TY - GEN
T1 - Fault Tolerant Localization Based on K-means Clustering in Wireless Sensor Networks
AU - Bhat, Soumya J.
AU - Santhosh, K. V.
PY - 2020/7
Y1 - 2020/7
N2 - Wireless Sensor Network (WSN) has been considered as an essential tool for many applications. Most of the applications of WSNs require the location of sensor nodes to be known. But, because of high power consumption and cost, it is not suitable to attach a GPS receiver with every node. For estimating the location of sensor nodes, localization algorithms make use of few location-aware nodes as reference nodes. But, sometimes, these reference nodes can turn faulty. They may estimate their locations wrongly due to software or hardware malfunctions. This affects the localization of the entire network. To overcome this problem, we have reported a fault tolerant localization algorithm called clustering based DV-Hop. This algorithm filters out faulty nodes using K-means clustering and majority voting methods. The performance of the algorithm is then compared with other localization algorithms. The reported algorithm shows better localization accuracies and more stable performance under faulty conditions.
AB - Wireless Sensor Network (WSN) has been considered as an essential tool for many applications. Most of the applications of WSNs require the location of sensor nodes to be known. But, because of high power consumption and cost, it is not suitable to attach a GPS receiver with every node. For estimating the location of sensor nodes, localization algorithms make use of few location-aware nodes as reference nodes. But, sometimes, these reference nodes can turn faulty. They may estimate their locations wrongly due to software or hardware malfunctions. This affects the localization of the entire network. To overcome this problem, we have reported a fault tolerant localization algorithm called clustering based DV-Hop. This algorithm filters out faulty nodes using K-means clustering and majority voting methods. The performance of the algorithm is then compared with other localization algorithms. The reported algorithm shows better localization accuracies and more stable performance under faulty conditions.
UR - http://www.scopus.com/inward/record.url?scp=85093073525&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85093073525&partnerID=8YFLogxK
U2 - 10.1109/CONECCT50063.2020.9198415
DO - 10.1109/CONECCT50063.2020.9198415
M3 - Conference contribution
AN - SCOPUS:85093073525
T3 - Proceedings of CONECCT 2020 - 6th IEEE International Conference on Electronics, Computing and Communication Technologies
BT - Proceedings of CONECCT 2020 - 6th IEEE International Conference on Electronics, Computing and Communication Technologies
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 6th IEEE International Conference on Electronics, Computing and Communication Technologies, CONECCT 2020
Y2 - 2 July 2020 through 4 July 2020
ER -