In wireless sensor networks (WSN), the clustering technique reduces energy efficiency and network lifetime. In this paper, a Fuzzy-based clustering architecture is proposed for cooperative communication in WSN in order to overcome this issue. In this work, a Cluster Head (CH) is chosen based on the parameters residual energy, trust, signal-to-interference-plus-noise ratio and load. Then, the intra-cluster routing is performed using network coding-based probabilistic routing scheme. The fuzzy-based clustering protocol helps in determining the cooperative node (CN) which joins the cluster. Finally, particle swarm optimization is used to establish the optimum path between each CN and the CH for data transmission. The simulation results show that the proposed technique enhances the network lifetime and energy efficiency.

A Fuzzy Based Energy-aware Clustering Architecture for Cooperative Communication in WSN

In this paper, a novel technique is proposed for energy efficient switching transmission scheme in a wireless sensor network (WSN). Distributed sensors can cooperate with the neighborhood and transmit their data to the data collector by choosing a proper transmission mode adaptively based on the channel conditions and distance among the sensors. The analytic performances of two MIMO transmission modes and SIMO can be accessed by investigating the statistical properties of a correlated virtual multiple-input multiple-output (MIMO) channel between the sensors and data collector. The energy efficiencies of two MIMO transmission modes namely spatial multiplexing, transmit diversity are also evaluated. Based on these result, a new energy efficient mode switching criterion between spatial multiplexing, transmit diversity and SIMO suitable to a WSN is derived.

Energy-efficient switching transmission scheme for a cooperative WSN

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Energy-efficient switching transmission scheme for a cooperative WSN