a new algorithm to improve the energy Consumption in wireless sensor networks with energy harvesting.

Wireless sensor networks are the most used networks in various industries. There are usually some limitations for using them in practice, because of the limitation of battery capacity and lack of useful lifetime. Hence, in this study we present an energy efficiency optimization algorithm including clustering, routing and compression methods to increase the lifetime of sensor nodes. In the proposed algorithm, all nodes use solar energy harvesting, where at first we determine the weights of each node in certain areas of the network to form the clusters. After selecting the members of each cluster and forming clusters, the information that received by each cluster-head is aggregated and the volume of this information is reduced using a compression algorithm. Then, the compressed information is transmitted to the base station by a combination routing method. In conclusion, simulation results show the average remaining energy of the sensor and the number of live nodes in the proposed algorithm has significantly improved compared to that associated with the NEEC algorithm.