Abstract
The Wireless Sensor Networks (WSNs) in now days are facing the additional requirement to provide the functionality to collect, analyze and integrate the sensor data, i.e. to acts as intelligent sensor networks, in addition to the typical transmission and routing functions. The energy minimization at a fixed level performance is very important in wireless sensor nodes which are mainly battery powered. Therefore the understanding of the energy consumption characteristics of each sensor node is critical for the design of energy saving monitoring strategies. The Low Power Wireless Sensor Networks (LPWSN) which are a matter of the current research are applied in many domains, such as ecological and environmental monitoring, traffic management, military applications and etc. The right and realistic model and an adequate simulation of these networks is a key step in the design of a reliable sensor networks architecture and can reduce sensitively the development cost and time. This paper develops a model of LPWSN based on Generalized Nets (GNs) to evaluate the energy consumption of Wireless Sensor Nodes. The proposed model factors important components of a typical sensor node, including SoC (System on Chip) microcontrollers with energy-saving features, wireless front-end components, and low power sensor modules. A Markov chain model of the same network with the same input data was realized as a benchmark. Both models were simulated in WSNet simulator and the data after that compared to real low powered wireless sensor node in lab environment. The output experimental results show that the GN model is more flexible and accurate to the real sensor device than the Markov Chain model and provides a scalable simulation platform to study energy-saving strategies in WSNs.
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References
Atanasova, T.: Modelling of complex objects in distance learning systems. In: Proceedings of the First International Conference - “Innovative Teaching Methodology”, Tbilisi, Georgia, 25–26 October 2014, pp. 180–190 (2014). ISBN 978-9941-9348-7-2
Balabanov, T., Zankinski, I., Barova, M.: Strategy for individuals distribution by incident nodes participation in star topology of distributed evolutionary algorithms. Cybern. Inf. Technol. 16(1), 80–88 (2016)
Akyildiz, I.F., Su, W., Sankarasubramaniam, Y., Cayirci, E.: Wireless sensor networks: a survey. Comput. Netw. 38(4), 393–422 (2002)
Estrin, D., Girod, L., Pottie, G., Srivastava, M.: Incrementing the world with wireless sensor networks. In: IEEE ICASSP 2001, vol. 4, pp. 2033–2036 (2001)
Feng, J., Koushanfar, F., Potkonjak, M.: Sensor network architecture. In: Mahgoub, I., Ilyas, M. (eds.) Handbook of Sensor Networks, Section III, no. 12. CRC Press (2004)
Sachdeva, G., Doemer, R., Chou, P.: System modeling: a case study on a wireless sensor network. Technical Report CECS-TR-05-12, University of California, 15 June 2005
Obaidat, M.S., Green, D.B.: On Modeling Networks of Wireless Microsensors, pp. 115–153. Kluwer Academic Publishers (2003)
Karl, H., Willig, A.: Protocols and Architectures for Wireless Sensor Networks. Wiley, Hoboken (2005)
Hu, P., Zhou, Z., Liu, Q., Li, F.: The HMM-based modeling for the energy level prediction in wireless sensor networks? In: Proceedings of the 2007 2nd IEEE Conference on Industrial Electronics and Applications (ICIEA 2007), pp. 2253–2258, May 2007
Misic, J., Misic, V.: Wireless Personal Area Networks: Performance, Interconnection, and Security with IEEE 802.15.4. Wiley (2008)
Mitrofanova, A.: NYU, Department of Computer Science, 18 December 2007. Lecture 3. https://cs.nyu.edu/mishra/COURSES/09.HPGP/scribe3.pdf
Cox, D.R.: The analysis of non-markovian stochastic processes by the inclusion of NN variables. Proc. Cambridge Philoso. Soc. 51(3), 433–441 (1955)
Atanassov, K.: Generalized Nets. World Scientific, Singapore (1991)
Fidanova, S., Atanasov, K., Marinov, P.: Generalized Nets and Ant Colony Optimization. Academic Publishing House (2011). Sofia, ISBN 978-954-322-473-9
Doukovska, L., Atanassova, V., Shahpazov, G., Sotirov, E.: Generalized net model of the creditworthiness financial support mechanism for the SMEs. Int. J. Comput. Inform. (2016). ISSN 1335-9150
Bobade, N.P., Mhala, N.N.: Performance evaluation of AODV and DSR on-demand routing protocols with varying manet size. Int. J. Wirel. Mob. Netw. (IJWMN) 4(1), 183–196 (2012)
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This paper is supported by the National Scientific Program “Information and Communication Technologies for a Single Digital Market in Science, Education and Security (ICTinSES)”, financed by the Ministry of Education and Science.
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Alexandrov, A., Andreev, R., Ilchev, S., Boneva, A., Ivanov, S., Doshev, J. (2021). Modeling and Simulation of Low Power Wireless Sensor Networks Based on Generalized Nets. In: Dimov, I., Fidanova, S. (eds) Advances in High Performance Computing. HPC 2019. Studies in Computational Intelligence, vol 902. Springer, Cham. https://doi.org/10.1007/978-3-030-55347-0_1
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