"Widespread use of resource constrained wireless ad hoc networks requires careful management of the network resources in order to maximize the utilization. In cognitive wireless networks, resources such as spectrum, energy, communication links/paths, time, space, modulation scheme, have to be managed to maintain quality of service (QoS). Therefore in the first paper, a distributed dynamic channel allocation scheme is proposed for multi-channel wireless ad hoc networks with single-radio nodes. The proposed learning scheme adapts the probabilities of selecting each channel as a function of the error in the performance index at each step.
Due to frequent changes in topology and flow traffic over time, wireless ad hoc networks require a dynamic routing protocol that adapts to the changes of the network while allocating network resources. In the second paper, approximate dynamic programming (ADP) techniques are utilized to find dynamic routes, while solving discrete-time Hamilton-Jacobi-Bellman (HJB) equation forward-in-time for route cost. The third paper extends the dynamic routing to multi-channel multi-interface networks which are affected by channel uncertainties and fading channels. By the addition of optimization techniques through load balancing over multiple paths and multiple wireless channels, utilization of wireless channels throughout the network is enhanced.
Next in the fourth paper, a decentralized game theoretic approach for resource allocation of the primary and secondary users in a cognitive radio networks is proposed. The priorities of the networks are incorporated in the utility and potential functions which are in turn used for resource allocation. The proposed game can be extended to a game among multiple co-existing networks, each with different priority levels"--Abstract, page iv.
Zawodniok, Maciej Jan, 1975-
Sarangapani, Jagannathan, 1965-
Electrical and Computer Engineering
Ph. D. in Computer Engineering
Air Force Research Laboratory (Wright-Patterson Air Force Base, Ohio)
Missouri University of Science and Technology. Center for Aerospace Manufacturing Technologies
Missouri University of Science and Technology. Intelligent Systems Center
National Science Foundation (U.S.)
Missouri University of Science and Technology
Journal article titles appearing in thesis/dissertation
- Dynamic channel allocation in wireless networks using adaptive learning automata
- Adaptive dynamic routing for wireless ad hoc networks using nonlinear optimal framework
- Dynamic routing for multi-channel multi-interface wireless ad hoc networks using online optimal framework
- Distributed cooperative resource allocation for primary and secondary users with adjustable priorities in cognitive radio networks
xi, 187 pages
© 2010 Behdis Eslamnour, All rights reserved.
Dissertation - Open Access
Library of Congress Subject Headings
Ad hoc networks (Computer networks) -- Design
Cognitive radio networks
Routing protocols (Computer network protocols)
Wireless sensor networks -- Design
Print OCLC #
Electronic OCLC #
Link to Catalog Recordhttp://laurel.lso.missouri.edu/record=b8272976~S5
Eslamnour, Behdis, "Adaptive resource allocation for cognitive wireless ad hoc networks" (2010). Doctoral Dissertations. 2090.