Performance Optimization in Wireless Sensor Networks: A Novel Collaborative Compressed Sensing Approach

In this paper, we present need-based clustering (NbC) with dynamic sink mobility (DSM-NbC) scheme for WSNs using a collaborative compressed sensing approach. The scheme incorporates dynamic sink mobility in a way that mobile sink moves from dense regions towards sparse regions. Intelligently moving the sink to high density regions ensure maximum collection of data. As more number of nodes are able to send data directly to the mobile sink, therefore, significant amount of energy is saved in each particular round. However, there is a certain limitation to this approach. Nodes which are far from sink have to wait much for their turn. So, there are chances of buffer overflow that is not desirable. To overcome this issue, our scheme includes NbC. Clustering (communication via cluster heads) becomes the part for those regions which are away from mobile sink. Most importantly, we deploy a collaborative communication scheme that significantly reduces the energy consumption and increases network lifespan. Simulation results show that DSM-NbC outperforms other protocols in terms of stability period, network lifetime and computational complexity.