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He Ninghui
Wuhan university of Technology

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Energy-saving Routing Algorithm Based on Cluster in WSN He Ninghui; Li Hongsheng; Gao Jing
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 2: February 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

This paper takes the improved threshold formula and cluster radios formulas to choose cluster-heads by considering energy-saving, based on typical clustering routing protocol and optimal cluster-head selection formula. In the forming stage of cluster, the proportionality principle is used to make the distribution of cluster even more reasonable and during the stable stage of cluster, the member nodes in cluster use TDMA to communicate with the cluster-head node, and cluster-head nodes communicate with base station BS via multi-hop interrupt communication manner. Then it proposed the realization of target tracking based on the energy- saving routing algorithm. Finally, it can be seen in the simulation results that on the behalf of the network lifetime and average energy consumption, energy-saving routing algorithm is more reasonable. DOI: http://dx.doi.org/10.11591/telkomnika.v11i2.2032
Multi-sensor Data Processing and Fusing Based on Kalman Filtering Bian Guangrong; Li Hongsheng; He Ninghui
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 3: March 2013
Publisher : Institute of Advanced Engineering and Science

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The background of this paper is the warehouse target localization and tracking system which is composed of a number of wireless sensor nodes. Firstly this paper established a model of warehouse target localization and tracking system, then a model of multi-sensor data preprocessing and data fusion was established, and self-adaptive linear recursive method was used to eliminate outliers of the original measured data. Then least squares fitting filter was used to do filtering and denoising for the measured data. In the end, the data which were measured by multi-sensor can be fused by Kalman Filtering algorithm. Data simulation analysis shows that the use of kalman filtering algorithm for the fusion of the data measured by multi-sensor is to obtain more accurate warehouse target location data, so as to increase the positioning and tracking accuracy of the warehouse target localization and tracking system.Key Words:Wireless Sensor Network,Data Fusion,Kalman Filtering DOI: http://dx.doi.org/10.11591/telkomnika.v11i3.2195
Co-Authors Bian Guangrong Gao Jing Li Hongsheng