TITLE:
Enabling Resource Awareness in Integrated Sensor Grid Framework Using Cross Layer Scheduling Mechanism
AUTHORS:
Sottallu Janakiram Subhashini, Periya Karappan Alli
KEYWORDS:
Cross Layer Scheduling, Data Aggregation, Energy Conservation, Heterogeneity, Middleware, Sensor Grid, Sensor Web, WSN Framework
JOURNAL NAME:
Circuits and Systems,
Vol.7 No.10,
August
24,
2016
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 integratingmultiple
resources. Framework for Sensor Web using the cross layer scheduling mechanisms
in the grid environment is proposed in this paper. The resource discoveryand the energy efficient data
aggregation schemes are used to improvise the effective utilization capability
in the SensorWeb. To collaborate
with multiple resources environment, the grid computing concept is integrated
with sensor web. Resourcediscovery
and the scheduling schemes in the grid architecture are organized using the
medium access control protocol. The various cross layer metrics proposedare Memory Awareness, Task Awarenessand Energy Awareness. Based on these
metrics, the parameters-Node Waiting Status, Used CPU Status, Average System
Utilization, Average Utilizationper
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 isshown
that sensor grid architecture with middleware framework has better resource
awareness thanthe normal sensor
network architectures.