TY - GEN
T1 - Jammer Localization Through Smart Estimation of Jammer's Transmission Power
AU - Aldosari, Waleed
AU - Zohdy, Mohamed
AU - Olawoyin, Richard
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/7
Y1 - 2019/7
N2 - Wireless Sensors Network (WSNs) are susceptible to jamming attacks due to the shared nature and open access medium. Jammer disrupts the wireless channel by injecting its signal into the legitimate traffic which causes it to increase the amount of noise at the receiver. In order to improve the localization accuracy, this paper proposed Distance Ratio (DR) based on Signal to Noise Ratio (SNR). The primary process of the Distance to Signal Noise Ratio (DSNR) algorithm consists of four steps: capturing jamming Signal Strength (JRSS) and computing the received power between boundary node and its neighbor, compute DR, estimating jammer's transmission power and its location, and minimizing localization error. Finally, extensive simulations are conducted to evaluate the performance, effectiveness, and the robustness of the proposed method compared to similar localization algorithms.
AB - Wireless Sensors Network (WSNs) are susceptible to jamming attacks due to the shared nature and open access medium. Jammer disrupts the wireless channel by injecting its signal into the legitimate traffic which causes it to increase the amount of noise at the receiver. In order to improve the localization accuracy, this paper proposed Distance Ratio (DR) based on Signal to Noise Ratio (SNR). The primary process of the Distance to Signal Noise Ratio (DSNR) algorithm consists of four steps: capturing jamming Signal Strength (JRSS) and computing the received power between boundary node and its neighbor, compute DR, estimating jammer's transmission power and its location, and minimizing localization error. Finally, extensive simulations are conducted to evaluate the performance, effectiveness, and the robustness of the proposed method compared to similar localization algorithms.
KW - Distance ration (DR)
KW - Jamming attacks
KW - Localization
KW - Signal to noise ratio
KW - Wireless sensor networks (WSNs)
UR - http://www.scopus.com/inward/record.url?scp=85083292180&partnerID=8YFLogxK
U2 - 10.1109/NAECON46414.2019.9058093
DO - 10.1109/NAECON46414.2019.9058093
M3 - Conference contribution
AN - SCOPUS:85083292180
T3 - Proceedings of the IEEE National Aerospace Electronics Conference, NAECON
SP - 430
EP - 436
BT - 2019 IEEE National Aerospace and Electronics Conference, NAECON 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2019 IEEE National Aerospace and Electronics Conference, NAECON 2019
Y2 - 15 July 2019 through 19 July 2019
ER -