Haq et al., 2020 - Google Patents
E2-MACH: Energy efficient multi-attribute based clustering scheme for energy harvesting wireless sensor networksHaq et al., 2020
View HTML- Document ID
- 18231630763034581130
- Author
- Haq I
- Javaid Q
- Ullah Z
- Zaheer Z
- Raza M
- Khalid M
- Ahmed G
- Khan S
- Publication year
- Publication venue
- International Journal of Distributed Sensor Networks
External Links
Snippet
Internet of things have emerged enough due to its applications in a wide range of fields such as governance, industry, healthcare, and smart environments (home, smart, cities, and so on). Internet of things–based networks connect smart devices ubiquitously. In such scenario …
- 238000003306 harvesting 0 title abstract description 52
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
- H04W4/00—Mobile application services or facilities specially adapted for wireless communication networks
- H04W4/02—Mobile application Services making use of the location of users or terminals, e.g. OMA SUPL, OMA MLP or 3GPP LCS
- H04W4/023—Mobile application Services making use of the location of users or terminals, e.g. OMA SUPL, OMA MLP or 3GPP LCS using mutual or relative location information between multiple location based services [LBS] targets or of distance thresholds
-
- 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
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L63/00—Network architectures or network communication protocols for network security
-
- 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
-
- 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
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Guo et al. | Optimizing the lifetime of wireless sensor networks via reinforcement-learning-based routing | |
| Ilyas et al. | Trust-based energy-efficient routing protocol for Internet of things–based sensor networks | |
| Haq et al. | E2-MACH: Energy efficient multi-attribute based clustering scheme for energy harvesting wireless sensor networks | |
| Huang et al. | Energy-efficient monitoring in software defined wireless sensor networks using reinforcement learning: A prototype | |
| Dhanaraj et al. | Hybrid and dynamic clustering based data aggregation and routing for wireless sensor networks | |
| Tran et al. | Uwsns: A round-based clustering scheme for data redundancy resolve | |
| Lee et al. | A new energy-efficient cluster-based routing protocol using a representative path in wireless sensor networks | |
| Enam et al. | A uniform clustering mechanism for wireless sensor networks | |
| Kiani et al. | Designing a dynamic protocol for real-time Industrial Internet of Things-based applications by efficient management of system resources | |
| Zhang et al. | A secure hierarchical key management scheme in wireless sensor network | |
| Jaffri et al. | TEZEM: A new energy-efficient routing protocol for next-generation wireless sensor networks | |
| Qiang et al. | An efficient cluster head selection approach for collaborative data processing in wireless sensor networks | |
| Chen et al. | Lifetime optimization algorithm with mobile sink nodes for wireless sensor networks based on location information | |
| Kumar et al. | Multi-hop data communication algorithm for clustered wireless sensor networks | |
| Zeng et al. | IHSCR: Energy-efficient clustering and routing for wireless sensor networks based on harmony search algorithm | |
| Lee et al. | A self-organized and smart-adaptive clustering and routing approach for wireless sensor networks | |
| Yang et al. | An energy-efficient and fault-tolerant convergecast protocol in wireless sensor networks | |
| Yang et al. | A distributed reclustering hierarchy routing protocol using social welfare in wireless sensor networks | |
| Akbar et al. | A multi-hop angular routing protocol for wireless sensor networks | |
| Hawbani et al. | Sensors grouping hierarchy structure for wireless sensor network | |
| Shen et al. | A routing-benefited deployment approach combining static and dynamic layouts for underwater optical wireless networks | |
| Visalakshi et al. | Detection and prevention of spoofing attacks in mobile adhoc networks using hybrid optimization algorithm | |
| Ma et al. | A hybrid energy-and time-driven cluster head rotation strategy for distributed wireless sensor networks | |
| Hong et al. | Performance evaluation of a simple cluster-based aggregation and routing in wireless sensor networks | |
| Wu et al. | An energy-balance and game-theory-based cluster formation method for wireless sensor networks |