篇名 | A Localization Parameter Estimation Model for CKN-based WirelessSensor Networks |
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卷期 | 22:4 |
作者 | Yuan-Fang Chen 、 Ming-Chu Li 、 Xue-Chao Cheng |
頁次 | 038-046 |
關鍵字 | Localization parameters 、 estimation model 、 dynamic parameter estimation 、 wireless sensor networks 、 EI 、 MEDLINE 、 Scopus |
出刊日期 | 201201 |
Abstract. Location information of nodes is the basis for many applications in wireless sensor networks(WSNs). However, most previous localization methods make the unrealistic assumption: all nodes in WSNare always awake. This overlooks the common scenario that sensor nodes are duty-cycled to save energy. Inthis paper we propose a model about localization parameters estimation (LPEM), based on duty-cycled nodes.The model solve: How is the relationship between the parameters (i.e., transmission radius (r), critical neighbornumber (k) and the number of nodes (n)) in duty-cycle-based network? And we can use this model to estimateany parameter when the other parameters are known. We conduct a large number of experiments inWSNs simulator Matlab, and find that the parameters are interactional. Moreover, using our model can getthe parameters configuration to achieve near-optimal localization accuracy while we run localization algorithm.