Model based on the selection of cluster heads for data collection in the mobile Internet of Things
( Pp. 31-38)

More about authors
Zhukova Natalia A. kandidat tehnicheskih nauk, docent; veduschiy nauchnyy sotrudnik
St. Petersburg Institute of Informatics and Automation of the Russian Academy of Sciences Aung Myo Thaw aspirant fakulteta programmnoy inzhenerii i kompyuternoy tehniki
ITMO University Tin Tun Aung aspirant fakulteta programmnoy inzhenerii i kompyuternoy tehniki
ITMO University Evnevich Elena L. kandidat fiziko-matematicheskih nauk; starshiy nauchnyy sotrudnik
St. Petersburg Institute of Informatics and Automation of the Russian Academy of Sciences
Internet of Things network being recently implemented in a wide variety of domains of human activities consists of multiple sensor nodes and mobile network supporting communications between the nodes and base station. Data collected by mobile devices is becoming more dynamic and complex. While solving the task of data collection in a dynamic network it becomes necessary to find the optimal balance of security, data transmission network latency and energy consumption. Taking these requirements into account a method for cluster heads selection and data collection model based on a modified LEACH-M routing protocol were developed and presented in this paper. Proposed approach ensures both secure selection of the cluster heads when collecting data and energy efficient routing. The model was evaluated by using various performance metrics such as security of data collection by cluster heads, power consumption, number of active nodes and network latency. According to the simulation results the performance of the proposed clustering model is better than that of the existing clustering models in several aspects.
How to Cite:
Zhukova N.A., Aung M.T., Tin T.A., Evnevich E.L., (2020), MODEL BASED ON THE SELECTION OF CLUSTER HEADS FOR DATA COLLECTION IN THE MOBILE INTERNET OF THINGS. Computational Nanotechnology, 4 => 31-38.
Reference list:
Heinzelman W.B., Chandrakasan A.P., Balakrishnan H. An application-specific protocol architecture for wireless microsensor networks. IEEE Transactions on Wireless Communications. 2002. Vol. 1. Iss. 4. Pp. 660-670. DOI: 10.1109/TWC.2002.804190.
Juwaied A. Jackowska-Strumitto L. Analysis of cluster heads positions in stable election protocol for Wireless Sensor Network. IEEE International Interdisciplinary PhD Workshop (IIPhDW) (Swinouj cie, Poland, May 9-12, 2018). 2018. Pp. 367-370. DOI: 10.1109/IIPHDW.2018.8388392.
Suwandhada K., Panyim K. ALEACH-Plus: An energy efficient cluster head based routing protocol for wireless sensor network. IEEE 7th International Electrical Engineering Congress (iEECON) (Hua Hin, Thailand, Mar 6-8, 2019). 2019. Pp. 1-4. DOI: 10.1109/iEECON45304.2019.8938948.
Rady A., Sabor N., Shokair M., El-Rabaie E.-S.M. Mobility based genetic algorithm hierarchical routing protocol in mobile wireless sensor networks. IEEE International Japan-Africa Conference on Electronics, Communications and Computations (JAC-ECC) (Alexandria, Egypt, Dec. 17-19, 2018). 2018. Pp. 83-86. DOI: 10.1109/JEC-ECC.2018.8679548.
Tan L., Wang M., Wang H., Liu L. Improved LEACH-M protocol for aerial sensor networks. IEEE International Conference on Computer, Information and Telecommunication Systems (CITS) (Beijing, China, Aug. 28-31, 2019). 2019. Pp. 1-4. DOI: 10.1109/CITS.2019.8862092.
Nayebi A., Sarbazi-Azad H. Performance modeling of the LEACH protocol for mobile wireless sensor networks. Journal of Parallel and Distributed Computing. 2011. Vol. 71. Iss. 6. Pp. 812-821. DOI: 10.1016/j.jpdc.2011.02.004.
Zhang D., Qiu J.-N., Zhang T., Wu H. New energy-efficient hierarchical clustering approach based on neighbor rotation for edge computing of IoT. IEEE 28th International Conference on Computer Communication and Networks (ICCCN) (Valencia, Spain, July 29 -Aug. 1, 2019). 2019. Pp. 1-2. DOI: 10.1109/ICCCN.2019.8847073.
Xu Ch., Xiong Z., Zhao G., Yu S. An energy-efficient region source routing protocol for lifetime maximization in WSN. IEEE Access. 2019. Vol. 7. Pp. 135277-135289. DOI: 10.1109/ACCESS.2019.2942321.
Camp T., Boleng J., Davies V. A survey of mobility models for ad hoc network research. Wireless Communications and Mobile Computing. 2002. Vol. 2. Iss. 5. Pp. 483-502. DOI: 10.1002/wcm.72.
Sharma S., Mittal N. An improved LEACH-MF protocol to prolong lifetime of wireless sensor networks. IEEE 8th International Advance Computing Conference (IACC) (Greater Noida, India, Dec. 14-15, 2018). 2018. Pp. 174-179. DOI: 10.1109/IADCC.2018.8692096.
Batta M.S., Harous S., Louail L., Aliouat Z.A. Distributed TDMA scheduling algorithm for latency minimization in internet of things. IEEE International Conference on Electro Information Technology (EIT) (Brookings, SD, USA, May 20-22, 2019). 2019. Pp. 108-113. DOI: 10.1109/EIT.2019.8833679.
Rehman E., Sher M., Naqvi S.H.A. et al. Energy efficient secure trust based clustering algorithm for mobile wireless sensor network. Journal of Computer Networks and Communications. 2017. Pp. 1630673:1-1630673:8. DOI: 10.1155/2017/1630673.
internet of things, LEACH protocol, cluster head, mobile devices, dynamic network.

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