Key Technologies of Passive Wireless Sensor Networks Based on Surface Acoustic Wave Resonators

Author(s):  
Xiangwen Zhang ◽  
Fei-Yue Wang
2013 ◽  
Vol 427-429 ◽  
pp. 2540-2544 ◽  
Author(s):  
Jia Liang Lv ◽  
Ying Long Wang ◽  
Huan Qing Cui ◽  
Nuo Wei

Localization is one of the key technologies of wireless sensor networks, and the problem of localization is always formulated as an optimization problem. Particle swarm optimization (PSO) is easy to implement and requires moderate computing resources, which is feasible for localization of sensor networks. To improve the efficiency and precision of PSO-based localization methods, this paper proposes a novel three-dimensional PSO method based on weight selection (WSPSO). Simulation results show that the proposed method outperforms standard PSO and existing localization algorithms.


2008 ◽  
Vol 125 (4) ◽  
pp. 143-146 ◽  
Author(s):  
M. Flatscher ◽  
M. Dielacher ◽  
J. Prainsack ◽  
R. Matischek ◽  
Th. Herndl ◽  
...  

2011 ◽  
Vol 317-319 ◽  
pp. 1114-1118
Author(s):  
Lin Na Zhu ◽  
Hai Feng Jiang

Node self-localization is one of the key technologies in the wireless sensor networks. The localization technology based on RSSI is a focus studied at the present stage. For the localization error of RSSI-ranged method is relatively great, a kind of triangle centroid algorihms based on RSSI-ranged is proposed. The simulation results show that measurement error of this algorithm effective decrease as to tranditional triangle centroid algorithm based on RSSI-ranged.


2012 ◽  
Vol 203 ◽  
pp. 243-246
Author(s):  
Fang Pei ◽  
Jie Zhang

Wireless sensor network (WSN) is one of the key technologies of the Internet, and the problem of load balancing is an important content of the wireless sensor network (WSN). First wireless sensor networks and their characteristics are introduced in this paper, and then bottleneck network problem which is caused by the wireless sensor networks due to the presence of physical obstructions or uneven energy consumption in a real environment is studied, and a solution to optimal routing protocols based on load balancing is proposed.


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