IJCNIS Vol. 14, No. 5, 8 Oct. 2022
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LEACH Protocol, Secure Communication, Cluster Head, Consumed Energy Ratio, Hybrid Reputation-Based Data Transmission, Energy Dissipation
Due to the applications of wireless sensor networks (WSNs) in distinct fields, like civilian and military, environmental monitoring, and target tracking, etc., it became the important research area for researchers. Therefore, an efficient organization of network topology is needed for multi-hop data aggregation based on the energy constrained WSNs with large scale deployment for making the routing task simpler, balancing the load efficiently, and enhancing the network lifetime. The low-energy adaptive clustering hierarchy (LEACH) is an architecture of application-specific protocol, which is used for WSNs. However, this LEACH protocol suffered from more energy consumption in network without considering the cluster heads (CHs) distribution on a rotation basis. In addition, the complex security mechanisms are not sufficient due to limited bandwidth and other restrictions that the sensor nodes have. Thus, it is essential to improve the energy efficiency, CH stability and secure data transmission in WSN’s, which is the main objective of this work. Motivated from these three challenges, this article proposes a stable and secure LEACH (SS-LEACH), in which a new and improved protocol of LEACH is proposed for enhancing the stability of CH and energy efficiency as it considers the nodes’ consumed energy ratio (CER) for CH selection and random number generation, here after the proposed LEACH is named as CER-LEACH. In addition, it aims to prevent the previously elected CH node and it will get another chance in the current round. This method correlates the threshold used in traditional LEACH with the energy consumption ratio of each node. Further, it also introduces a hybrid reputation-based data transmission (HRDT) scheme for secure data transmission. With the proposed CER-LEACH protocol, WSNs achieves better performance in terms of secured communication, network lifetime, and energy consumption based on the analysis of simulation results as compared to state-of-art approaches.
Ravi Kumar Sanapala, Srineevasa Rao Duggirala, "A Secure LEACH Protocol for Efficient CH Selection and Secure Data Communication in WSNs", International Journal of Computer Network and Information Security(IJCNIS), Vol.14, No.5, pp.82-93, 2022. DOI:10.5815/ijcnis.2022.05.07
[1]Ramesh, M.V., Prabha, R., Thirugnanam, H., Devidas, A.R., Raj, D., Anand, S. and Pathinarupothi, R.K., ‘Achieving sustainability through smart city applications: protocols, systems and solutions using IoT and wireless sensor network’, In CSI Transactions on ICT, Vol. 8, No. 2, 2020, pp 213-230.
[2]Abdulsahib, G.M. and Khalaf, O.I., ‘Accurate and effective data collection with minimum energy path selection in wireless sensor networks using mobile sinks’, In Journal of Information Technology Management, Vol. 13, No. 2, 2021, pp139-153.
[3]Boubiche, D.E., Athmani, S., Boubiche, S. and Toral-Cruz, H., ‘Cybersecurity issues in wireless sensor networks: current challenges and solutions’, Wireless Personal Communications, Vol. 117, No. 1, 2021, pp 177-213.
[4]Al-Kiyumi, R.M., Foh, C.H., Vural, S., Chatzimisios, P. and Tafazolli, R., ‘Fuzzy logic-based routing algorithm for lifetime enhancement in heterogeneous wireless sensor networks,’ In IEEE Transactions on Green Communications and Networking, Vol. 2, No. 2, 2018, pp 517-532.
[5]Prashant Maurya, Amanpreet Kaur, "A Survey on Descendants of LEACH Protocol", International Journal of Information Engineering and Electronic Business, Vol.8, No.2, pp.46-58, 2016.
[6]Adimoolam, M., John, A., Balamurugan, N.M. and Ananth Kumar, T., ‘Green ICT communication, networking and data processing’, In Green Computing in Smart Cities: Simulation and Techniques, Springer, Cham, 2021, pp 95-124.
[7]Luo, Y. and Pu, L., ‘Practical issues of RF energy harvest and data transmission in renewable radio energy powered IoT’, In IEEE Transactions on Sustainable Computing, Vol. 6, No. 4, 2020, pp 667-678.
[8]Xu, C., Xiong, Z., Zhao, G. and Yu, S., ‘An energy-efficient region source routing protocol for lifetime maximization in WSN’, In IEEE Access, Vol. 7, 2019, pp 135277-135289.
[9]Al-Shalabi, M., Anbar, M., Wan, T.C. and Khasawneh, A., ‘Variants of the low-energy adaptive clustering hierarchy protocol: Survey, issues, and challenges’, In Electronics, Vol. 7, No. 8, 2018, p 136.
[10]Moussa, N. and El Belrhiti El Alaoui, A., ‘An energy-efficient cluster-based routing protocol using unequal clustering and improved ACO techniques for WSNs’, In Peer-to-Peer Networking and Applications, Vol. 14, No. 3, 2021, pp 1334-1347.
[11]Devi, V.S., Ravi, T., and Priya, S.B., ‘Cluster based data aggregation scheme for latency and packet loss reduction in WSN’, In Computer Communications, Vol. 149, 2020, pp 36-43.
[12]Bhushan, B. and Sahoo, G., ‘ISFC-BLS (intelligent and secured fuzzy clustering algorithm using balanced load sub-cluster formation) in WSN environment’, In Wireless Personal Communications, Vol. 111, No. 3, 2020, pp 1667-1694.
[13]Chit, T.A. and Zar, K.T., ‘September. Lifetime improvement of wireless sensor network using residual energy and distance parameters on LEACH protocol’, In 2018 18th International Symposium on Communications and Information Technologies (ISCIT), IEEE, 2018, pp 1-5.
[14]Song, H., Sui, S., Han, Q., Zhang, H. and Yang, Z., ‘Autoregressive integrated moving average model–based secure data aggregation for wireless sensor networks’, In International Journal of Distributed Sensor Networks, Vol. 16, No. 3, 2020, p 1550147720912958.
[15]Fang, W., Zhang, W., Chen, W., Liu, Y. and Tang, C., ‘TMSRS: trust management-based secure routing scheme in industrial wireless sensor network with fog computing,’ In Wireless Networks, Vol. 26, No. 5, 2020, pp 3169-3182.
[16]Elhoseny, M. and Hassanien, A.E., ‘Secure data transmission in WSN: an overview’, In Dynamic wireless sensor networks, 2019, pp 115-143.
[17]Mazumdar, N., and Om, H., ‘Distributed fuzzy approach to unequal clustering and routing algorithm for wireless sensor networks’, In International Journal of Communication Systems, Vol. 31, No. 2, 2018, e3709.
[18]Purkar, S.V. and Deshpande, R.S., ‘Energy efficient clustering protocol to enhance performance of heterogeneous wireless sensor network: EECPEP-HWSN’, In Journal of Computer Networks and Communications, Vol. 2018, Article ID 2078627, 2018, 12 pages.
[19]Bozorgi, S.M. and Bidgoli, A.M., ‘HEEC: A hybrid unequal energy efficient clustering for wireless sensor networks’, In Wireless Networks, Vol. 25, No. 8, 2019, pp 4751-4772.
[20]Bharany, S., Sharma, S., Badotra, S., Khalaf, O.I., Alotaibi, Y., Alghamdi, S. and Alassery, F., ‘Energy-efficient clustering scheme for flying ad-hoc networks using an optimized LEACH protocol’, Energies, Vol. 14, No. 19, 2021, p 6016.
[21]Firdous, S., Bibi, N. and Wahid, M., ‘An Energy-Efficient Cluster Based Routing Algorithm for Wireless Sensor Network. In 2021 International Conference on Frontiers of Information Technology (FIT), IEEE, 2021, pp 182-187.
[22]Khediri, S.E., Nasri, N., Khan, R.U. and Kachouri, A., ‘An improved energy efficient clustering protocol for increasing the lifetime of wireless sensor networks’, In Wireless Personal Communications, Vol. 116, No. 1, 2021, pp 539-558.
[23]Dwivedi, A.K. and Sharma, A.K., ‘EE-LEACH: Energy Enhancement in LEACH using Fuzzy Logic for Homogeneous WSN’, In Wireless Personal Communications, Vol. 120, No. 4, 2021, pp 3035-3055.
[24]Snapala, R. K., and Duggirala, S. R., ‘SRN-LEACH: an energy efficient leach protocol with random number stabilisation for WSNs’, In Journal of Control and Decision, 2022. doi: https://doi.org/10.1080/23307706.2022.2062622