Abstract
The fast growth of information and communication technologies (ICTs) has had a big impact and changed a lot of businesses. Wireless sensor networks (WSN) are used in many industries for mobility, scalability, reliability, smart monitoring, and management. Utilization of modern equipment in the agriculture industry is essentially required to boost people’s income and create a positive impact on their social lives. WSNs comprise various self-designed devices that gather extensive data from the environment. Numerous techniques have been developed recently to enhance WSN productivity in various industries. WSN has become one of the emerging innovations. In wireless sensor networks, the biggest problems are data loss, node failure, and the need to use more energy to make the sensor nodes last longer. To overcome these limitations, in this research, a novel Tri-Head Fuzzy C Multipath Routing (THFCMR) protocol is proposed for WSNs. The proposed THFCMR approach is designed by a tri-head static fuzzy C means clustering with hybrid energy-efficient distributed clustering (HEED) integrated with a hybrid energy-efficient multipath routing protocol (HEEMP) approach. This paper focused on reviewing the cluster base protocol’s usability and weaknesses, along with a proposal for a solution to enhance network consistency and data availability in WSNs.
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Tabassum, M., Sharma, T., Mohanan, S., Lawal, I.A. (2023). A Comparative Analysis of Data Backup and Network Consistency in Cluster-Base Wireless Sensor Network Protocols. In: Kadry, S., Prasath, R. (eds) Mining Intelligence and Knowledge Exploration. MIKE 2023. Lecture Notes in Computer Science(), vol 13924. Springer, Cham. https://doi.org/10.1007/978-3-031-44084-7_18
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