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Investigating the Impact of Environmental Data Changes on the Lifetime of Wireless Sensor Network | ||
| پدافند الکترونیکی و سایبری | ||
| Article 2, Volume 12, Issue 3 - Serial Number 47, November 2024, Pages 15-22 PDF (790.25 K) | ||
| Document Type: Original Article | ||
| Authors | ||
| Jamal Zarepour-Ahmadabadi* 1; kowsar Ebrahimi2 | ||
| 1Assistant Professor, Yazd University, Yazd, Iran | ||
| 2Bachelor student, Yazd University, Yazd, Iran | ||
| Receive Date: 07 August 2024, Revise Date: 23 August 2024, Accept Date: 27 September 2024 | ||
| Abstract | ||
| One of the most important challenges for wireless sensor networks is the limitation of energy of sensors, which is directly related to the lifetime of the network. So far, many researchers tried to decrease the energy consumption of sensors, thus increase the lifetime and the efficiency of wireless sensor networks. One of the factors affecting the energy consumption of sensors is their environment. In many existing methods, it is assumed that the sensors send their sensed data at all stages, while the environment or some parts of it may not change from the previous stage, and as a result, some of the sensors may not have new data to provide at all stages. In this paper, an environmentally-aware approach is presented, where only sensors, that have sensed significant changes in their sensed information from previous step, will send their data to the base station. If their changes are insignificant, they will only send small control packets to indicate being alive. The simulation of the proposed algorithm, which is based on the probability of changes in the environment, shows at least 16.63% increase network`s lifetime. | ||
Highlights | ||
[1] A. Flammini, P. Ferrari, D. Marioli, E. Sisinni, and A. Taroni, "Wired and wireless sensor networks for industrial applications," Microelectronics journal, vol. 40, no. 9, pp. 1322-1336, 2009. [2] M. P. Đurišić, Z. Tafa, G. Dimić, and V. Milutinović, "A survey of military applications of wireless sensor networks," in 2012 Mediterranean conference on embedded computing (MECO), 2012: IEEE, pp. 196-199. [4] A. Ali, Y. Ming, S. Chakraborty, and S. Iram, "A comprehensive survey on real-time applications of WSN," Future internet, vol. 9, no. 4, p. 77, 2017. [5] D. Kandris, C. Nakas, D. Vomvas, and G. Koulouras, "Applications of wireless sensor networks: an up-to-date survey," Applied System Innovation, vol. 3, no. 1, p. 14, 2020. [6] A. Yadav, S. Kumar, and S. Vijendra, "Network life time analysis of WSNs using particle swarm optimization," Procedia computer science, vol. 132, pp. 805-815, 2018. [8] G. Saranraj, K. Selvamani, and G. Kanagachidambaresan, "Optimal energy-efficient cluster head selection (OEECHS) for wireless sensor network," Journal of The Institution of Engineers (India): Series B, vol. 100, pp. 349-356, 2019. [9] M. S. Younespour and M. Romoozi, "wireless sensor network clustering based on label propagation algorithm," Engineering Management and Soft Computing, vol. 7, no. 2, pp. 31-49, 2022. [10] H. Esmaeili, V. Hakami, B. M. Bidgoli, and M. Shokouhifar, "Application-specific clustering in wireless sensor networks using combined fuzzy firefly algorithm and random forest," Expert Systems with Applications, vol. 210, p. 118365, 2022. [11] P. V. Ujawe and S. Khiani, "Review on data aggregation techniques for energy efficiency in wireless sensor networks," International Journal of Emerging Technology and Advanced Engineering, vol. 4, no. 7, 2014. [12] M. M. Afsar and M.-H. Tayarani-N, "Clustering in sensor networks: A literature survey," Journal of Network and Computer applications, vol. 46, pp. 198-226, 2014. [13] S. E. Khediri, N. Nasri, A. Wei, and A. Kachouri, "A new approach for clustering in wireless sensors networks based on LEACH," Procedia Computer Science, vol. 32, pp. 1180-1185, 2014. [14] W. R. Heinzelman, A. Chandrakasan, and H. Balakrishnan, "Energy-efficient communication protocol for wireless microsensor networks," in Proceedings of the 33rd annual Hawaii international conference on system sciences, 2000: IEEE, p. 10 pp. vol. 2. [15] N. A. Pantazis, D. J. Vergados, D. D. Vergados, and C. Douligeris, "Energy efficiency in wireless sensor networks using sleep mode TDMA scheduling," Ad Hoc Networks, vol. 7, no. 2, pp. 322-343, 2009.. [16] I. Daanoune, A. Baghdad, and A. Balllouk, "BRE-LEACH: A new approach to extend the lifetime of wireless sensor network," in 2019 Third International Conference on Intelligent Computing in Data Sciences (ICDS), 2019: IEEE, pp. 1-6. [17] G. Gupta and M. Younis, "Load-balanced clustering of wireless sensor networks," in IEEE International Conference on Communications, 2003. ICC'03., 2003, vol. 3: IEEE, pp. 1848-1852. [18] D. Wajgi and N. V. Thakur, "Load balancing based approach to improve lifetime of wireless sensor network," International Journal of Wireless & Mobile Networks, vol. 4, no. 4, p. 155, 2012. [19] I. Daanoune, B. Abdennaceur, and A. Ballouk, "A comprehensive survey on LEACH-based clustering routing protocols in Wireless Sensor Networks," Ad Hoc Networks, vol. 114, p. 102409, 2021. [20] A. Ali, "Volatility of oil prices and public spending in Saudi Arabia: sensitivity and trend analysis," International Journal of Energy Economics and Policy, 2021. [21] S. Erdoğan, E. İ. Çevik, and A. Gedikli, "Relationship between oil price volatility and military expenditures in GCC countries," Environmental Science and Pollution Research, vol. 27, no. 14, pp. 17072-17084, 2020. [22] C. Lv, Q. Wang, W. Yan, and Y. Shen, "Energy-balanced compressive data gathering in wireless sensor networks," Journal of Network and Computer Applications, vol. 61, pp. 102-114, 2016. [23] W. Osamy, A. A. El-Sawy, and A. Salim, "CSOCA: Chicken swarm optimization based clustering algorithm for wireless sensor networks," IEEE Access, vol. 8, pp. 60676-60688, 2020. | ||
| Keywords | ||
| Wireless sensor networks; Changes rate of environment; Energy consumption; Lifetime of wireless sensor networks | ||
| Main Subjects | ||
| Electronic defense (laser, electro-optical, acoustic) | ||
| References | ||
|
[1] A. Flammini, P. Ferrari, D. Marioli, E. Sisinni, and A. Taroni, "Wired and wireless sensor networks for industrial applications," Microelectronics journal, vol. 40, no. 9, pp. 1322-1336, 2009. [2] M. P. Đurišić, Z. Tafa, G. Dimić, and V. Milutinović, "A survey of military applications of wireless sensor networks," in 2012 Mediterranean conference on embedded computing (MECO), 2012: IEEE, pp. 196-199. [4] A. Ali, Y. Ming, S. Chakraborty, and S. Iram, "A comprehensive survey on real-time applications of WSN," Future internet, vol. 9, no. 4, p. 77, 2017. [5] D. Kandris, C. Nakas, D. Vomvas, and G. Koulouras, "Applications of wireless sensor networks: an up-to-date survey," Applied System Innovation, vol. 3, no. 1, p. 14, 2020. [6] A. Yadav, S. Kumar, and S. Vijendra, "Network life time analysis of WSNs using particle swarm optimization," Procedia computer science, vol. 132, pp. 805-815, 2018. [8] G. Saranraj, K. Selvamani, and G. Kanagachidambaresan, "Optimal energy-efficient cluster head selection (OEECHS) for wireless sensor network," Journal of The Institution of Engineers (India): Series B, vol. 100, pp. 349-356, 2019. [9] M. S. Younespour and M. Romoozi, "wireless sensor network clustering based on label propagation algorithm," Engineering Management and Soft Computing, vol. 7, no. 2, pp. 31-49, 2022. [10] H. Esmaeili, V. Hakami, B. M. Bidgoli, and M. Shokouhifar, "Application-specific clustering in wireless sensor networks using combined fuzzy firefly algorithm and random forest," Expert Systems with Applications, vol. 210, p. 118365, 2022. [11] P. V. Ujawe and S. Khiani, "Review on data aggregation techniques for energy efficiency in wireless sensor networks," International Journal of Emerging Technology and Advanced Engineering, vol. 4, no. 7, 2014. [12] M. M. Afsar and M.-H. Tayarani-N, "Clustering in sensor networks: A literature survey," Journal of Network and Computer applications, vol. 46, pp. 198-226, 2014. [13] S. E. Khediri, N. Nasri, A. Wei, and A. Kachouri, "A new approach for clustering in wireless sensors networks based on LEACH," Procedia Computer Science, vol. 32, pp. 1180-1185, 2014. [14] W. R. Heinzelman, A. Chandrakasan, and H. Balakrishnan, "Energy-efficient communication protocol for wireless microsensor networks," in Proceedings of the 33rd annual Hawaii international conference on system sciences, 2000: IEEE, p. 10 pp. vol. 2. [15] N. A. Pantazis, D. J. Vergados, D. D. Vergados, and C. Douligeris, "Energy efficiency in wireless sensor networks using sleep mode TDMA scheduling," Ad Hoc Networks, vol. 7, no. 2, pp. 322-343, 2009.. [16] I. Daanoune, A. Baghdad, and A. Balllouk, "BRE-LEACH: A new approach to extend the lifetime of wireless sensor network," in 2019 Third International Conference on Intelligent Computing in Data Sciences (ICDS), 2019: IEEE, pp. 1-6. [17] G. Gupta and M. Younis, "Load-balanced clustering of wireless sensor networks," in IEEE International Conference on Communications, 2003. ICC'03., 2003, vol. 3: IEEE, pp. 1848-1852. [18] D. Wajgi and N. V. Thakur, "Load balancing based approach to improve lifetime of wireless sensor network," International Journal of Wireless & Mobile Networks, vol. 4, no. 4, p. 155, 2012. [19] I. Daanoune, B. Abdennaceur, and A. Ballouk, "A comprehensive survey on LEACH-based clustering routing protocols in Wireless Sensor Networks," Ad Hoc Networks, vol. 114, p. 102409, 2021. [20] A. Ali, "Volatility of oil prices and public spending in Saudi Arabia: sensitivity and trend analysis," International Journal of Energy Economics and Policy, 2021. [21] S. Erdoğan, E. İ. Çevik, and A. Gedikli, "Relationship between oil price volatility and military expenditures in GCC countries," Environmental Science and Pollution Research, vol. 27, no. 14, pp. 17072-17084, 2020. [22] C. Lv, Q. Wang, W. Yan, and Y. Shen, "Energy-balanced compressive data gathering in wireless sensor networks," Journal of Network and Computer Applications, vol. 61, pp. 102-114, 2016. [23] W. Osamy, A. A. El-Sawy, and A. Salim, "CSOCA: Chicken swarm optimization based clustering algorithm for wireless sensor networks," IEEE Access, vol. 8, pp. 60676-60688, 2020. | ||
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