%0 Journal Article %1 Kishor_2015 %A Shankar, Shinde Kishor %A Rajendra, Gaikwad Supriya %A Ashok, Khune Amol %A Nanaso, Ghadage Anil %D 2015 %I Auricle Technologies, Pvt., Ltd. %J International Journal on Recent and Innovation Trends in Computing and Communication %K (DD) (GA) (GB-GA) (GD) (LDACO) (WSN) A Algorithm Ant Based Colony Composite Diffusion Directed Event Genetic Grade Graph Identical Ladder Network Optimization Reduce Sensor Transmiss Wireless %N 3 %P 1361--1366 %R 10.17762/ijritcc2321-8169.1503100 %T Survey on Faulty Node Detection and Recovery Algorithm for WSN %U http://dx.doi.org/10.17762/ijritcc2321-8169.1503100 %V 3 %X In Faulty Node Detection and Recovery Algorithm for WNS critical problems like fault tolerance created. Earlier fault tolerance mechanism consume significant extra energy to detect and recover from the failure or having additional hardware and software resources. .Lifetime of sensor node is enhanced because of using diffusion algorithm combined with the genetic algorithm. When some node get faulty in network then this algorithm is useful to avoid performance related data transfer. Wireless sensor networks are having tendency to fail of sensor, due to the energy depletion, failure of hardware’s, conditions of network environment. We sure that that type of algorithm used then result is replacements of sensor nodes and more reused routing paths. Time for data transfer is depend on active nodes that’s why we detect a routing path with faulty node. Power consumption is affect the hierarchy of active nodes that’s why data is not transferred surely. In this proposed algorithm reduces the rate of data loss by approximately 98.8%, and reduces the rate of energy consumption by approximately 31.1%

@article{Kishor_2015, abstract = {In Faulty Node Detection and Recovery Algorithm for WNS critical problems like fault tolerance created. Earlier fault tolerance mechanism consume significant extra energy to detect and recover from the failure or having additional hardware and software resources. .Lifetime of sensor node is enhanced because of using diffusion algorithm combined with the genetic algorithm. When some node get faulty in network then this algorithm is useful to avoid performance related data transfer. Wireless sensor networks are having tendency to fail of sensor, due to the energy depletion, failure of hardware’s, conditions of network environment. We sure that that type of algorithm used then result is replacements of sensor nodes and more reused routing paths. Time for data transfer is depend on active nodes that’s why we detect a routing path with faulty node. Power consumption is affect the hierarchy of active nodes that’s why data is not transferred surely. In this proposed algorithm reduces the rate of data loss by approximately 98.8%, and reduces the rate of energy consumption by approximately 31.1%}, added-at = {2015-08-11T08:11:39.000+0200}, author = {Shankar, Shinde Kishor and Rajendra, Gaikwad Supriya and Ashok, Khune Amol and Nanaso, Ghadage Anil}, biburl = {https://www.bibsonomy.org/bibtex/2f8feef59f1ef2a7289733869641bf54c/ijritcc}, doi = {10.17762/ijritcc2321-8169.1503100}, interhash = {f86fb2ac45694ec32838e8095eddfb0d}, intrahash = {f8feef59f1ef2a7289733869641bf54c}, journal = {International Journal on Recent and Innovation Trends in Computing and Communication}, keywords = {(DD) (GA) (GB-GA) (GD) (LDACO) (WSN) A Algorithm Ant Based Colony Composite Diffusion Directed Event Genetic Grade Graph Identical Ladder Network Optimization Reduce Sensor Transmiss Wireless}, month = {march}, number = 3, pages = {1361--1366}, publisher = {Auricle Technologies, Pvt., Ltd.}, timestamp = {2015-08-11T08:11:39.000+0200}, title = {Survey on Faulty Node Detection and Recovery Algorithm for {WSN}}, url = {http://dx.doi.org/10.17762/ijritcc2321-8169.1503100}, volume = 3, year = 2015 }