A low energy consumption clustering algorism based on LEACH is researched. Firstly, A method for obtaining the number of clusters k is given, then using the K-Means algorism to divide all the sensor nodes in WSN to th...A low energy consumption clustering algorism based on LEACH is researched. Firstly, A method for obtaining the number of clusters k is given, then using the K-Means algorism to divide all the sensor nodes in WSN to the k clusters, in the whole network life cycle the cluster will not changed, and when the energy of cluster head is lower than some threshold, it will be changed. The data transmission between cluster heads to sink node use mixed model, namely, the cluster near the sink node using the single hop and the one far from it using the multiple hops. The experiment shows our method has the longer life cycle and more received information. It is an effective clustering protocol.展开更多
In order to solve the uneven node load in the tradition clustering routing protocols, a new clustering algorism based on SOM is proposed. Firstly, the network radio model and the energy consumption model are defined. ...In order to solve the uneven node load in the tradition clustering routing protocols, a new clustering algorism based on SOM is proposed. Firstly, the network radio model and the energy consumption model are defined. A new algorism using SOM to form the cluster and select the cluster head is defined. In the clustering node remain energy and the Euclidean distance from cluster head to the cluster member are considered. The experiment shows our method has the longer life cycle and less total energy consumption. It is an effective clustering protocol.展开更多
In a high relative humidity(RH)environment,it is challenging for ethanol sensors to maintain a high response and excellent selectivity.Herein,tetragonal rutile SnO_(2)nanosheets decorated with NiO nanoparticles were s...In a high relative humidity(RH)environment,it is challenging for ethanol sensors to maintain a high response and excellent selectivity.Herein,tetragonal rutile SnO_(2)nanosheets decorated with NiO nanoparticles were synthesized by a two-step hydrothermal process.The NiO-decorated SnO_(2)nanosheet-based sensors displayed a significantly improved sensitivity and excellent selectivity to ethanol gas.For example,the 3 mol%NiO-decorated SnO_(2)(SnO_(2)-3Ni)sensor reached its highest response(153 at 100 ppm)at an operating temperature of 260℃.Moreover,the SnO_(2)-3Ni sensor had substantially improved moisture resistance.The excellent properties of the sensors can be attributed to the uniform dispersion of the NiO nanoparticles on the surface of the SnO_(2)nanosheets and the formation of NiO-SnO_(2)p–n heterojunctions.Considering the long-term stability and reproducibility of these sensors,our study suggests that the NiO nanoparticle-decorated SnO_(2)nanosheets are a promising material for highly efficient detection of ethanol.展开更多
文摘A low energy consumption clustering algorism based on LEACH is researched. Firstly, A method for obtaining the number of clusters k is given, then using the K-Means algorism to divide all the sensor nodes in WSN to the k clusters, in the whole network life cycle the cluster will not changed, and when the energy of cluster head is lower than some threshold, it will be changed. The data transmission between cluster heads to sink node use mixed model, namely, the cluster near the sink node using the single hop and the one far from it using the multiple hops. The experiment shows our method has the longer life cycle and more received information. It is an effective clustering protocol.
文摘In order to solve the uneven node load in the tradition clustering routing protocols, a new clustering algorism based on SOM is proposed. Firstly, the network radio model and the energy consumption model are defined. A new algorism using SOM to form the cluster and select the cluster head is defined. In the clustering node remain energy and the Euclidean distance from cluster head to the cluster member are considered. The experiment shows our method has the longer life cycle and less total energy consumption. It is an effective clustering protocol.
基金This work was supported in part by the Shenzhen Science and Technology Innovation Committee under Grants JCYJ20170412154426330in part by the Guangdong Natural Science Funds under Grants 2016A030306042 and 2018A050506001in part by the Guangdong Special Support Program under Grant 2015TQ01X555.
文摘In a high relative humidity(RH)environment,it is challenging for ethanol sensors to maintain a high response and excellent selectivity.Herein,tetragonal rutile SnO_(2)nanosheets decorated with NiO nanoparticles were synthesized by a two-step hydrothermal process.The NiO-decorated SnO_(2)nanosheet-based sensors displayed a significantly improved sensitivity and excellent selectivity to ethanol gas.For example,the 3 mol%NiO-decorated SnO_(2)(SnO_(2)-3Ni)sensor reached its highest response(153 at 100 ppm)at an operating temperature of 260℃.Moreover,the SnO_(2)-3Ni sensor had substantially improved moisture resistance.The excellent properties of the sensors can be attributed to the uniform dispersion of the NiO nanoparticles on the surface of the SnO_(2)nanosheets and the formation of NiO-SnO_(2)p–n heterojunctions.Considering the long-term stability and reproducibility of these sensors,our study suggests that the NiO nanoparticle-decorated SnO_(2)nanosheets are a promising material for highly efficient detection of ethanol.
