Nanodust Network for Surveillance System to Detect, Classify and Track Enemy Intrusion |
Author(s): |
| N.SivaKumar , Raja College of Engineering and Technology; T.Sivasankari, Raja College of Engineering and Technology |
Keywords: |
| Target Detection and Tracking, Sleep Scheduling Method, PPSS |
Abstract |
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Wireless Sensor Networks has numerous nodes with limited energy in a particular area have major issues is increasing the network life time. Tracking Performance can be improved that the target motion predicated and also trajectory can be awakened when the nodes were operated on a duty cycling mode will negatively influence the energy efficiency of wireless sensor networks . Our proposed work has prolonged the increasing the network life time in wireless sensor Networks using Probability-based Prediction and Sleep Scheduling protocol (PPSS) to improve energy efficiency of proactive wake up . Our results indicate PPSS improves energy efficiency by 25-45 percent (simulation based) and 16.9 percent (implementation based), 5-15 percent on the detection delay (simulation based). |
Other Details |
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Paper ID: IJSRDV3I2185 Published in: Volume : 3, Issue : 2 Publication Date: 01/05/2015 Page(s): 485-488 |
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