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- W2892052020 abstract "Wireless Sensor Networks are majorly used in areas like volcano, fire observing, remote sensing, arm forces etc. With use of data aggregation methods, the cost of communication and also the consumption of energy is reduced in WSN's. Partial results are combined using data aggregation techniques, for nodes present in lower layer. Related work shows the methods and techniques designed and implemented by different researchers like synopsis diffusion, predicate count and sum methods. These presented techniques have issues; they are not able to identify fake sub aggregate of compromised nodes. This may create a huge problem in data at the base station. For aggregation of data this system makes use of Logical OR operation on digest on mediatory nodes. This also can create a major risk while modification of information. To handle this problem, appending technique to reduce the risk present in data aggregation is developed. In our system, Base Station is able to identify the alternate path thereby removing the attacker by making use of collected MAC method. Test results show the proposed technique, best compared with the present system." @default.
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- W2892052020 date "2017-08-01" @default.
- W2892052020 modified "2023-09-25" @default.
- W2892052020 title "Tree Based Aggregation in WSN for Preventing Compromised Nodes" @default.
- W2892052020 doi "https://doi.org/10.1109/iccubea.2017.8463702" @default.
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