Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Multi-hop localization is a common method which is suitable for large-scale application. Hover, it is usually influenced by the network anisotropy, leading to the instability of the localization performance. In order to reduce the influence of the network anisotropy on the localization accuracy, this paper regards the localization as a regression forecasting process by constructing the mapping relationship beten hop-counts and Euclidean distances among nodes. The method can effectively avoid the influence of anisotropy on localization, and it has low computation overhead and high localization accuracy without setting complex parameters. The simulation experimental results show that compared with the previous similar algorithms, the proposed algorithm can obtain a faster localization speed and a higher localization accuracy.
['Xiaoyong Yan', 'Aiguo Song', 'Yu Liu', 'Xuanyu Gu']
I am writing a research paper on a idea An Efficient Tolerant-Anisotropic Localization for Large-Scale Wireless Sensor Network
[{"from": "human", "value": "I am writing a research paper on a idea An Efficient Tolerant-Anisotropic Localization for Large-Scale Wireless Sensor Network"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Multi-hop localization is a common method which is suitable for large-scale application. Hover, it is usually influenced by the network anisotropy, leading to the instability of the localization performance. In order to reduce the influence of the network anisotropy on the localization accuracy, this paper regards the localization as a regression forecasting process by constructing the mapping relationship beten hop-counts and Euclidean distances among nodes. The method can effectively avoid the influence of anisotropy on localization, and it has low computation overhead and high localization accuracy without setting complex parameters. The simulation experimental results show that compared with the previous similar algorithms, the proposed algorithm can obtain a faster localization speed and a higher localization accuracy."}]