Author(s)

Sottallu Janakiram Subhashini¹, Periya Karappan Alli²

¹Department of Computer Science and Engineering, KLN College of Information Technology, Anna University, Tamilnadu, India.
²Department of Computer Science and Engineering, Velammal College of Engineering & Technology, Anna University, Tamilnadu, India.

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.

Cross Layer Scheduling, Data Aggregation, Energy Conservation, Heterogeneity, Middleware, Sensor Grid, Sensor Web, WSN Framework

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.