Enabling Resource Awareness in Integrated Sensor Grid Framework Using Cross Layer Scheduling Mechanism ()
ABSTRACT
Researches related to
wireless sensor networks primarily concentrate on Routing, Location Services,
Data Aggregation and Energy Calculation Methods. Due to the heterogeneity of
sensor networks using the web architecture, cross layer mechanism can be
implemented for integrating multiple
resources. Framework for Sensor Web using the cross layer scheduling mechanisms
in the grid environment is proposed in this paper. The resource discovery and the energy efficient data
aggregation schemes are used to improvise the effective utilization capability
in the Sensor Web. To collaborate
with multiple resources environment, the grid computing concept is integrated
with sensor web. Resource discovery
and the scheduling schemes in the grid architecture are organized using the
medium access control protocol. The various cross layer metrics proposed are Memory Awareness, Task Awareness and Energy Awareness. Based on these
metrics, the parameters-Node Waiting Status, Used CPU Status, Average System
Utilization, Average Utilization per
Cluster, Cluster Usage per Hour and Node Energy Status are determined for the
integrated heterogeneous WSN with sensor web in Grid Environment. From the
comparative analysis, it is shown
that sensor grid architecture with middleware framework has better resource
awareness than the normal sensor
network architectures.
Share and Cite:
Subhashini, S. and Alli, P. (2016) Enabling Resource Awareness in Integrated Sensor Grid Framework Using Cross Layer Scheduling Mechanism.
Circuits and Systems,
7, 3212-3227. doi:
10.4236/cs.2016.710274.
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