TY - GEN
T1 - Priority Based Localization for Anisotropic Wireless Sensor Networks
AU - Bhat, Soumya J.
AU - Santhosh, K. V.
N1 - Publisher Copyright:
© 2020 IEEE.
Copyright:
Copyright 2021 Elsevier B.V., All rights reserved.
PY - 2020/10/30
Y1 - 2020/10/30
N2 - Wireless Sensor Networks (WSN) are used in a number of applications like volcanic monitoring, forest fire control systems for monitoring and control of the events. Networks are formed by the random deployment of nodes in the required fields, which are usually anisotropic. Locations of the deployed nodes are essential to act on the collected data. To estimate the locations of nodes in the network, a number of localization algorithms are developed which make use of techniques such as hop distances and centroid to estimate the positions of nodes. These algorithms showed sub-optimal results when tested in anisotropic fields with obstructions. In this work, a priority based localization algorithm is reported, which gives priority to a few reference nodes based on their Average Hop Distances (AHD). Nodes are then localized with weighted centroid method using high priority reference nodes. The simulation results show that the localization results of the reported algorithm is better than the existing weighted centroid methods in anisotropic fields.
AB - Wireless Sensor Networks (WSN) are used in a number of applications like volcanic monitoring, forest fire control systems for monitoring and control of the events. Networks are formed by the random deployment of nodes in the required fields, which are usually anisotropic. Locations of the deployed nodes are essential to act on the collected data. To estimate the locations of nodes in the network, a number of localization algorithms are developed which make use of techniques such as hop distances and centroid to estimate the positions of nodes. These algorithms showed sub-optimal results when tested in anisotropic fields with obstructions. In this work, a priority based localization algorithm is reported, which gives priority to a few reference nodes based on their Average Hop Distances (AHD). Nodes are then localized with weighted centroid method using high priority reference nodes. The simulation results show that the localization results of the reported algorithm is better than the existing weighted centroid methods in anisotropic fields.
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U2 - 10.1109/DISCOVER50404.2020.9278090
DO - 10.1109/DISCOVER50404.2020.9278090
M3 - Conference contribution
AN - SCOPUS:85099694997
T3 - 2020 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics, DISCOVER 2020 - Proceedings
SP - 52
EP - 56
BT - 2020 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics, DISCOVER 2020 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2020 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics, DISCOVER 2020
Y2 - 30 October 2020 through 31 October 2020
ER -