Using entropy based clustering method to optimize heterogenous antennas in ad hoc wireless networks

Authors:
Yong Wang;Kang K. Yen;Hao Zhu
Affiliations:
Department of Electrical Engineering, Florida International University, Miami, FL;Department of Electrical Engineering, Florida International University, Miami, FL;Department of Electrical Engineering, Florida International University, Miami, FL
Venue:
CCNC'09 Proceedings of the 6th IEEE Conference on Consumer Communications and Networking Conference
Year:
2009

Citing 8
Cited 0

Directional virtual carrier sensing for directional antennas in mobile ad hoc networks

Proceedings of the 3rd ACM international symposium on Mobile ad hoc networking & computing
Wireless Communications: Principles and Practice

Wireless Communications: Principles and Practice
Opportunistic media access for multirate ad hoc networks

Proceedings of the 8th annual international conference on Mobile computing and networking
A MAC protocol for full exploitation of directional antennas in ad-hoc wireless networks

Proceedings of the 4th ACM international symposium on Mobile ad hoc networking & computing
Deafness: A MAC Problem in Ad Hoc Networks when using Directional Antennas

ICNP '04 Proceedings of the 12th IEEE International Conference on Network Protocols
Introduction to Machine Learning (Adaptive Computation and Machine Learning)

Introduction to Machine Learning (Adaptive Computation and Machine Learning)
An MAC Protocol for Wireless Ad-hoc Networks Using Smart Antennas

ICPADS '05 Proceedings of the 11th International Conference on Parallel and Distributed Systems - Volume 01
On Designing MAC Protocols for Wireless Networks Using Directional Antennas

IEEE Transactions on Mobile Computing

Quantified Score

Hi-index	0.00

Visualization

Abstract

Directional antennas widely used in IEEE 802.11 series protocols can offer high gain and low interference to other stations. But they also cause some side effects like the hidden terminal and deafness problems, which will deteriorate the performance of the networks significantly. Therefore, omni-directional antennas have to be used in some cases to avoid these problems. So a station equipped with antennas capable of operating in both omni-directional and directional modes is desired. In this paper, an entropy-based clustering algorithm is proposed to find an improved solution between using omni- and directional antennas, which utilizes the advantage of directional antennas and meanwhile alleviates the effects brought by directional antennas. We compare our proposed algorithms with the traditional ones and the simulation results confirm the effectiveness of our proposed method.