An Energy-Efficient Approach to Enhance Virtual Sensors Provisioning in Sensor Clouds Environments
AbstractVirtual sensors provisioning is a central issue for sensors cloud middleware since it is responsible for selecting physical nodes, usually from Wireless Sensor Networks (WSN) of different owners, to handle user’s queries or applications. Recent works perform provisioning by clustering sensor nodes based on the correlation measurements and then selecting as few nodes as possible to preserve WSN energy. However, such works consider only homogeneous nodes (same set of sensors). Therefore, those works are not entirely appropriate for sensor clouds, which in most cases comprises heterogeneous sensor nodes. In this paper, we propose ACxSIMv2, an approach to enhance the provisioning task by considering heterogeneous environments. Two main algorithms form ACxSIMv2. The first one, ACASIMv1, creates multi-dimensional clusters of sensor nodes, taking into account the measurements correlations instead of the physical distance between nodes like most works on literature. Then, the second algorithm, ACOSIMv2, based on an Ant Colony Optimization system, selects an optimal set of sensors nodes from to respond user’s queries while attending all parameters and preserving the overall energy consumption. Results from initial experiments show that the approach reduces significantly the sensor cloud energy consumption compared to traditional works, providing a solution to be considered in sensor cloud scenarios. 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
Lemos, M.V.S.; Filho, R.H.; Rabêlo, R.A.L.; de Carvalho, C.G.N.; Mendes, D.L.S.; Costa, V.G. An Energy-Efficient Approach to Enhance Virtual Sensors Provisioning in Sensor Clouds Environments. Sensors 2018, 18, 689.
Lemos MVS, Filho RH, Rabêlo RAL, de Carvalho CGN, Mendes DLS, Costa VG. An Energy-Efficient Approach to Enhance Virtual Sensors Provisioning in Sensor Clouds Environments. Sensors. 2018; 18(3):689.Chicago/Turabian Style
Lemos, Marcus V.S.; Filho, Raimir H.; Rabêlo, Ricardo A.L.; de Carvalho, Carlos G.N.; Mendes, Douglas L.S.; Costa, Valney G. 2018. "An Energy-Efficient Approach to Enhance Virtual Sensors Provisioning in Sensor Clouds Environments." Sensors 18, no. 3: 689.
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.