Abstract
The Internet of Things (IoT) refers to connecting electronic devices to the Internet. It refers to a network comprised of physical objects capable of collecting and sharing information. The physical object includes sensors, aggregators, communication channels, etc. In wireless sensor networks (WSNs), the long lifetime requirement of various applications and limited energy storage capability of sensor nodes had led us to find out new horizon for reducing power consumption upon nodes. The sensors used are of delay tolerant application such as agricultural field, which are mostly battery dependent. Hence conserving the energy of this sensor may increase its durability for a longer period of time. This project is a mixture of hardware and software technology that the existing architecture varies with the domain of design, quality of service factor, interoperability, etc. Here we are majorly focused on the perception layer and the processing layer of the sensor device. The problem focused in the processing layer is storage management and heterogeneous task scheduling which increases complexity. Thus we design our algorithm for the efficient storage of data, load distribution, and communication efficiency by altering the existing algorithm for better durability. The simulation is done using SENSEnuts software and the algorithm is implemented in the microcontroller which is embedded in the sensor. The result shows that there is a markable improvement in conserving the energy of the sensor.
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References
Froytlog, A., Foss, T., Bakker, O., Jevne, G., Haglund, M.A., Li, F.Y., Oller, L., Li, G.Y.: Ultra-low power wake-up radio for 5G IoT. IEEE Commun. Mag. 57(3), 111–117 (2019)
Tahiliani, V., Dizalwar, M.: Green IoT systems: an energy efficient perspective. In 2018 Eleventh International Conference on Contemporary Computing (IC3), pp. 1–6. IEEE (2018)
Steinfeld, L., Silveira, F., Ritt, M., Carro, L.: A new memory banking system for energy-efficient wireless sensor networks. In 2013 IEEE International Conference on Distributed Computing in Sensor Systems, pp. 215–222. IEEE (2013)
Ali, A., Abo-Zahhad, M., Farrag, M.: Modeling of wireless sensor networks with minimum energy consumption. Arab. J. Sci. Eng. 42(7), 2631–2639 (2017)
Abo-Zahhad, M., Farrag, M., Ali, A., Amin, O.: An energy consumption model for wireless sensor networks. In 5th International Conference on Energy Aware Computing Systems & Applications, pp. 1–4. IEEE (2015)
Khriji, S., Chéour, R., Goetz, M., El Houssaini, D., Kammoun, I., Kanoun, O.: Measuring energy consumption of a wireless sensor node during transmission: Panstamp. In 2018 IEEE 32nd International Conference on advanced information networking and applications (AINA), pp. 274–280. IEEE (2018)
Li, K., Ni, W., Duan, L., Abolhasan, M., Niu, J.: Wireless power transfer and data collection in wireless sensor networks. IEEE Trans. Veh. Technol. 67(3), 2686–2697 (2018)
Kamyabpour, N., Hoang, D. B.: Modeling overall energy consumption in Wireless Sensor Networks. arXiv, 1112.5800. (2011)
Calle, Maria.: Energy consumption in wireless sensor networks using GSP. Sch. Inform. Sci. (2006)
JN516x Microcontroller data sheet. https://www.nxp.com/docs/en/data-sheet/JN516X.pdf. Accessed 4 Jul 2021
IEEE Standard for Local and metropolitan area networks-Part 15.4: Low-Rate Wireless Personal Area Networks (LR-WPANs). In: IEEE Std 802.15.4–2011 (Revision of IEEE Std 802.15.4–2006), pp.1–314. IEEE (2011)
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Zaki, W.S.W., Vajravelu, A., Wahab, M.H.A., Murugesan, G., Jude, M.J.A., Nishrhutha, N. (2022). Improving the Life Span of IoT Sensor Devices Using Smart Packet Filtration Algorithm. In: Kaiser, M.S., Ray, K., Bandyopadhyay, A., Jacob, K., Long, K.S. (eds) Proceedings of the Third International Conference on Trends in Computational and Cognitive Engineering. Lecture Notes in Networks and Systems, vol 348. Springer, Singapore. https://doi.org/10.1007/978-981-16-7597-3_29
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DOI: https://doi.org/10.1007/978-981-16-7597-3_29
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