Designing dynamic adjustment approach of event reliability in wireless sensor network

Vishnoi, Navneet; Dwivedi, Rakesh Kumar

doi:10.47974/JDMSC-1850

Open Access Research Article

Designing dynamic adjustment approach of event reliability in wireless sensor network

^*Navneet VishnoiCorresponding authornavneetv.computers@tmu.ac.inCollege of Computing Sciences and Information TechnologyTeerthanker Mahaveer UniversityMoradabad, Uttar Pradesh, IndiaView full profile → , Rakesh Kumar Dwivediprincipal.computers@tmu.ac.inCollege of Computing Sciences and Information TechnologyTeerthanker Mahaveer UniversityMoradabad, Uttar Pradesh, IndiaView full profile →

* Corresponding author · click or hover a name for details

pp. 2045–2060Vol. 26Issue 7October 2023DOI: 10.47974/JDMSC-1850 Crossmark XML

Received:: 10 Sep 2023
Published Online:: 15 Dec 2023
Article type:: Research Article
Language:: EN
Article no.:: JDMSC-1850
Pages:: 2045–2060

Abstract

Many industries, such as environmental monitoring, industrial automation, healthcare, agriculture, and more, use wireless sensor networks. A critical requirement for wireless sensor networks (WSNs) is reliable transmission from source to destination. The main challenges for reliable data transmission are network connectivity, coverage optimization, data aggregation, shortest path, congestion, bandwidth, and quality of service. In a static environment, all sensor units transmit maximum data to the sink, dramatically raising their energy utilization and resulting in their early death. A dynamic environment can be utilized to collect data to reduce the amount of energy required to transport lengthy data packets over a wide area while still maintaining sensor node energy usage. The dynamic environment and duplicate packet simulation reflect real-world challenges like changing node positions and the potential for data duplication due to wireless communication issues. This paper introduces a dynamic event reliability protocol (DERP) in which the new positions of the sensor nodes are generated randomly in each event and a mobile sink collects data from every sensor node. The proposed technique consists of four parts, including a network model, a radio and energy model, a proposed approach, and a performance analysis. Our results show that DERP significantly improves energy consumption and unique packet delivery while reducing packet loss and the number of duplicate packets against LEACH and the average k-means clustering approach.

Keywords

Wireless sensor network Event reliability Mobile sink Dynamic environment Energy consumption

Subject Classifications

68M15

References

[1] Deyu Lin, Quan Wang, Jizhao Liu, “An Energy Efficient Sink Deployment Scheme Aiming at Extending the Lifespan for Wireless Sensor Networks”, International Journal of Future Generation Communication and Networking, vol. 9(8), pp. 2016.
[2] A.A.A. Ari, A. Gueroui, N. Labraoui, B.O. Yenke, “Concepts and Evolution of Research in the Field of Wireless Sensor Networks”, International Journal Computer Network Communication, 7, 81–98 (2015).
[3] Fengyong Li, Gang Zhou, Jingsheng Lei, “Reliable Data Transmission on Wireless Sensor Networks With Data Decomposition and Ensemble Recovery”, Mathematical Biosciences and Engineering, vol. 16(5), 4526-4545 (2019).
[4] Ahmed Ibrahim Hassan, Maha Elsabrouty, Salwa El-Ramly “Energy- efficient Reliable Packet Delivery in Variable-Power Wireless Sensor Networks”, Ain Shams University, Ain Shams Engineering Journal, 2, 87–98 (2011).
[5] S. A. Kumar, P. Ilango, “The Impact of Wireless Sensor Network in the Field of Precision Agriculture: A Review” Springer Science+Business Media, Wireless Pers. Commun., DOI 10.1007/s11277-017-4890-z, LLC 2017.
[6] F. Ullah, M. Z. Khan, G. Mehmood, M. S. Qureshi, M. Fayaz, “Energy Efficiency and Reliability Considerations in Wireless Body Area Networks: A Survey”, Hindawi, Computational and Mathematical Methods in Medicine, Volume 2022, Article ID 1090131, 15 pages, https://doi.org/10.1155/2022/1090131.
[7] A. P. Singh, Ashish Kr Luhach, Xiao-Zhi Gao, Sandeep Kumar, Diptendu Sinha Roy, “Evolution of Wireless Sensor Network Design From Technology Centric to User Centric: An Architectural Perspective”, International Journal of Distributed Sensor Networks 2020, vol. 16(8)
[8] Chun Zhang, Shumin Fei, “A Data Collection Algorithm with Mobile Elements in Wireless Sensor Networks”, The 33rd Youth Academic Annual Conference of Chinese Association of Automation (YAC) Nanjing, China (2018).
[9] Daniela Aguirre-Guerrero, Ricardo Marcelín-Jiménez, Enrique Rodriguez- Colina, Michael Pascoe-Chalke, “Congestion Control for a Fair Packet Delivery in WSN: From a Complex System Perspective”, Hindawi Publishing Corporation, The Scientific World Journal, vol. 2014, Article ID 381305.
[10] Silva, I.; Guedes, L.A.; Portugal, P.; Vasques, F. Reliability and Availability Evaluation of Wireless Sensor Networks for Industrial Applications. Sensors 2012, 12, 806-838. https://doi.org/10.3390/s120100806.
[11] K. M. Alam, J. Kamruzzaman, G. Karmakar, M. Murshed, “Dynamic adjustment of sensing range for event coverage in wireless sensor networks”, Journal of Network and Computer Applications, Volume 46, Issue C, pp 139–153 (November 2014). https://doi.org/10.1016/j.jnca.2014.07.025.
[12] Zhu X, Lu Y, Han J, Shi L. Transmission Reliability Evaluation for Wireless Sensor Networks. International Journal of Distributed Sensor Networks; 12(2) (2016). doi:10.1155/2016/1346079.
[13] Wu, H., Cao, J. & Fan, X. Dynamic collaborative in-network event detection in wireless sensor networks. Telecommun Syst 62, 43–58 (2016). https://doi.org/10.1007/s11235-015-9981-0.
[14] Deif, D., Gadallah, “Y. A comprehensive wireless sensor network reliability metric for critical Internet of Things applications”,. J Wireless Com Network 2017, 145 (2017). https://doi.org/10.1186/s13638-017-0930-3.
[15] W. Dargie, “A Quantitative Measure of Reliability for Wireless Sensor Networks”, in IEEE Sensors Letters, vol. 3, no. 8, pp. 1-4, Art no. 7500904 (Aug. 2019), doi: 10.1109/LSENS.2019.2931888.
[16] Lewandowski, M.; Płaczek, B., “Data Transmission Reduction in Wireless Sensor Network for Spatial Event Detection”. Sensors 2021, 21, 7256. https://doi.org/10.3390/s21217256.
[17] Catelani M, Ciani L, Bartolini A, Del Rio C, Guidi G, Patrizi G., “Reliability Analysis of Wireless Sensor Network for Smart Farming Applications. Sensors (Basel)”, 21(22): 7683 (2021 Nov 18). doi: 10.3390/s21227683. PMID: 34833759; PMCID: PMC8619464.
[18] C. Cirstea, M. O. Cernaianu, A. Gontean, “Packet Loss Analysis in Wireless Sensor Networks Routing Protocols”, 35th International Conference on Telecommunications and Signal Processing (TSP), July 2012, DOI:10.1109/TSP.2012.6256248.
[19] H. Li, X. He and S. Ding, “Routing Algorithm for Reducing Packet Loss in Mobile WSN”, 2019 International Conference on Computer Network, Electronic and Automation (ICCNEA), Xi’an, China, 2019, pp. 258-263, doi: 10.1109/ICCNEA.2019.00057.
[20] N. Mishra, P. Latha, K. S. Rekha and M. B, “Packet Drop Reduction by Volunteer nodes in Mobile Wireless Sensor Networks,” 2023 2nd International Conference on Edge Computing and Applications (ICECAA), Namakkal, India, pp. 155-159 (2023), doi: 10.1109/ICECAA58104.2023.10212281.
[21] Ghani, R.F.; Al-Jobouri, L., “Packet Loss Optimization in Router Forwarding Tasks Based on the Particle Swarm Algorithm”, Electronics 2023, 12, 462. https://doi.org/10.3390/electronics12020462.
[22] V. Seedha Dev, Ravi, S. Baghavathi Priya”, Cluster Based Data Aggregation Scheme for Latency and Packet Loss Reduction in WSN”, Computer Communications,Volume 149, Pages 36-43 (2020). ISSN 0140-3664, https://doi.org/10.1016/j.comcom.2019.10.003.
[23] Aiguo Chen, Xuemei Li, Xueting Ni, Guangchun Luo, “RTGOR: Reliability and Timeliness Guaranteed Opportunistic Routing in Wireless Sensor Networks”, EURASIP, Journal on Wireless Communications and Networking (2018).
[24] Abhishek Kumar, Ashutosh Kumar Dubey, T. Ananth kumar, Sachin Ahuja, Vishal Dutt, “Efficient Privacy Preserving Lightweight Cryptography for Multi-hop Clustering in Internet of Vehicles Network”, Research Square Platform LLC (2023).
[25] N. Vishnoi and R. K. Dwivedi, “Comprehensive Survey on the Reliability of Wireless Sensor Networks,” 2022 11th International Conference on System Modeling & Advancement in Research Trends (SMART), Moradabad, India, pp. 496-502 (2022), doi: 10.1109/SMART55829.2022.10047428.
[26] D. Singh, A. Sikri, S. Jebaraj, and N. Vishnoi, “An Automated Healthcare Monitoring Architecture Employing Wearable Sensors and Social-Media Data”, Int J Intell Syst Appl Eng, vol. 11, no. 8s, pp. 62–70 (Jul. 2023).
[27] Sahana, S., & Singh, K., Fuzzy based energy efficient underwater routing protocol. Journal of Discrete Mathematical Sciences and Cryptography, 22(8), 1501-1515 (2019).
[28] Varun, R. K., & Gangwar, R. C., Geometrical link aware geocast routing for energy balancing in wireless sensor networks. Journal of Discrete Mathematical Sciences and Cryptography, 24(5), 1375-1391 (2021).
[29] Kumar, K. A., Krishna, A. V., & Chatrapati, K. S., New secure routing protocol with elliptic curve cryptography for military heterogeneous wireless sensor networks. Journal of Information and Optimization Sciences, 38(2), 341-365 (2017).
[30] Sinwar, D., Sharma, N., Maakar, S. K., & Kumar, S., Analysis and comparison of ant colony optimization algorithm with DSDV, AODV, and AOMDV based on shortest path in MANET. Journal of Information and Optimization Sciences, 41(2), 621-632 (2020).
[31] Kumar, A., Singh, K., & Khan, T., L-RTAM: Logarithm based reliable trust assessment model for WBSNs. Journal of Discrete Mathematical Sciences and Cryptography, 24(6), 1701- 1716 (2021).
[32] Khan, T., & Singh, K., Resource management based secure trust model for WSN. Journal of Discrete Mathematical Sciences and Cryptography, 22(8), 1453-1462 (2019).
[33] Shariq, M., Singh, K., Lal, C., Conti, M., & Khan, T., ESRAS: An efficient and secure ultra-lightweight RFID authentication scheme for low-cost tags. Computer Networks, 217, 109360 (2022).
[34] Kumar, A., Singh, K., Khan, T., Ahmadian, A., Saad, M. H. M., & Manjul, M., ETAS: An efficient trust assessment scheme for BANs. IEEE Access, 9, 83214-83233 (2021).
[35] Khan, T., Singh, K., & Purohit, K. C., ICMA: An efficient integrated congestion control approach. Recent Patents on Engineering, 14(3), 294-309 (2020).
[36] Khan, T., Singh, K., Shariq, M., Ahmad, K., Savita, K. S., Ahmadian, A., ... & Conti, M., An efficient trust-based decision-making approach for WSNs: Machine learning oriented approach. Computer Communications, 209, 217-229 (2023).
[37] Khan, Tayyab, and Karan Singh. “RTM: Realistic Weight-Based Reliable Trust Model for Large Scale WSNs.” Wireless Personal Communications 129, no. 2 : 953-991 (2023).
[38] Vani S. Badiger, T.S. Ganashree. “Data aggregation scheme for IOT based wireless sensor network through optimal clustering method”, Measurement: Sensors (2022).

Views: 251Downloads: 86Citations: 1