Jammer Location-Oriented Noise Node Elimination Method for MHWN

Abstract

It is crucial to find the location of the radio jammer for implementing anti-jamming methods and thus resuming the communication and management of MHWN. Nevertheless, due to the influence of environmental factors and the mutual interference of normal nodes, several unaffected nodes are unable to accurately identify whether they are affected by jammer and thus become noise nodes in the jammer location-oriented process, thereby influencing the precision of jamming localization algorithm and causing remarkable error. In this paper, an algorithm is put forward to eliminate noise nodes based on the Mean of Squared Distance among the nodes. Through calculating the Mean of Squared Distance of each node, the authors can find out the noise nodes and remove them. Simulation results in different jamming localization algorithms verify the correctness and effectiveness of the proposed algorithm. Analysis results reveal that the performance of the proposed algorithm is more prominent when the incidence of noise node is small.

Sequential opening multi‐jammers localisation in multi‐hop wireless network

“…In order to improve the localisation accuracy, Fan et al . [10] proposed the noise node elimination method, which employed relative distance errors to identify the noise node. Simulation results showed that the proposed method could improve the localisation performance.…”

“…Zhang et al [9] put forward a localisation method based on the α-hull and least square (LSQ) through minimising the circumscribed circle. In order to improve the localisation accuracy, Fan et al [10] proposed the noise node elimination method, which employed relative distance errors to identify the noise node. Simulation results showed that the proposed method could improve the localisation performance.…”