Hierarchical cross-layer fuzzy control for compromise of multiple objectives in wireless mobile networks

Authors:
Chao-Lieh Chen;Syue-You Chen;Jeng-Wei Lee;Yau-Hwang Kuo
Affiliations:
Kun-Shan University, Tainan, Taiwan;National Cheng Kung University, Tainan, Taiwan;National Cheng Kung University, Tainan, Taiwan;National Cheng Kung University, Tainan, Taiwan
Venue:
Mobility '08 Proceedings of the International Conference on Mobile Technology, Applications, and Systems
Year:
2008

Citing 9
Cited 2

Fuzzy sets and fuzzy logic: theory and applications

Fuzzy sets and fuzzy logic: theory and applications
Modeling of hierarchical fuzzy systems

Fuzzy Sets and Systems - Theme: Learning and modeling
Optimal CWmin selection for achieving proportional fairness in multi-rate 802.11e WLANs: test-bed implementation and evaluation

WiNTECH '06 Proceedings of the 1st international workshop on Wireless network testbeds, experimental evaluation & characterization
Cross-layer-model based adaptive resource allocation for statistical QoS guarantees in mobile wireless networks

QShine '06 Proceedings of the 3rd international conference on Quality of service in heterogeneous wired/wireless networks
Noise-Referred Energy-Proportional Routing with Packet Length Adaptation for clustered sensor networks

International Journal of Ad Hoc and Ubiquitous Computing
A cautionary perspective on cross-layer design

IEEE Wireless Communications
Cross-layer wireless multimedia transmission: challenges, principles, and new paradigms

IEEE Wireless Communications
Automatic Design of Hierarchical Takagi–Sugeno Type Fuzzy Systems Using Evolutionary Algorithms

IEEE Transactions on Fuzzy Systems
Cross-layer design: a survey and the road ahead

IEEE Communications Magazine

Fairness and QoS guarantees of WiMAX OFDMA scheduling with fuzzy controls

EURASIP Journal on Wireless Communications and Networking - Special issue on fairness in radio resource management for wireless networks
Hierarchical cross-layer control ESL verification for wireless communications

Quantified Score

Hi-index	0.00

Visualization

Abstract

Adapting to wireless environment is an important and challenging issue. Optimization methods could fail since a priori finding objectives and constraints requires exact identification of wireless network's behavior which is almost impossible. Rather than using optimization theory, we propose a generic hierarchical cross-layer fuzzy control (HCLFC) model where hierarchical fuzzy control algorithms are mapped into hierarchy of protocol layers. In addition to aggregation of rule implications in an individual controller at a specific layer, aggregation controllers compromise inference results from different layers. We adopt HCLFC for collaboration of physical (PHY) and application (APP) layers where physical layer modulation and application layer packet length adaptation are compromised to meet traffic requirements. Being perfectly compatible to the open systems interconnection (OSI) architecture, the HCLFC is a generic solution to emergent wireless networks. Simulation results demonstrate that HCLFC optimally compromises objectives of different layers in highly uncertain and dynamic network conditions.