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.
Highlights
With the introduction of Micro Electro Mechanical Systems (MEMS) [1], various progresses take place in the size reduction of the electronic circuits and thereby integrating multiple applications in a single chip
We have presented Sensor Grid based architecture with middleware framework containing cross layer scheduling mechanisms
Straight forwarded asynchronous distributed algorithm along with Energy Efficient Data Routing for In-Network Aggregation (EEDRINA) algorithm is implemented in the middleware framework to improve the resource awareness metrics
Summary
With the introduction of Micro Electro Mechanical Systems (MEMS) [1], various progresses take place in the size reduction of the electronic circuits and thereby integrating multiple applications in a single chip. Various heterogeneous applications Wireless Personal Area Networks, Wireless Sensor Networks and Long Term Evolution devices can be integrated in the web based platform using the grid architecture. The communication between these multiple standards shall be Figure 1. The integration of heterogeneous applications, cross layer scheduling mechanisms are to be established in the middleware framework among the high tier, medium tier and the low tier protocols. Energy Efficient Data Routing for In-Network Aggregation (EEDRINA) algorithm is incorporated to establish an optimal resource discovery and maintenance mechanism It institutes an effective data fusion and data aggregation scheme in the sensor grid architecture
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