A data gathering scheme in wireless sensor networks using a spiking neural network with simple local information

Abstract

In wireless sensor networks (WSNs), compact wireless sensor nodes are deployed in observation area, form an impromptu network and gather sensing data periodically. Thereby, the environmental observation of large-scale area can be realized remotely. In the synchronization-based data gathering scheme, transmission timings for sensing data are synchronized by using spiking neural oscillators. Using this scheme, the number of the transmissions and receptions, and node power consumption can be reduced. However, in the conventional scheme, the duplicate transmissions of the same sensing data by plural wireless sensor nodes should be improved. In this paper, a new data gathering scheme reducing duplicate transmissions of sensing data is proposed. In the proposed scheme, simple local information is used for transmissions and receptions of sensing data. Then, the traffic of the whole network can be significantly reduced. In the simulation experiments, the effectiveness of the proposed scheme is verified. © 2012 Springer-Verlag.