Joshi et al., 2023 - Google Patents
Optimized MAC Protocol Using Fuzzy-Based Framework for Cognitive Radio AdHoc NetworksJoshi et al., 2023
View PDF- Document ID
- 13845338961252766145
- Author
- Joshi N
- Kumar A
- Minenkov D
- Kaplun D
- Sharma S
- Publication year
- Publication venue
- IEEE Access
External Links
Snippet
Cognitive radio networks (CRNs) have been widely used in various applications for effective radio spectrum utilization in recent years. It is essential to fend off the growing demand for this finite natural resource for next-generation communications. In CRNs, detecting the …
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATIONS NETWORKS
- H04W84/00—Network topologies
- H04W84/18—Self-organizing networks, e.g. ad-hoc networks or sensor networks
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATIONS NETWORKS
- H04W74/00—Wireless channel access, e.g. scheduled or random access
- H04W74/08—Non-scheduled or contention based access, e.g. random access, ALOHA, CSMA [Carrier Sense Multiple Access]
- H04W74/0833—Non-scheduled or contention based access, e.g. random access, ALOHA, CSMA [Carrier Sense Multiple Access] using a random access procedure
- H04W74/0841—Non-scheduled or contention based access, e.g. random access, ALOHA, CSMA [Carrier Sense Multiple Access] using a random access procedure with collision treatment
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATIONS NETWORKS
- H04W72/00—Local resource management, e.g. wireless traffic scheduling or selection or allocation of wireless resources
- H04W72/12—Dynamic Wireless traffic scheduling; Dynamically scheduled allocation on shared channel
- H04W72/1205—Schedule definition, set-up or creation
- H04W72/1221—Schedule definition, set-up or creation based on age of data to be sent
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATIONS NETWORKS
- H04W74/00—Wireless channel access, e.g. scheduled or random access
- H04W74/08—Non-scheduled or contention based access, e.g. random access, ALOHA, CSMA [Carrier Sense Multiple Access]
- H04W74/0808—Non-scheduled or contention based access, e.g. random access, ALOHA, CSMA [Carrier Sense Multiple Access] using carrier sensing, e.g. as in CSMA
- H04W74/0816—Non-scheduled or contention based access, e.g. random access, ALOHA, CSMA [Carrier Sense Multiple Access] using carrier sensing, e.g. as in CSMA carrier sensing with collision avoidance
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATIONS NETWORKS
- H04W74/00—Wireless channel access, e.g. scheduled or random access
- H04W74/08—Non-scheduled or contention based access, e.g. random access, ALOHA, CSMA [Carrier Sense Multiple Access]
- H04W74/0866—Non-scheduled or contention based access, e.g. random access, ALOHA, CSMA [Carrier Sense Multiple Access] using a dedicated channel for access
- H04W74/0875—Non-scheduled or contention based access, e.g. random access, ALOHA, CSMA [Carrier Sense Multiple Access] using a dedicated channel for access with assigned priorities based access
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATIONS NETWORKS
- H04W72/00—Local resource management, e.g. wireless traffic scheduling or selection or allocation of wireless resources
- H04W72/04—Wireless resource allocation
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATIONS NETWORKS
- H04W28/00—Network traffic or resource management
- H04W28/02—Traffic management, e.g. flow control or congestion control
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATIONS NETWORKS
- H04W28/00—Network traffic or resource management
- H04W28/16—Central resource management; Negotiation of resources or communication parameters, e.g. negotiating bandwidth or QoS [Quality of Service]
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATIONS NETWORKS
- H04W16/00—Network planning, e.g. coverage or traffic planning tools; Network deployment, e.g. resource partitioning or cells structures
- H04W16/14—Spectrum sharing arrangements between different networks
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L47/00—Traffic regulation in packet switching networks
- H04L47/10—Flow control or congestion control
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATIONS NETWORKS
- H04W40/00—Communication routing or communication path finding
- H04W40/24—Connectivity information management, e.g. connectivity discovery or connectivity update
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Xiao et al. | Game theory models for IEEE 802.11 DCF in wireless ad hoc networks | |
Gao et al. | Contention intensity based distributed coordination for V2V safety message broadcast | |
Kasana et al. | Fuzzy-based channel selection for location oriented services in multichannel VCPS environments | |
Bkassiny et al. | Distributed Reinforcement Learning based MAC protocols for autonomous cognitive secondary users | |
Shi et al. | Competition, cooperation, and optimization in multi-hop CSMA networks | |
Gopinath et al. | Mathematical and simulation analysis of contention resolution mechanism for IEEE 802.11 ah networks | |
Joshi et al. | Optimized MAC Protocol Using Fuzzy-Based Framework for Cognitive Radio AdHoc Networks | |
Mennes et al. | A neural-network-based MF-TDMA MAC scheduler for collaborative wireless networks | |
Shi et al. | Competition, cooperation, and optimization in multi-hop CSMA networks with correlated traffic | |
Nguyen et al. | Joint offloading and IEEE 802.11 p-based contention control in vehicular edge computing | |
Tian et al. | Multi-objective surrogate modeling for real-time energy-efficient station grouping in IEEE 802.11 ah | |
Boujnoui et al. | Mathematical model based on game theory and Markov chains for analysing the transmission cost in SA-ZD mechanism | |
Ranganathan et al. | Enhancing the selection of backoff interval using fuzzy logic over wireless ad hoc networks | |
Sirhan et al. | Cognitive Radio Resource Scheduling using Multi agent QLearning for LTE | |
Arnous et al. | ILFCS: an intelligent learning fuzzy-based channel selection framework for cognitive radio networks | |
Kocak et al. | Fuzzy logic-based performance improvement on MAC layer in wireless local area networks | |
Shao et al. | Learning-based autonomous channel access in the presence of hidden terminals | |
Vanitha et al. | Game theory and fuzzy based back off algorithm for MAC protocol for multi traffic flows in ad hoc networks | |
DMITRII et al. | Optimized MAC Protocol Using Fuzzy-Based Framework for Cognitive Radio AdHoc Networks | |
Boufenneche et al. | Selfishness in secure internet of things networks: 6TiSCH case study | |
Horng et al. | Using intelligent vehicle infrastructure integration for reducing congestion in smart city | |
Suseela et al. | Cross layer protocol architecture for spectrum‐based routing in cognitive radio networks | |
Limouchi et al. | Cross-layer multi-hop broadcast based on adaptive neuro-fuzzy inference system in vanets | |
Xu et al. | MDA-SMAC: An energy-efficient improved SMAC protocol for wireless sensor networks | |
Bononi et al. | Design and performance evaluation of cross layered MAC and clustering solutions for wireless ad hoc networks |