Abstract
Most of the wireless sensor networks (WSNs) are having intrinsic resource limitations such as energy, link, and computational resources since energy is consumed by all the resources. Thus, there is a dare need to develop energy-efficient protocols that escalate the longevity of the network for collecting data over a long time. In this work, we propose a data aggregation-based effective and optimized CHs election routing protocol for heterogeneous WSNs. These networks consist of three levels of heterogeneity. In this method, a threshold-based formula is used which helps in optimized cluster heads (CHs) election. A new chain-based data aggregation process is also discussed in this paper which helps in the effective data gathering process. This threshold formula considered three criteria namely node and sink distance, node remaining energy, and total networks energy which decreases the energy depletion in both inter and intra communication between the sensor, CHs, and sink. This efficient data gathering process also removes the duplicate at the time of data collection from the deployed nodes and reduced the energy depletion and network overheads. The number of alive and dead, the sum of energy depletion, and a number of the message transferred to the control node matrices are considered to investigate the enactment of the proposed scheme by using the MATLAB. After a comprehensive analysis, it has been evident that the proposed method accomplishes healthier than that of the existing methods.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Singh, S., Chand, S., Kumar, B.: Performance investigation of heterogeneous algorithms in WSNs. In: 3rd IEEE International Advance Computing Conference (IACC), pp. 1051–1054 (2013)
Singh, Y., Singh, S., Kumar, R.: A distributed energy-efficient target tracking protocol for three level heterogeneous sensor networks. Int. J. Comput. Appl. 51, 31–36 (2012)
Heinzelman, W.R., Chandrakasan, A.P., Balakrishnan, H.: An application-specific protocol architecture for wireless microsensor networks. IEEE Trans. Wirel. Commun. 1, 660–670 (2002)
Lindsey, S., Raghavendra, C.S., Sivalingam, K.M.: Data gathering algorithms in sensor networks using energy metrics. IEEE Trans. Parallel Distrib. Syst. 13, 924–935 (2002)
Singh, S., Malik, A.: hetSEP: heterogeneous SEP protocol for increasing lifetime in WSNs. J. Inf. Optim. Sci. 38, 721–743 (2017)
Qing, L., Zhu, Q., Wang, M.: Design of a distributed energy-efficient clustering algorithm for heterogeneous wireless sensor networks. Comput. Comms. 29, 2230–2237 (2016)
Singh, S., Malik, A., Kumar, R.: Energy efficient heterogeneous DEEC protocol for enhancing lifetime in WSNs. Eng. Sci. Technol., Int. J. 20, 345–353 (2017)
Maheswari, D.U., Sudha, S.: Node degree based energy efficient two-level clustering for wireless sensor networks. Wirel. Pers. Commun. 104, 1209–1225 (2018)
Chand, S., Singh, S., Kumar, B.: Heterogeneous HEED protocol for wireless sensor networks. Wirel. Pers. Commun. 77, 2117–2139 (2014)
Singh, S., Chand, S., Kumar, B.: Energy efficient clustering protocol using fuzzy logic for heterogeneous WSNs. Wirel. Pers. Commun. 86, 451–475 (2016)
Singh, S., Chand, S., Kumar, B.: Multilevel heterogeneous network model for wireless sensor networks. Telecommun. Syst. 64, 259–277 (2017)
Singh, S., Chand, S., Kumar, B.: An energy efficient clustering protocol with fuzzy logic for WSNs. In: 5th International Conference-Confluence the Next Generation Information Technology Summit, pp. 427–431 (2014)
Faisal, S., Javaid, N., Javaid, A., Khan, M.A., Bouk, S.H., Khan, Z.A.: Z-SEP: zonal-stable election protocol for wireless sensor networks. J. Basic Appl. Sci. Res. 3(5), 132–139 (2013)
Khan, F.A., Khan, M., Asif, M., Khalid, A., Haq, I.U.: Hybrid and multi-hop advanced zonal-stable election protocol for wireless sensor networks. IEEE Access 7, 25334–25346 (2019)
Smaragdakis, G., Matta, I., Bestavros, A.: SEP: A Stable Election Protocol for Clustered Heterogeneous Wireless Sensor Networks. Technical Report BUCS-TR-2004-022, Boston University Computer Science Department. pp. 1–11 (2004)
Tang, F., You, I., Guo, S., Guo. M., Ma., Y.: A chain-cluster based routing algorithm for wireless sensor networks. J. Intell, Manuf. 23, 1305 (2012)
Wang, Z., Zhang, M., Gao, X., et al.: A clustering WSN routing protocol based on node energy and multipath. Cluster Comput. 22, 5811–5823 (2019)
Chen, K.H., Huang, J.M., Hsiao, C.C.: Chiron: An energy efficient chain-based hierarchical routing protocol in wireless sensor networks. In: Proceeding of IEEE Symposium on Wireless Telecommunications (WTS-2009), Prague, pp. 1–5 (2009)
Linping, W., Wu, B., Zhen, C., Zufeng, W.: Improved algorithm of PEGASIS protocol introducing double cluster heads in wireless sensor network. In: IEEE International Conference on Computer, Mechatronics, Control and Electronic Engineering, pp. 148–151 (2010)
Singh, P., Paprzycki, M., Bhargava B., Chhabra J., Kaushal N., Kumar Y. (Eds.): Futuristic trends in network and communication technologies. In: FTNCT 2018. Communications in Computer and Information Science, Vol. 958. Springer, Singapore (2018)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Malik, A., Singh, S., Singh, P.K. (2021). DACHE: A Data Aggregation-Based Effective and Optimized Cluster Head Election Routing Protocol for HWSNs. In: Singh, P.K., Singh, Y., Kolekar, M.H., Kar, A.K., Chhabra, J.K., Sen, A. (eds) Recent Innovations in Computing. ICRIC 2020. Lecture Notes in Electrical Engineering, vol 701. Springer, Singapore. https://doi.org/10.1007/978-981-15-8297-4_23
Download citation
DOI: https://doi.org/10.1007/978-981-15-8297-4_23
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-15-8296-7
Online ISBN: 978-981-15-8297-4
eBook Packages: Computer ScienceComputer Science (R0)