naa a22 4500 510799027 CHVBK 20180411083347.0 cr unu---uuuuu 180411e20130901xx s 000 0 eng 10.1007/s11277-013-1093-0 doi (NATIONALLICENCE)springer-10.1007/s11277-013-1093-0 A Multi-Level Strategy for Energy Efficient Data Aggregation in Wireless Sensor Networks [Elektronische Daten] [Adwitiya Sinha, D. Lobiyal] In this paper, we have proposed energy efficient multi-level aggregation strategy which considers data sensing as continuous stochastic process. Our proposed strategy performs filtration of sensed data by removing the redundancy in the sensed data pattern of the sensor node using Brownian motion. Further, the filtered data at the sensor node undergoes entropy-based processing prior to the transmission to cluster head. The head node performs wavelet-based truncation of the received entropy in order to select higher information bearing packets before transmitting them to the sink. Overall, our innovative approach reduces the redundant packets transmissions yet maintaining the fidelity in the aggregated data. We have also optimized the number of samples that should be buffered in an aggregation period. In addition, the power consumption analysis for individual sensors and cluster heads is performed that considers the communicational and computational cost as well. Simulation of our proposed method reveals quality performance than existing data aggregation method based on wavelet entropy and entropy based data aggregation protocols respectively. The evaluation criteria includes—cluster head survival, aggregation cycles completed during simulation, energy consumption and network lifetime. The proposed scheme reflects high potential on practical implementation by improving the life prospects of the sensor network commendably. Springer Science+Business Media New York, 2013 Wireless sensor network nationallicence Energy-efficient multi-level aggregation nationallicence Brownian motion-based data filtering nationallicence Wavelet-entropy based data processing nationallicence Sinha Adwitiya School of Computer and Systems Sciences, Jawaharlal Nehru University, New Delhi, India aut Lobiyal D. School of Computer and Systems Sciences, Jawaharlal Nehru University, New Delhi, India aut Wireless Personal Communications Springer US; http://www.springer-ny.com 72/2(2013-09-01), 1513-1531 0929-6212 72:2<1513 2013 72 11277 https://doi.org/10.1007/s11277-013-1093-0 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s11277-013-1093-0 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Sinha Adwitiya School of Computer and Systems Sciences, Jawaharlal Nehru University, New Delhi, India aut NATIONALLICENCE 700 1- Lobiyal D. School of Computer and Systems Sciences, Jawaharlal Nehru University, New Delhi, India aut NATIONALLICENCE 773 0- Wireless Personal Communications Springer US; http://www.springer-ny.com 72/2(2013-09-01), 1513-1531 0929-6212 72:2<1513 2013 72 11277 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer