TY - GEN
T1 - Indoor Mobile Localization Using Wireless Sensor Networks (WSNs)
AU - Bin Waheed, M. Hamza
AU - Rais, Rao Naveed Bin
AU - Khan, Hassan
AU - Bano, Mukhtiar
AU - Gilani, Syed Sherjeel A.
N1 - Publisher Copyright:
© 2020, Springer Nature Switzerland AG.
PY - 2020
Y1 - 2020
N2 - Localization is an important technique in wireless sensor networks, through which position systems came into existence. This research proposes a method for indoor localization using triangulation of wireless sensor networks (WSNs) to learn the expected location. In WSNs, the settled nodes transmit signals and their received signal strength index (RSSI) values measured between the settled nodes and mobile node, which then converted into the distance providing three distances that is significant for triangulation. The issue with using RSSI is that the estimate distance is not equal to the exact distance between settled nodes and mobile node. The reason behind this is that the RSSI signal has to face the adjacent channel interference, elevated noise floor due to high temperature, huge shadowing loss and due to scattering objects. Thus there may be some parameters which can be included for compensating this kind of error.
AB - Localization is an important technique in wireless sensor networks, through which position systems came into existence. This research proposes a method for indoor localization using triangulation of wireless sensor networks (WSNs) to learn the expected location. In WSNs, the settled nodes transmit signals and their received signal strength index (RSSI) values measured between the settled nodes and mobile node, which then converted into the distance providing three distances that is significant for triangulation. The issue with using RSSI is that the estimate distance is not equal to the exact distance between settled nodes and mobile node. The reason behind this is that the RSSI signal has to face the adjacent channel interference, elevated noise floor due to high temperature, huge shadowing loss and due to scattering objects. Thus there may be some parameters which can be included for compensating this kind of error.
UR - https://www.scopus.com/pages/publications/85083995037
U2 - 10.1007/978-3-030-44038-1_31
DO - 10.1007/978-3-030-44038-1_31
M3 - Conference contribution
AN - SCOPUS:85083995037
SN - 9783030440374
T3 - Advances in Intelligent Systems and Computing
SP - 341
EP - 351
BT - Web, Artificial Intelligence and Network Applications - Proceedings of the Workshops of the 34th International Conference on Advanced Information Networking and Applications, WAINA 2020
A2 - Barolli, Leonard
A2 - Amato, Flora
A2 - Moscato, Francesco
A2 - Enokido, Tomoya
A2 - Takizawa, Makoto
PB - Springer
T2 - Workshops of the 34th International Conference on Advanced Information Networking and Applications, WAINA 2020
Y2 - 15 April 2020 through 17 April 2020
ER -