Wireless sensor network is a cluster of various sensors, which has capability of sensing and communicating the data collected. Effective and efficient data aggregation algorithm in Wireless Sensor Networks (WSNs) can increase the lifecycle of the network by bringing down the communication of unnecessary data and make the security of the networks better. The conventional data aggregation algorithm in WSNs predominantly aims to raise the level of energy utilization, and pay no heed to security and lifecycle. We propose a data aggregation algorithm by constructing a data aggregation tree to deal between energy utilization and lifecycle. The algorithm extends the duration of lifecycle by reducing the maximum energy consumption by the nodes. In scheduled data aggregation, selected communications are accounted to deal between low weighted delay and high network lifecycle. Simulation results shows that the proposed algorithm utilizes less energy for aggregation of the data from the sensor nodes, and hence increases the lifecycle of the network.

WirelessSensor Networks, scheduled data aggregation, tree based data aggregation tree

[1] RRajagopalan, P.K.Varshney."data aggregation techniques in sensor networks: survey", IEEE communications surveys and tutorials,Vol.8 Issue 4
[2] P Patil,U Kulkarni."analysis of data aggregation techniques in wireless sensor networks”,International Journal of Computational Engineering and Management,Vol.16 Issue 1.
[3] Hu Yanhua,Zhang Xincai. "Aggregation tree data aggregation algorithm in wireless sensor network". International journal of online and biomedical engineering,Vol.12,http://dx.doi.org/10.3991/ijoe.v12i06.5408
[4] Goel P K, Sharma V K. "Data Aggregation Security in Wireless Sensor Network". International Journal of Advanced Research in Computer Science, Vol.3,Issue 5
[5] Li H, Lin K, Li K. Energy-efficient and high-accuracy secure data aggregation in wireless sensor networks[J]. Computer Communications, 2011, 34(4): 591-597. http://dx.doi.org/10.1016/j.com com.2010.02.026
[6] Ibrahim Atoui et al. "Tree-based data aggregation approach in wireless sensor network using fitting functions".Sixth International Conference on Digital Information Processing and Communications
[7] Katiyar V, Chand N, Soni S. Clustering algorithms for heterogeneous wireless sensor network: A survey[J]. International Journal of Advanced Networking and Applications, 2011, 2(4): 745-754.
[8] Boyinbode O, Le H, Takizawa M. A survey on clustering algorithms for wireless sensor networks[J]. International Journal of Space-Based and Situated Computing, 2011, 1(2-3): 130-136. http://dx.doi.org/10.1504/IJSSC.2011.040339
[9] Przydatek B, Song D, Perrig A. SIA: Secure information aggregation in sensor networks[C]//Proceedings of the 1st international conference on Embedded networked sensor systems. ACM, 2003: 255-265.
[10] Mahimkar A, Rappaport T S. SecureDAV: A secure data aggregation and verification protocol for sensor networks[C]//Global Telecommunications Conference, 2004. GLOBECOM`04. IEEE. IEEE, 2004, 4: 2175-2179.
[11] Cai D, He X, Han J. SRDA: An efficient algorithm for large-scale discriminant analysis[J]. Knowledge and Data Engineering, IEEE Transactions on, 2008, 20(1): 1-12. http://dx.doi.org/10.1109/ TKDE.2007.190669
[12] Sugandhi N, Manivannan D. Analysis of Various Deterioration Factors of Data Aggregation in Wireless Sensor Networks[J]. IJET, Vol.5, No1, ISSN, 2013: 0974-4024.
Sun Y, Luo H, Das S K. A trust-based framework for fault tolerant data aggregation in wireless multimedia sensor networks[J]. Dependable and Secure Computing, IEEE Transactions on, 2012, 9(6): 785-797. http://dx.doi.org/10.1109/TDSC.2012.68
[13] Wu J Q, Guo J H. Improved pattern-based encrypted data aggregation scheme for clustered wireless sensor networks[C]//Design, Manufacturing and Mechatronics: Proceedings of the 2015 International Conference on Design, Manufacturing and Mechatronics (ICDMM2015). World Scientific, 2015: 475-481.