DECA: distributed energy conservation algorithm for process reconstruction with bounded relative error in wireless sensor networks

作者：Henriques Felipe da Rocha^*; Lovisolo Lisandro; Rubinstein Marcelo Goncalves

来源：EURASIP Journal on Wireless Communications and Networking, 2016, 2016(1): 1-18.

DOI：10.1186/s13638-016-0662-9

• Connectivity
• Energy
• Estimation
• Reconstruction
• Wireless sensor networks

When a wireless sensor network (WSN) is employed to monitor environmental data, efficient energy usage is demanded so that the WSN lifetime can be extended. In this context, we propose a distributed energy conservation algorithm (DECA). DECA considers the known past to make predictions on the measurement change over time in order to put sensor nodes into sleep mode, saving energy. Sensor nodes compute their inactivity periods taking into account the inactivity periods of their neighboring nodes. The signals are reconstructed at the sink node, from the sampled values received from sensor nodes. DECA is designed to keep the reconstruction error of the monitored process below a given fraction of its actual value. Since DECA works on the application layer, it can be combined with medium access control and routing protocols to further improve energy management. The proposed algorithm is evaluated with simulations using real data. Results show gains in the network lifetime of up to 1000 % as compared to a WSN without any energy management, while maintaining the error of the reconstructed process at the sink within the desired fraction imposed. Since a strategy for managing the sleeping period in routing nodes is proposed, a metric for evaluating the effects of sleeping periods on network connectivity is also proposed. We have verified that the network connectivity is not impaired by the proposed algorithm, as packet delivery ratios above 90 % were obtained.

• 出版日期2016-7-8