Energy-Efficient Reconstruction of Environmental Data with a Multihop Wireless Sensor Network

In this work, real environmental data are monitored with a multihop Wireless Sensor Network (WSN). An algorithm for energy conservation of sensor nodes is used to extend the network autonomy, increasing its lifetime. Temperature and hu- midity signals are sensed by nodes and transmitted to a sink node. Both signals are reconstructed at the sink node, with samples that it receives from sensor nodes. The algorithm considers the variation rate of the monitored data, in order to manage the need for communication. Thus, it aims at reducing the amount of transmissions and nodes can sleep between transmissions, to save energy. Simulations are performed, and we observed that both signals could be reconstructed, with a significant decrease in the amount of transmissions and an increase in the network lifetime. Moreover, a high network connectivity is obtained, with a packet delivery ratio greater than 90%.