You are here

Modeling and Application of Effective Channel Utilization in Wireless Networks

Title: Modeling and Application of Effective Channel Utilization in Wireless Networks.
15 views
8 downloads
Name(s): Ng, Jonathan, author
Yu, Ming (Professor of scientific computing), professor directing dissertation
Zhang, Zhenghao, university representative
Harvey, Bruce A., 1961-, committee member
Andrei, Petru, committee member
Florida State University, degree granting institution
College of Engineering, degree granting college
Department of Electrical and Computer Engineering, degree granting department
Type of Resource: text
Genre: Text
Doctoral Thesis
Issuance: monographic
Date Issued: 2017
Publisher: Florida State University
Place of Publication: Tallahassee, Florida
Physical Form: computer
online resource
Extent: 1 online resource (100 pages)
Language(s): English
Abstract/Description: As a natural scarcity in wireless networks, radio spectrum becomes a major investment in network deployment. How to improve the channel utilization (CU) of the spectrum is a challenging topic in recent research. In a network environment, the utilization of a channel is measured by the effective CU (ECU), i.e., the effective time for transmission or when the medium being sensed busy over its total operation time. However, existing work does not provide a valid model for ECU. We investigate the relationship between ECU and the interference from other wireless transmission nodes in a wireless network, as well as from potential malicious attacking interfering sources. By examining the relationship between their transmission time and co-transmission time ratios between two or more interferers, we propose a new model based on the channel occupation time of all nodes in a network. The model finds its mathematical foundation on the set theory. By eliminating the overlapping transmission time intervals instead of simply adding the transmission time of all interferers together, the model can obtain the expected total interference time by properly combining the transmission time of all individual nodes along with the time when two or more nodes transmit simultaneously. Through dividing the interferers into groups according to the strength levels of their received interference power at the interested node, less significant interfering signals can be ignored to reduce the complexity when investigating real scenarios. The model provides an approach to a new detection method for jamming attacks in wireless networks based on a criterion with combined operations of ECU and CU. In the experiments, we find a strong connection between ECU and the received interference power and time. In many cases, strong and frequent interference is accompanied by a declination of ECU. The descending slope though may be steep or flat. When the decrease of ECU is not significant, CU can be observed with a sharp drop instead. Therefore, the two metrics, ECU and CU when properly combined together, demonstrate to be an effective measurement for judging strong interference. In addition, relating to other jamming detection methods in the literature, we build a mathematical connection between the new jamming detection conditions and PDR, the Packet Delivery Ratio, which has been proved effective by previous researchers. Thus, the correlation between the new criteria and PDR guarantees the validity of the former by relating itself to a tested mechanism. Both the ECU model and the jamming detection method are thoroughly verified with OPNET through simulation scenarios. The experiment scenarios are depicted with configuration data and collected statistical results. Especially, the radio jamming detection experiments simulate a dynamic radio channel allocation (RCA) module with a user-friendly graphical interface, through which the interference, the jamming state, and the channel switching process can be monitored. The model can further be applied to other applications such as global performance optimization based on the total ECU of all nodes in a wireless communications environment because ECU relates one node's transmission as the interference for others using the same channel for its global attribute, which is our work planned for the next step. We would also like to compare its effectiveness with other jamming detection methods by exploring more extensive experiment research.
Identifier: FSU_SUMMER2017_Ng_fsu_0071E_14083 (IID)
Submitted Note: A Dissertation submitted to the Department of Electrical and Computer Engineering in partial fulfillment of the requirements for the degree of Doctor of Philosophy.
Degree Awarded: Summer Semester 2017.
Date of Defense: June 27, 2017.
Keywords: Effective Channel Utilization, interference, jamming, modeling, network, wireless
Bibliography Note: Includes bibliographical references.
Advisory Committee: Ming Yu, Professor Directing Dissertation; Zhenghao Zhang, University Representative; Bruce A. Harvey, Committee Member; Petru Andrei, Committee Member.
Subject(s): Computer engineering
Electrical engineering
Persistent Link to This Record: http://purl.flvc.org/fsu/fd/FSU_SUMMER2017_Ng_fsu_0071E_14083
Owner Institution: FSU

Choose the citation style.
Ng, J. (2017). Modeling and Application of Effective Channel Utilization in Wireless Networks. Retrieved from http://purl.flvc.org/fsu/fd/FSU_SUMMER2017_Ng_fsu_0071E_14083