An Efficient Way of Scheduling In Dynamic Environments Using Error Inference Technique

  Neha S Reddy,  Prof.Yogita Patil

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.

Keywords- collaborative scheduling, duty cycle, energy efficiency, error inference.

Unique Identification Number - IJEDR1502188
Page Number(s) - 1085-1090
Pubished in - Volume 3 | Issue 2 | May 2015
DOI (Digital Object Identifier) -   
Publisher - IJEDR (ISSN - 2321-9939)

  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 (IJEDR), ISSN:2321-9939, Volume.3, Issue 2, pp.1085-1090, May 2015, Available at :http://www.ijedr.org/papers/IJEDR1502188.pdf