Attenuate the Network Lifetime in Wireless Sensor Networks
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Abstract
Wireless Sensor Networks are one of the well-established and as well as im- proving areas, which have a prominent role in many existing technologies. The day-to-day advancement in this field made a direction for growing low-power, low-cost, along with multi functioning of the sensors. This collective formation of the system with motes or sensors is Wireless Sensor Network (WSN). WSNs follow the principle of ”EAAs” stands for Everyone, Anywhere, Anytime. The nodes in the network have certain limitations in terms of memory, power, etc. Clustering the nodes in the network is an efficient and most preferable technique to address the problem of better performance of the wireless sensor networks. In this work, we provide a re-modified approach for cluster head selection for the transmission of data between nodes, cluster heads, and mote with a low packet loss ratio. The Statistical results of the two existing approaches and the pro- posed approach are compared for 100 iterations and shown in results. The time complexity of the proposed approach is also calculated.
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L. Mainetti, L. Patrono, and A. Vilei, “Evolution of wireless sensor networks towards the internet of things: A survey,” in SoftCOM 2011, 19th international conference on software, telecommunications and computer networks, pp. 1–6, IEEE, 2011.
Q. Zhu, R. Wang, Q. Chen, Y. Liu, and W. Qin, “Iot gateway: Bridgingwireless sensor networks into in- ternet of things,” in 2010 IEEE/IFIP International Conference on Embedded and Ubiquitous Computing, pp. 347–352, Ieee, 2010.
D. P. Agrawal, “Applications of sensor networks,” in Embedded Sensor Systems, pp. 35–63, Springer, 2017.
K. K. Khedo, R. Perseedoss, A. Mungur, et al., “A wireless sensor network air pollution monitoring system,” arXiv preprint arXiv:1005.1737, 2010.
K. A. Darabkh and J. N. Zomot, “An improved cluster head selection algorithm for wireless sen- sor networks,” in 2018 14th International Wireless Communications & Mobile Computing Conference (IWCMC), pp. 65–70, IEEE, 2018.
T. Khan, K. Singh, M. Abdel-Basset, H. V. Long, S. P. Singh, M. Manjul, et al., “A novel and comprehen- sive trust estimation clustering based approach for large scale wireless sensor networks,” IEEE Access, vol. 7, pp. 58221–58240, 2019.
S. S. Desai and M. J. Nene, “Node-level trust evaluation in wireless sensor networks,” IEEE Transactions on Information Forensics and Security, vol. 14, no. 8, pp. 2139–2152, 2019.
S. J. Ramson and D. J. Moni, “Applications of wireless sensor networks—a survey,” in 2017 International Conference on Innovations in Electrical, Electronics, Instrumentation and Media Technology (ICEEIMT), pp. 325–329, IEEE, 2017.
A. Wheeler, “Commercial applications of wireless sensor networks using zigbee,” IEEE Communications Magazine, vol. 45, no. 4, pp. 70–77, 2007.
B. Rashid and M. H. Rehmani, “Applications of wireless sensor networks for urban areas: A survey,” Journal of network and computer applications, vol. 60, pp. 192–219, 2016.
I. A. T. Hashem, V. Chang, N. B. Anuar, K. Adewole, I. Yaqoob, A. Gani, E. Ahmed, and H. Chiroma, “The role of big data in smart city,” International Journal of Information Management, vol. 36, no. 5, pp. 748–758, 2016.
M. M. Warrier and A. Kumar, “An energy efficient approach for routing in wireless sensor networks,” Procedia Technology, vol. 25, pp. 520–527, 2016.
P. Kuila and P. K. Jana, Clustering and routing algorithms for wireless sensor networks: Energy efficiency approaches. Chapman and Hall/CRC, 2017.
W. Dargie and C. Poellabauer, Fundamentals of wireless sensor networks: theory and practice. John Wiley & Sons, 2010.
K. Akkaya and M. Younis, “A survey on routing protocols for wireless sensor networks,” Ad hoc networks, vol. 3, no. 3, pp. 325–349, 2005.
X. Liu, “A survey on clustering routing protocols in wireless sensor networks,” sensors, vol. 12, no. 8, pp. 11113–11153, 2012.
V. K. Arora, V. Sharma, and M. Sachdeva, “A survey on leach and other’s routing protocols in wireless sensor network,” Optik, vol. 127, no. 16, pp. 6590–6600, 2016.
C. Gherbi, Z. Aliouat, and M. Benmohammed, “A survey on clustering routing protocols in wireless sensor networks,” Sensor Review, vol. 37, no. 1, pp. 12–25, 2017.
O. Boyinbode, H. Le, A. Mbogho, M. Takizawa, and R. Poliah, “A survey on clustering algorithms for wireless sensor networks,” in 2010 13th International conference on network-based information systems, pp. 358–364, IEEE, 2010.
M. Shurman, N. Awad, M. F. Al-Mistarihi, and K. A. Darabkh, “Leach enhancements for wireless sensor networks based on energy model,” in 2014 IEEE 11th International Multi-Conference on Systems, Signals & Devices (SSD14), pp. 1–4, IEEE, 2014.
R. T. Al-Zubi, N. Abedsalam, A. Atieh, and K. A. Darabkh, “Lifetime-improvement routing protocol for wireless sensor networks,” in Proceedings of the 15th IEEE Multiconference on Systems, Signals, and Devices (SSD’18), 2018.
Y. Li, N. Yu, W. Zhang, W. Zhao, X. You, and M. Daneshmand, “Enhancing the performance of leach protocol in wireless sensor networks,” in 2011 IEEE conference on computer communications workshops (INFOCOM WKSHPS), pp. 223–228, IEEE, 2011.
A. Krishnakumar and V. Anuratha, “An energy-efficient cluster head selection of leach protocol for wire- less sensor networks,” in 2017 International Conference on Nextgen Electronic Technologies: Silicon to Software (ICNETS2), pp. 57–61, IEEE, 2017.