%0 Journal Article %1 noauthororeditor %A Das, Nandita %A Jancee, B. Victoria %A Radha, S. %D 2014 %J International Journal on Soft Computing, Artificial Intelligence and Applications (IJSCAI) %K Detection Errors Event Fault Non-Symmetric Tolerance %N 2 %P 12 %R 10.5121/ijscai.2014.3203 %T Distributed Fault-Tolerant Event Detection for Non-Symmetric Errors in Wireless Sensor Networks %U http://airccse.org/journal/ijscai/papers/3214ijscai03.pdf %V 3 %X Wireless sensor network (WSN) are powered by batteries to perform various sensing tasks in a given environment. The measurements made by the sensors are sometimes unreliable and erroneous due to noise in the sensor or hardware failure. For a large scale WSN to be economically feasible, it is important to ensure that the faulty node does not affect the overall behaviour of the system. In this paper a binary faulttolerant event detection technique has been proposed for the non-symmetric errors and its performance has been analysed. Theoretical analysis and simulation show that almost 97 percent of faults can be corrected even when 10 percent sensor nodes are faulty.

@article{noauthororeditor, abstract = {Wireless sensor network (WSN) are powered by batteries to perform various sensing tasks in a given environment. The measurements made by the sensors are sometimes unreliable and erroneous due to noise in the sensor or hardware failure. For a large scale WSN to be economically feasible, it is important to ensure that the faulty node does not affect the overall behaviour of the system. In this paper a binary faulttolerant event detection technique has been proposed for the non-symmetric errors and its performance has been analysed. Theoretical analysis and simulation show that almost 97 percent of faults can be corrected even when 10 percent sensor nodes are faulty. }, added-at = {2018-01-19T05:18:16.000+0100}, author = {Das, Nandita and Jancee, B. Victoria and Radha, S.}, biburl = {https://www.bibsonomy.org/bibtex/290ec2428f14b521a2c60e8e77b2c4e5e/leninsha}, doi = {10.5121/ijscai.2014.3203}, interhash = {54612ef5d1b920dfafd3200190c61e1a}, intrahash = {90ec2428f14b521a2c60e8e77b2c4e5e}, issn = {2319 - 1015}, journal = {International Journal on Soft Computing, Artificial Intelligence and Applications (IJSCAI)}, keywords = {Detection Errors Event Fault Non-Symmetric Tolerance}, language = {English}, month = may, number = 2, pages = 12, timestamp = {2018-01-19T05:18:16.000+0100}, title = {Distributed Fault-Tolerant Event Detection for Non-Symmetric Errors in Wireless Sensor Networks }, url = {http://airccse.org/journal/ijscai/papers/3214ijscai03.pdf}, volume = 3, year = 2014 }