An Efficient Way of Scheduling In Dynamic Environments Using Error Inference Technique
- Neha S Reddy
- Prof.Yogita Patil
collaborative scheduling, duty cycle, energy efficiency, error inference.
Due to self monitoring and dynamic scheduling property of the sensor nodes, these sensor nodes can be deployed in highly dynamic environments. As the nodes are deployed in a network, scheduling among the nodes becomes important in order to save energy, reduce sensing gap and to transfer the sensed data reliably. Due to limited power in sensors dynamic scheduling with data quality management is required in the practical deployment of long-lasting wireless sensor network applications. To achieve proper scheduling among sensor nodes we use an efficient collaborative scheduling approach called as collaborative inferred error sensing called as CIES. Within a node as sensing probability bound is used to control sensing error. Among neighborhood, the nodes can trigger sensing activities when inferred error has exceeded the tolerance. This scheduling mechanism for collaborative sensors is developed to achieve the error bounded scheduling control in monitoring applications.
Neha S Reddy, Prof.Yogita Patil. "An Efficient Way of Scheduling In Dynamic Environments Using Error Inference Technique".INTERNATIONAL JOURNAL OF ENGINEERING DEVELOPMENT AND RESEARCH ISSN:2321-9939, Vol.3, Issue 2, pp.1085-1090, URL :https://rjwave.org/ijedr/papers/IJEDR1502188.pdf
Volume 3 Issue 2
Pages. 1085-1090
