Study on A Modified Adaptive Compressed Sensing Algorithm in Wireless Sensor Network of Microgrid

In this paper, an improved adaptive compressed sensing algorithm is proposed to meet the requirement towards data transmission that the wireless sensor network applied in the microgrid should be precise and low-energy. The algorithm proposed in this paper takes reconstruction property and energy balance of node into account when choosing observation vectors, in order to avoid damage on the whole network structure caused by over-rapid consumed energy of certain nodes, residual energy of nodes is also considered in this improved algorithm to make the algorithm able to decrease the transmission quantity of overall data and balance the load of various nodes in the wireless sensor network at the same time. It can be seen in the simulation result that compared with the conventional algorithm, the algorithm proposed in the paper is obviously improved in aspects of network lifetime and precision of data reconstruction in wireless sensor network of microgrid.