M
Marwan Krunz
Researcher at University of Arizona
Publications - 353
Citations - 12092
Marwan Krunz is an academic researcher from University of Arizona. The author has contributed to research in topics: Cognitive radio & Throughput. The author has an hindex of 57, co-authored 335 publications receiving 11316 citations. Previous affiliations of Marwan Krunz include Michigan State University & Raytheon.
Papers
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Journal ArticleDOI
Node clustering in wireless sensor networks: recent developments and deployment challenges
TL;DR: The challenges in clustering a WSN are highlighted, the design rationale of the different clustering approaches are discussed, and the proposed approaches are classified based on their objectives and design principles.
Proceedings ArticleDOI
Multi-constrained optimal path selection
Turgay Korkmaz,Marwan Krunz +1 more
TL;DR: This work proposes an efficient heuristic algorithm, H MCOP, which attempts to minimize both the nonlinear cost function and the primary cost function for the feasibility part and the optimality part of the problem, and proves that HMCOP guarantees at least the performance of GLA and often improves upon it.
Journal ArticleDOI
An overview of constraint-based path selection algorithms for QoS routing
TL;DR: This work provides an overview of heuristic algorithms for constraint-based path selection, focusing on restricted shortest path and multi-constrained path algorithms.
Journal ArticleDOI
Price-Based Spectrum Management in Cognitive Radio Networks
TL;DR: This paper proposes a novel joint power/channel allocation scheme that improves the performance through a distributed pricing approach and demonstrates its effectiveness in terms of improving the overall network throughput and reducing the average power consumption.
Proceedings ArticleDOI
CDMA-based MAC protocol for wireless ad hoc networks
A. Muqattash,Marwan Krunz +1 more
TL;DR: This work proposes a CDMA-based power controlled medium access protocol for mobile ad hoc networks that accounts for the multiple access interference (MAI), thereby addressing the notorious near-far problem that undermines the throughput performance in MANETs.