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Energy-Efficient Adaptive Dynamic Sensor Scheduling for Target Monitoring in Wireless Sensor Networks
- Source :
- ETRI Journal. 33:857-863
- Publication Year :
- 2011
- Publisher :
- Wiley, 2011.
-
Abstract
- Due to uncertainties in target motion and randomness of deployed sensor nodes, the problem of imbalance of energy consumption arises from sensor scheduling. This paper presents an energy-efficient adaptive sensor scheduling for a target monitoring algorithm in a local monitoring region of wireless sensor networks. Owing to excessive scheduling of an individual node, one node with a high value generated by a decision function is preferentially selected as a tasking node to balance the local energy consumption of a dynamic clustering, and the node with the highest value is chosen as the cluster head. Others with lower ones are in reserve. In addition, an optimization problem is derived to satisfy the problem of sensor scheduling subject to the joint detection probability for tasking sensors. Particles of the target in particle filter algorithm are resampled for a higher tracking accuracy. Simulation results show this algorithm can improve the required tracking accuracy, and nodes are efficiently scheduled. Hence, there is a 41.67% savings in energy consumption.
- Subjects :
- Engineering
Brooks–Iyengar algorithm
General Computer Science
business.industry
Real-time computing
Energy consumption
Dynamic priority scheduling
Fair-share scheduling
Electronic, Optical and Magnetic Materials
Key distribution in wireless sensor networks
Sensor node
Mobile wireless sensor network
Electrical and Electronic Engineering
business
Computer Science::Operating Systems
Wireless sensor network
Subjects
Details
- ISSN :
- 12256463
- Volume :
- 33
- Database :
- OpenAIRE
- Journal :
- ETRI Journal
- Accession number :
- edsair.doi...........aec591fdc6a9d9a85d5aa3e991f812fe