Sustainable Load-Balancing Scheme for Inter-Sensor Convergence Processing of Routing Cooperation Topology
AbstractRecent advancements in Information Technology (IT) have sparked the creation of numerous and diverse types of devices and services. Manual data collection measurement methods have been automated through the use of various wireless or wired sensors. Single sensor devices are included in smart devices such as smartphones. Data transmission is critical for big data collected from sensor nodes, such as Mobile Sensor Nodes (MSNs), where sensors move dynamically according to sensor mobility, or Fixed Sensor Nodes (FSNs), where sensor locations are decided by the users. False data transfer processing of big data results in topology lifespan reduction and data transfer delays. Hence, a variety of simulators and diverse load-balancing algorithms have been developed as protocol verification tools for topology lifespan maximization and effective data transfer processing. However, those previously developed simulators have limited functions, such as an event function for a specific sensor or a battery consumption rate test for sensor deployment. Moreover, since the previous load-balancing algorithms consider only the general traffic distribution and the number of connected nodes without considering the current topology condition, the sustainable load-balancing technique that takes into account the battery consumption rate of the dispersed sensor nodes is required. Therefore, this paper proposes the Sustainable Load-balancing Scheme (SLS), which maximizes the overall topology lifespan through effective and sustainable load-balancing of data transfer among the sensors. SLS is capable of maintaining an effective topology as it considers both the battery consumption rate of the sensors and the data transfer delay. View Full-Text
Scifeed alert for new publicationsNever miss any articles matching your research from any publisher
- Get alerts for new papers matching your research
- Find out the new papers from selected authors
- Updated daily for 49'000+ journals and 6000+ publishers
- Define your Scifeed now
Kim, H.-W.; Park, J.H.; Jeong, Y.-S. Sustainable Load-Balancing Scheme for Inter-Sensor Convergence Processing of Routing Cooperation Topology. Sustainability 2016, 8, 436.
Kim H-W, Park JH, Jeong Y-S. Sustainable Load-Balancing Scheme for Inter-Sensor Convergence Processing of Routing Cooperation Topology. Sustainability. 2016; 8(5):436.Chicago/Turabian Style
Kim, Hyun-Woo; Park, Jong H.; Jeong, Young-Sik. 2016. "Sustainable Load-Balancing Scheme for Inter-Sensor Convergence Processing of Routing Cooperation Topology." Sustainability 8, no. 5: 436.
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.