Ren et al., 2020 - Google Patents
Multi-feature fusion energy-saving routing in internet of things based on hybrid ant colony algorithmRen et al., 2020
- Document ID
- 1549972412589365626
- Author
- Ren X
- Yang J
- Li N
- Publication year
- Publication venue
- International Journal of Innovative Computing and Applications
External Links
Snippet
This paper analyses the research status of sensor networks and several improved LEACH protocols. It is known that there are some shortcomings in current low-energy clustering protocols: the problem of uneven network cluster and unequal energy consumption of each …
- 238000004422 calculation algorithm 0 title abstract description 48
Classifications
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02B—INDEXING SCHEME RELATING TO CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. INCLUDING HOUSING AND APPLIANCES OR RELATED END-USER APPLICATIONS
- Y02B60/00—Information and communication technologies [ICT] aiming at the reduction of own energy use
- Y02B60/50—Techniques for reducing energy-consumption in wireless communication networks
-
- 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
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L45/00—Routing or path finding of packets in data switching networks
- H04L45/02—Topology update or discovery
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network-specific arrangements or communication protocols supporting networked applications
- H04L67/10—Network-specific arrangements or communication protocols supporting networked applications in which an application is distributed across nodes in the network
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATIONS NETWORKS
- H04W52/00—Power Management, e.g. TPC [Transmission Power Control], power saving or power classes
- H04W52/04—TPC [Transmission power control]
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L45/00—Routing or path finding of packets in data switching networks
- H04L45/48—Routing tree calculation
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Kuila et al. | Energy efficient clustering and routing algorithms for wireless sensor networks: Particle swarm optimization approach | |
Rathore et al. | Towards Trusted Green Computing for Wireless Sensor Networks: Multi Metric Optimization Approach. | |
Raj et al. | A survey on cluster head selection and cluster formation methods in wireless sensor networks | |
Saravanan et al. | Energy efficient optimization algorithms for MANET | |
Xiao et al. | Minimization of Energy Consumption for Routing in High‐Density Wireless Sensor Networks Based on Adaptive Elite Ant Colony Optimization | |
Qiu et al. | QLGR: A Q-learning-based geographic FANET routing algorithm based on multi-agent reinforcement learning | |
Bozorgi et al. | A smart optimizer approach for clustering protocol in UAV-assisted IoT wireless networks | |
Menaria et al. | A fault tolerance based route optimisation and data aggregation using artificial intelligence to enhance performance in wireless sensor networks | |
Nazari et al. | An Intelligent SDN‐Based Clustering Approach for Optimizing IoT Power Consumption in Smart Homes | |
Nabavi et al. | Intelligent optimization of qos in wireless sensor networks using multiobjective grey wolf optimization algorithm | |
Komala et al. | Multi-UAV computing enabling efficient clustering-based IoT for energy reduction and data transmission | |
Hamza et al. | Energy-Efficient Routing Using Novel Optimization with Tabu Techniques for Wireless Sensor Network. | |
Chaurasia et al. | EEM-CRP: Energy Efficient Meta-heuristic Cluster based Routing Protocol for WSNs | |
Ren et al. | Multi-feature fusion energy-saving routing in internet of things based on hybrid ant colony algorithm | |
Wei et al. | Capacity of unmanned aerial vehicle assisted data collection in wireless sensor networks | |
CN104702497A (en) | Sarsa algorithm and ant colony optimization-based route control algorithm | |
Yu et al. | Opportunistic Network Routing Strategy Based on Node Individual Community | |
Ali et al. | Pegasis double cluster head hybrid congestion control in wireless sensor networks | |
Cheng et al. | An IoT ant colony foraging routing algorithm based on Markov decision model | |
Reebha | Fuzzy Logic Based Clustering With Firefly Optimized Routing Protocol For Qos Aware Wireless Sensor Networks | |
Zhu et al. | An energy balance ant colony routing algorithm for WSN | |
Kakkar | TOPSIS optimized Dual-Hop Routing Protocol for Homogeneous Wireless Sensor Networks with Grid-Based Clustering | |
Xu et al. | A dyna-Q based multi-path load-balancing routing algorithm in wireless sensor networks | |
Sadrishojaei | A delay aware routing approach for FANET based on emperor penguins colony algorithm | |
Mutar et al. | A Systematic Study of Clustering Techniques for Energy Efficiency in Wireless Sensor Networks |