{'fraction_non_alphanumeric': 0.02456140350877193, 'fraction_numerical': 0.0, 'mean_word_length': 5.374301675977653, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
CMD-Based NLOS Identification and Mitigation in Wireless Sensor Networks

Sensor localization is an important branch of wireless sensor networks. Traditional positioning algorithms rely on line-of-sight (LOS) transmission between transmitters and receiver to achieve high positioning accuracy. However, these methods may result in large error if they are fed with non-line-of-sight (NLOS) measurements. Since the errors caused by NLOS are always positive, a Cayley-Menger determinant (CMD) based NLOS identification and mitigation algorithm is proposed in this paper, referred to as CNIM. Firstly, all anchors are grouped and NLOS detection algorithm is carried out for each group to detect whether there exist NLOS signals. Then the specific LOS and NLOS anchors are identified by traversing the detection results of all groups. Finally, only LOS anchors are used to estimate the sensor location in combination with LS/RWGH localization algorithms. Simulations are conducted to investigate the performance of CNIM in comparison with other conventional algorithms. The simulation results confirm the effectiveness of the proposed algorithm.