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Articles by Yiduo Mei
Total Records ( 2 ) for Yiduo Mei
  Wei Wei , Ang Gao , Bin Zhou and Yiduo Mei
  A number of recent advances in MAC protocols for wireless sensor networks have been proposed to decrease idle listening. Low-Power-Listening (LPL) protocols transmit data packets for the inter-listening interval, for this reason, allowing sensor nodes to sleep for long periods of time between channel probes. The inter-listening interval as well as the particular type of LPL protocol ought to well match the network conditions. Some LPL protocols break communication between the sender and the receiver after the data packet has been successfully received. In this study, a novel variable rate based time frame scheduling scheme is proposed to further reduce collisions and improve energy saving in wireless sensor networks. During this pre-schedule slot, each node knows exactly the schedule of other neighbor nodes. Multi-rate and power scaling are adopted to achieve further energy saving by employing an acceptable rate rather than the maximum rate. Data rate is dynamically adjusted according to the traffic load of sending nodes in an energy efficient data rate to retrench energy. Compared with Z-MAC, performance in the present study proves to have better ability of local framing pre-schedule and multi-rate achieves better energy efficiency. Our results show that using the improved method of the MAC schedule provides up the enhancement of lifetime for different traffic scenarios.
  Wei Wei , Bin Zhou , Ang Gao and Yiduo Mei
  A number of practical events result in a natural information potential field in the proximity of the phenomenon. A novel method is proposed in this study to approximate the information potentials fields in Wireless Sensor Networks (WSNs). The moving least-square method is introduced to solve related Partial Differential Equations (PDEs). This equation determines a smooth edition of the intrinsic potential field maintained major characters which is propitious to most applications of WSNs. For instance, navigation in parking yards, temperature, motion or pollutants, etc. The association between the nodes and the local information level are also considered in this method. Various information potentials fields can be integrated together naturally attribute to the well property of the PDEs. Efficiency and stability of our scheme are verified by numerical examples. The simulation results make clear that the presented way is advantageous to be used in WSNs.
 
 
 
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