Abstract
In general sensor networks have a wide range of application and also play a major role in developing precision and timely information. Mostly it deals with real world applications and in many cases the data sensed by the nodes should deliver within the time constriction. Meeting the deadlines is mandate for the applications and the data should be processed as soon as possible and without major data losses. The objective of this scheme is to collect data with high accuracy and low latency. Collecting and processing the data by means of aggregation will greatly reduce the congestion data rate. Cross Layer Design based Hybrid Error Control (CLDHEC) mechanism is proposed for reducing error rate occurred in sensor network which includes formation of network, data aggregation and transmission. Error control technique named Adaptive Forward Error Correction is used to defend the video transmission by recovering source information losses. FEC mechanism along with packet range control greatly increases the FEC efficiency in wireless networks. The service quality for different kind of data can be improved by lessening error rate using adaptive error control mechanism with cross layered design during packet aggregation.
Highlights
Solomon (RS) codes and Convolutional codes.WSN includes numerous tiny sensor nodes that is deployed over sensing environment for the purpose of tracking and monitoring
Simulation Analysis and Results: To validate the method proposed here, a simulation scenario with 50 nodes deployed and configured as the subterranean wireless network is used with the specifications mentioned in the table 1
The performance of the proposed system Cross Layer Design based Hybrid Error Control (CLDHEC) is compared with conventional system, which is analyzed in this work using simulation results
Summary
FEC is a prominent method for error control which employs error correcting codes for correcting the errors occurred due to channel defections. The redundancy is used by the receiver for error detection and correction purpose. FEC is enhanced for increasing the video throughput at receiver end before FEC recovering process and as needs be an equivalent or better mistake recovery execution is accomplished with less data transfer capacity utilization. An adaptive FEC scheme joined with packet size control is developed to simultaneously adjust the transmitting packet size and the level of FEC excess dependent on the minimum data transfer capacity utilization strategy. The FEC code with various scales such as bitlevel, byte-level and packet level affects the error recovery execution over the blunder inclined channel. By viewing bundles as the FEC coding things and marking a succession number onto every packet to show the relating position inside the square, packet level FEC is appeared to have a high proficiency over error-prone remote systems [1]
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