An Innovative Multiple Attribute Based Distributed Clustering with Sleep/Wake Scheduling Mechanism for WSN

• Autorzy: Chavan Shankar D. , Jagdale Shahaji R. , Kulkarni Dhanashree A. , Jadhav Sneha R.

Identyfikatory

DOI

10.24425/ijet.2021.137831

• Języki publikacji: EN

Abstrakty

EN

Wireless sensor network is a dynamic field of networking and communication because of its increasing demand in critical Industrial and Robotics applications. Clustering is the technique mainly used in the WSN to deal with large load density for efficient energy conservation. Formation of number of duplicate clusters in the clustering algorithm decreases the throughput and network lifetime of WSN. To deal with this problem, advance distributive energy-efficient adaptive clustering protocol with sleep/wake scheduling algorithm (DEACP-S/W) for the selection of optimal cluster head is presented in this paper. The presented sleep/wake cluster head scheduling along with distributive adaptive clustering protocol helps in reducing the transmission delay by properly balancing of load among nodes. The performance of algorithm is evaluated on the basis of network lifetime, throughput, average residual energy, packet delivered to the base station (BS) and CH of nodes. The results are compared with standard LEACH and DEACP protocols and it is observed that the proposed protocol performs better than existing algorithms. Throughput is improved by 8.1% over LEACH and by 2.7% over DEACP. Average residual energy is increased by 6.4% over LEACH and by 4% over DEACP. Also, the network is operable for nearly 33% more rounds compared to these reference algorithms which ultimately results in increasing lifetime of the Wireless Sensor Network.

Słowa kluczowe

EN

advanced distributed energy; energy efficient; adaptive clustering; clustering; lifetime; sleep-wake cluster head scheduling; throughput; wireless sensor network

• Wydawca: Polish Academy of Sciences, Committee of Electronics and Telecommunication
• Czasopismo: International Journal of Electronics and Telecommunications
• Rocznik: 2021
• Tom: Vol. 67, No. 3
• Strony: 437--443
• Opis fizyczny: Bibliogr. 22 poz., tab., schem., wykr.

Twórcy

autor

Chavan Shankar D.

• Dr. D. Y. Patil Institute of Technology, Pimpri, Pune

autor

Jagdale Shahaji R.

• Dr. D. Y. Patil Institute of Technology, Pimpri, Pune

autor

Kulkarni Dhanashree A.

• Dr. D. Y. Patil Institute of Technology, Pimpri, Pune

autor

Jadhav Sneha R.

• Dr. D. Y. Patil Institute of Technology, Pimpri, Pune

Bibliografia

• [1] K. Sohraby, D. Minoli, T. Znati, “Wireless sensor networks: technology, protocols, and applications,” John Wiley & Sons, 2007.
• [2] K. Pavai, A. Sivagami and D. Sridharan, "Study of Routing Protocols in Wireless Sensor Networks,” 2009 International Conference on Advances in Computing, Control and Telecommunication Technologies, Trivandrum, Kerala, 2009, pp. 522-525.
• [3] D. Goyal and M. R. Tripathy, "Routing Protocols in Wireless Sensor Networks: A Survey,"2012 Second International Conference on Advanced Computing & Communication Technologies, Rohtak, Haryana, 2012, pp. 474-480.
• [4] Nasir Saeed, Ahmed Bader, T.Y. Al-Naffouri, Mohamed-slim Alouini, “When Wireless Communication Faces COVID-19: Combating the Pandemic and Saving the Economy,” Research Gate Journal, May 2020.
• [5] Jitendra Singh, Rakesh Kumar, “Clustering algorithms for wireless sensor networks: A review,” 2nd International Conference on Computing for Sustainable Global Development, May 2015.
• [6] S. Misra and R. Kumar, "A literature survey on various clustering approaches in wireless sensor network," IEEE 2nd International Conference on Communication Control and Intelligent Systems (CCIS), Mathura, 2016, pp. 18-22.
• [7] S. Mishra, R. Bano, S. Kumar and V. Dixit, "A literature survey on routing protocol in wireless sensor network," IEEE International Conference on Innovations in Information, Embedded and Communication Systems (ICIIECS), Coimbatore, 2017, pp. 1-4.
• [8] Kalyani Wankhede, Sumedha Sirsikar, “Review of Clustering Algorithms in Wireless Sensor Networks,” International Journal of Advance Foundation and Research in Computer (IJAFRC), Volume 1, Issue 11, November 2014, pp. 126-133.
• [9] Sangho Yi, Junyoung Heo, Yookun Cho and Jiman Hong b, “PEACH: Power-efficient and adaptive clustering hierarch protocol for wireless sensor networks,” Computer Communications, ELSEVIER, 23 June 2007, pp. 2842–2852.
• [10] K. T. Kim and H. Y. Youn, “Energy-Driven Adaptive Clustering Hierarchy (EDACH) for Wireless Sensor Networks,” International Federation of Info. Processing, vol. 3823, Dec. 2005, pp. 1098–1107.
• [11] V. Loscri, G. Morabito and S. Marano, “A Two-Level Hierarchy for Low-Energy Adaptive Clustering Hierarchy (TL-LEACH),” IEEE Proceedings of Vehicular Technology Conference, vol. 3, 2005, pp. 1809-1813.
• [12] S. Nasr, M. Quwaider, “LEACH Protocol Enhancement for Increasing WSN Lifetime,” 2020 11th International Conference on Information and Communication Systems (ICICS), April 2020, pp. 102-107.
• [13] M. Kaddi, Z. Khalili, M. Bruchra, “A Differential Evolution Based Clustering and Routing Protocol for WSN,” 2020 International Conference on Mathematics and Information Technology, March 2020, pp. 190-195.
• [14] G. Malshetty, B. Mathapati, “Efficient Clustering in WSN-Cloud using LBSO (Load Based Self Organised) technique,” Third International Conference on Trends in Electronics and Informatics(ICOEI), October 2019, pp. 1243-1247.
• [15] K. Dubey, A. Yadav, P. Kumar, P. Shekar, P. Rajput, S. Kumar, “Power Optimization Algorithm for Heterogeneous WSN using Multiple Attributes,” Proceedings of Third International Conference on Computing Methodologies and Communication (ICCMC), August 2019, pp. 294-299.
• [16] O. Younis, S. Fahmy, “HEED: A Hybrid Energy-Efficient Distributed Clustering Approach for Ad Hoc Sensor Networks,” IEEE Transactions on mobile computing, vol. 3(4), 2004, pp. 1-36
• [17] A. Manjeshwar, D. P. Agrawal, “TEEN: A Routing Protocol for Enhanced Efficiency in Wireless Sensor Networks,” 15th International Workshop on Parallel and Distributed Processing Symposium (IPDPS), 23–27 April 2001, pp. 2009–2015.
• [18] A. Manjeshwar, D. P. Agrawal, “APTEEN: A Hybrid Protocol for Efficient Routing and Comprehensive Information Retrieval in Wireless Sensor Networks,” 2nd International Workshop on Parallel and Distributed Computing Issues in Wireless Networks and Mobile Computing,” April 2002, pp. 195–202.
• [19] Chirihane Gherbi, Zibouda Aliouat, Mohamed Benmohammed, “A Novel Load Balancing Scheduling Algorithm For Wireless Sensor Networks,” Journal of Network And Systems Management (2019) 27, pp. 430–462.
• [20] Heinzelman W., Chandrakasan A. and Balakrishnan H., "Energy-Efficient Communication Protocols for Wireless Microsensor Networks," Proceedings of the 33rd Hawaaian International Conference on Systems Science (HICSS), January 2000.
• [21] Jiuqiang Xu, Wei Liu, Fenggao Lang, Yuanyuan Zhang, Chenglong Wang, “Distance Measurement Model Based on RSSI in WSN,” Scientific Research Journal on Wireless Sensor Network, August 2010, pp. 606-611
• [22] Nazir Babar, Hasbullah Halabi & Madani Sajjad, “Sleep/wake scheduling scheme for minimizing end-to-end delay in multi-hop wireless sensor networks,” EURASIP Journal on Wireless Communications and Networking, 2011. 92. 10.1186/1687-1499-2011-92.