Li et al., 2013 - Google Patents
Energy-aware routing in wireless sensor networks using local betweenness centralityLi et al., 2013
View HTML- Document ID
- 16615834230383753740
- Author
- Li X
- Guan Z
- Publication year
- Publication venue
- International Journal of Distributed Sensor Networks
External Links
Snippet
We propose an energy-aware dynamic routing strategy in order to provide balanced energy consumption in wireless sensor networks, hence, prolonging the lifetime of the network. The proposed routing algorithm uses local betweenness centrality to estimate the energy …
- 238000005265 energy consumption 0 abstract description 34
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
- G06F17/30286—Information retrieval; Database structures therefor; File system structures therefor in structured data stores
-
- 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
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for a specific business sector, e.g. utilities or tourism
- G06Q50/01—Social networking
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management, e.g. organising, planning, scheduling or allocating time, human or machine resources; Enterprise planning; Organisational models
- G06Q10/063—Operations research or analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce, e.g. shopping or e-commerce
- G06Q30/02—Marketing, e.g. market research and analysis, surveying, promotions, advertising, buyer profiling, customer management or rewards; Price estimation or determination
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Li et al. | Energy-aware routing in wireless sensor networks using local betweenness centrality | |
Guo et al. | Optimizing the lifetime of wireless sensor networks via reinforcement-learning-based routing | |
Sadagopan et al. | Maximizing data extraction in energy-limited sensor networks | |
Kiani et al. | Efficient intelligent energy routing protocol in wireless sensor networks | |
Yu et al. | An energy-aware distributed unequal clustering protocol for wireless sensor networks | |
Jiang et al. | Fuzzy-logic-based energy optimized routing for wireless sensor networks | |
Han et al. | A novel wireless sensor networks structure based on the SDN | |
Wu et al. | End-to-end data collection strategy using mobile sink in wireless sensor networks | |
Kumar et al. | Multi-hop data communication algorithm for clustered wireless sensor networks | |
Lee et al. | A new energy-efficient cluster-based routing protocol using a representative path in wireless sensor networks | |
Yin et al. | A task allocation strategy for complex applications in heterogeneous cluster–based wireless sensor networks | |
Ha et al. | Energy-efficient fire monitoring over cluster-based wireless sensor networks | |
Chen et al. | Lifetime optimization algorithm with mobile sink nodes for wireless sensor networks based on location information | |
Li et al. | Energy optimization of ant colony algorithm in wireless sensor network | |
Liu et al. | An efficient algorithm of constructing virtual backbone scheduling for maximizing the lifetime of dual-radio wireless sensor networks | |
Gou et al. | Improved LEACH protocol based on efficient clustering in wireless sensor networks | |
Jothikumar et al. | EUCOR: An Efficient Unequal Clustering and Optimal Routing in wireless sensor networks for energy conservation | |
Sathish Kumar et al. | Underwater clustering based hybrid routing protocol using fuzzy ELM and hybrid ABC techniques | |
Zhou et al. | A multiple-dimensional tree routing protocol for multisink wireless sensor networks based on ant colony optimization | |
Nasridinov et al. | Skyline-based aggregator node selection in wireless sensor networks | |
Luo et al. | A dynamic virtual force-based data aggregation algorithm for wireless sensor networks | |
Fu et al. | Energy-balanced separating algorithm for cluster-based data aggregation in wireless sensor networks | |
Chen et al. | Constructing maximum-lifetime data-gathering tree in WSNs based on compressed sensing | |
Pu et al. | A multicast routing protocol with pruning and energy balancing for wireless sensor networks | |
Fu et al. | Optimal mobile sensor scheduling for a guaranteed coverage ratio in hybrid wireless sensor networks |