numerical values are presented for the IEEE 802.11n standard. The numerical results verify that the new proposed technique can be used as an alternative to the simulations to evaluate the performance of sparse coverage-based wireless networks.

Download Full-text