employee
Voronezh, Russian Federation
Voronezh, Russian Federation
In the process of studying wireless sensor network protocols and communication mechanisms, the extension of network service life and minimization of node power consumption have become important indicators. In order to reduce the energy consumption caused by communication in a wireless sensor network, improve network scalability and extend the network lifecycle, it is important to intelligently connect network nodes using a certain clustering algorithm. The paper proposes an improved routing protocol for wireless sensors with low power consumption LEACH, based on data aggregation (C-LEACH). The Kalman filter algorithm was used to solve the problem of data accuracy on cluster member nodes. The principle of operation of the Kalman filter is explained by the example of the noise signal of the sensor. The above data modification model can be performed continuously to achieve the optimal evaluation and filtering effect. Thus, the volume of data sent by the node is reduced. Experimental results have shown that the proposed LEACH protocol based on data fusion (C-LEACH) effectively reduces data redundancy, reduces the power consumption of sensor nodes and prolongs the life cycle of wireless sensor networks compared to the traditional LEACH algorithm, significantly improves network integrity.
Wireless sensor network, LEACH routing protocol, Kalman filter, sensor, clustering
1. GOWDA, S.B.B. DUCA: An approach to elongate the lifetime of wireless sensor nodes / S.B.B. Gowda， G.N． Subramanya // Engineering vibration，communication and information processing. - 2019. - R. 329-337. - DOI:https://doi.org/10.1007/978-981-13-1642-5_30.
2. P-LEACH: energy efficient routing protocol for wireless sensor networks / A. Razaque， M. Abdulgader， C. Joshi [et al.] // 2016 IEEE Long Island Systems，Applications and Technology Conference (LISAT). - 2016. - R. 1. - DOI:https://doi.org/10.1109/LISAT.2016.7494137.
3. Al-Baz, A. A new algorithm for cluster head selection in leach protocol for wireless sensor networks / A.Al-Baz, A. El-Sayed // International journal of communication systems. - 2018. - Vol. 31(1). - P. e3407. - DOI:https://doi.org/10.1002/dac.3407.
4. Residual energy based cluster-head selection in WSNs for IoT application / T.M. Behera, S.K. Mohapatra, U.C. Samal [et al.] // IEEE Internet of things journal. - 2019. - Vol. 6 (3). - P. 5132.
5. Bendjeddou, A. LEACH-S: low energy adaptive clustering hierarchy for sensor network / A. Bendjeddou, H. Laoufi, S. Boudjit // 2018 International Symposium on Networks, Computers and Communications (ISNCC)．- IEEE, 2018. - P. 1. - DOI:https://doi.org/10.1109/ISNCC.2018.8531049.
6. Novikova, T.P. Production of complex knowledge-based systems: optimal distribution of labor resources management in the globalization context / T.P. Novikova, A.I. Novikov // Globalization and Its Socio-Economic Consequences. - Rajecke Teplice, Slovakia: University of Zilina, 2018. - C. 2275-2281.
7. Metody identifikacii nechetkih i stohasticheskih sistem : monografiya // S.V. Sokolov, S.M. Kovalev, P.A. Kucherenko, Yu.A. Smirnov. - Moskva, 2018. - 235 s.
8. Novikova, T.P. K voprosu vybora metodov prinyatiya upravlencheskih resheniy v social'no-ekonomicheskih sistemah / T.P. Novikova // Al'ternativnye istochniki energii v transportno-tehnologicheskom komplekse: problemy i perspektivy racional'nogo ispol'zovaniya. - 2015. - T. 2, № 1 (2). - S. 286-289. - DOI:https://doi.org/10.12737/14053.
9. Manin, A.A. Algoritm adaptacii diskretnogo fil'tra Kalmana k neopredelennosti parametrov nablyudaemogo ob'ekta / A.A. Manin, S.V. Sokolov, M.V. Polyakova // Trudy Severo-Kavkazskogo filiala Moskovskogo tehnicheskogo universiteta svyazi i informatiki. - 2020. - № 1. - S. 13-18.
10. Manin, A.A. Fil'tr Kalmana, adaptivnyy k vozmuscheniyam parametrov nablyudatelya / A.A. Manin, S.V. Sokolov, M.V. Polyakova // Trudy Severo-Kavkazskogo filiala Moskovskogo tehnicheskogo universiteta svyazi i informatiki. - 2020. - № 1. - S. 5-12.
11. Guda, A. Application of acyclic precise measurements to the solution of the problem of adaptive nonlinear Kalman's filtration / A. Guda, M. Polyakova, S. Sokolov // International Russian Automation Conference, RusAutoCon 2018. - 2018. - R. 8501615. - DOI:https://doi.org/10.1109/RUSAUTOCON.2018.8501615.
12. Sokolov, S.V. Adaptivnyy nelineynyy fil'tr Kalmana na osnove neregulyarnyh tochnyh izmereniy / S.V. Sokolov, M.V. Polyakova // Aviakosmicheskoe priborostroenie. - 2018. - № 11. - S. 10-17.
13. Evdokimova, S.A. Segmentation of store customers to increase sales using ABC-XYZ-analysis and clustering methods / S.A. Evdokimova // Journal of Physics: Conference Series. Ser. "International Conference on IT in Business and Industry, ITBI 2021". - 2021. - P. 012117. - DOI:https://doi.org/10.1088/1742-6596/2032/1/012117.
14. Evdokimova, S.A. Primenenie algoritmov klasterizacii dlya analiza klientskoy bazy magazina / S.A. Evdokimova, A.V. Zhuravlev, T.P. Novikova // Modelirovanie sistem i processov. - 2021. - T. 14, № 2. - S. 4-12. - DOI:https://doi.org/10.12737/2219-0767-2021-14-2-4-12.
15. Tong, Y. Research and improvement of energy balance in wireless sensor network based on LEACH / Y. Tong // Journal of Physics: Conference Series. - 2021. -Vol. 1738. - P. 012077. - DOI:https://doi.org/10.1088/1742-6596/1738/1/012077.
