IJERT-Elimination of Data Redundancy and Latency Improving in Wireless Sensor Networks (original) (raw)
2014, International Journal of Engineering Research and Technology (IJERT)
https://www.ijert.org/elimination-of-data-redundancy-and-latency-improving-in-wireless-sensor-networks https://www.ijert.org/research/elimination-of-data-redundancy-and-latency-improving-in-wireless-sensor-networks-IJERTV3IS080443.pdf The data aggregation and energy consumption of the sensor nodes play an important role in Working of WSN. So it is necessary to minimize the data redundancy and continuous monitoring operation results in more energy consumption of the sensor nodes. To resolve this problem we built an aggregate tree for given size of sensor network. SVM method was applied on tree to eliminate the redundant data. The LSH code is generated in each node and code are sent to supervisor node. The supervisor node find out sensor node with same data select only sensor node to send actual data Supervisor node contain detail about distance between the node and redundant data. By using a protocol 'Dynamic Energy Efficient Latency Improving Protocol We find out shortest distance between each nodes by adding all distance between each nodes. Actual data transfer only after confirming the shortest path .The overhead of Network traffic is reduced, resulting in improvement of energy efficiency and latency and perform better in all the scenarios for different size network.
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