Abstract
The network is composed of wireless distributed sensor nodes with data computational capabilities. In each cluster, the cluster member nodes are used to send the sensed data to their respective cluster head to aggregate and classify the data effectively. In this work, the algorithm for cluster-based aggregation of data using the Naive Bayesian Classifier is proposed. The proposed scheme provides better performance rather than existing algorithms with accuracy, efficient energy utilization, and computation overhead.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Sharma S, Bansal RK, Bansal S (2013) Issues and challenges in wireless sensor networks. In: International conference on Machine Intelligence and Research Advancement, pp 58–62
Suo H, Wan J, Huang L, Zou C (2012) Issues and challenges of wireless sensor networks localization in emerging applications. In: International conference on computer science and electronics engineering, vol 3:447–451
Ihsan A, Rahim K, Mehdi H, Mustaq, A (2013) Energy aware routing and data aggregation in wireless sensor Networks. In: 2nd International Conference on Machine Learning and Computer Science, pp 27–30
Bhaskar K, Deborah E, Stephen W (2002) The Impact of Data Aggregation in Wireless Sensor Networks. In: International conference on Distributed Computing Systems, pp 575–578
Yuea, J., Zhang, W., **ao, W., Tang, D., Tang, J.: Energy Efficient and Balanced Cluster-Based Data Aggregation Algorithm for Wireless Sensor Networks. In: 2012 International Workshop on Information and Electronics Engineering, vol.29, pp. 2009–2015, (2012)
Ranjani, S. S., Radhakrishnan, S., Thangaraj, C.: Energy-efficient Cluster Based Data Aggregation for Wireless Sensor Networks. In: 2012 International Conference on Recent Advances in Computing and Software Systems, pp. 174–179, (2012)
Ranjani, S. S., Radhakrishnan, S., Thangaraj, C.: Secure Cluster Based Data Aggregation in Wireless Sensor Networks. In: IEEE International Conference on Science Engineering and Management Research, pp. 11–6, (2014)
Jan B, Farman H, Javed H, Montrucchio B, Khan M, Ali S (2017) Energy Efficient Hierarchical Clustering Approaches in Wireless Sensor Networks: A Survey. Journal on Wireless Communications and Mobile Computing 2017(6457942):1–14
Jothi S, Chandrasekaran M (2016) Cluster Based Compressed Data Aggregation and Routing in WSN. International Journal of Intelligent Engineering and Systems 9(4):69–78
Sinha A, Lobiyal DK (2013) Performance Evaluation of Data Aggregation for Cluster-Based Wireless Sensor Networks. Journal on Human-centric Computing and Information Sciences 3(13):1–17
Abasi, A., Sajedi, H.: Data Aggregation in Wireless Sensor Network Based On Dynamic Fuzzy Clustering. In: Fourth International Conference on Soft Computing, Artificial Intelligence and Applications pp. 125–138, (2015)
Mezrag, F., Bitam, S., Mellouk, A.: Secure Routing in Cluster-Based Wireless Sensor Networks, In: IEEE International Conference on Global Telecommunications, pp. 1–6, (2017)
Randhawa S, Jain S (2017) Data Aggregation in Wireless Sensor Networks: Previous Research, Current Status and Future Directions. Journal on Wireless Personal Communications 97(3):3355–3425
Fanian F, Rafsanjani MK (2019) Cluster-Based Routing Protocols in Wireless Sensor Networks: A survey. Journal of Network and Computer Applications 142:111–142
Dhand, G., Tyag, S. S.: Data Aggregation Techniques in WSN: Survey. In: 2nd International Conference on Intelligent Computing, Communication & Convergence, vol. 92, pp. 378–384, (2016)
Razaque A, Rizvi SS (2017) Secure Data Aggregation using Access Control and Authentication for Wireless Sensor Networks. Journal on Computers and Security 70:532–545
Nalini, S., Valarmathi, A.: Fuzzy Association Rule Based Cluster Head Selection in Wireless Sensor Networks. In: 2nd International Conference on Green High Performance Computing”, pp. 1–5, (2016)
Harb H, Makhoul A, Tawbi S, Couturier R (2017) Comparison of Different Data Aggregation Techniques in Distributed Sensor Networks. Journal of IEEE Access 5:4250–4263
Haseeb K, Bakar KA, Abdullah AH, Darwish T (2017) Adaptive Energy Aware Cluster Based Routing Protocol for Wireless Sensor Networks. Journal on Wireless Networks 23(6):1953–1966
Khorasani F, Naji HR (2017) Energy Efficient Data Aggregation in Wireless Sensor Networks Using Neural Networks”. International Journal of Sensor Networks 24(2):26–42
Mohammad M, Subhash C, Rami A (2010) Bayesian fusion algorithm for inferring trust in wireless sensor networks. J Netw 5(7):815–822
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Bhajantri, L.B., Kumbar, B.G. (2021). Cluster-Based Data Aggregation in Wireless Sensor Networks: A Bayesian Classifier Approach. In: Suma, V., Bouhmala, N., Wang, H. (eds) Evolutionary Computing and Mobile Sustainable Networks. Lecture Notes on Data Engineering and Communications Technologies, vol 53. Springer, Singapore. https://doi.org/10.1007/978-981-15-5258-8_89
Download citation
DOI: https://doi.org/10.1007/978-981-15-5258-8_89
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-15-5257-1
Online ISBN: 978-981-15-5258-8
eBook Packages: EngineeringEngineering (R0)