Abstract
In WSNs, the accuracy and the reduction of the energy taken by the redundant data are the more challenging parameter. To resolve the above problem, sleeping node scheduling methodology (SNSM) with some of the same measures are proposed, it reduces the energy consumption, sensors are scheduled into the active mode or sleep mode, Clustering formation is used to balance the load for energy consumption, using fuzzy similarity theory sensor nodes divide into categories, based on data integrity and a redundant node will go to a sleep state in the next round. The simulation results confirm the improvements in accuracy performance and energy consumption of the networks.
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Sakthi Shunmuga Sundaram, P., Vijayan, K. (2022). Sleeping Node Scheduling Method Based Redundant Node Energy Reduction in Wireless Sensor Networks. In: Iyer, B., Crick, T., Peng, SL. (eds) Applied Computational Technologies. ICCET 2022. Smart Innovation, Systems and Technologies, vol 303. Springer, Singapore. https://doi.org/10.1007/978-981-19-2719-5_57
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