Abstract
Wireless sensor networks (WSNs) based on the Internet of Things (IoT) are now one of the most prominent wireless sensor communication technologies. WSNs are often developed for particular applications such as monitoring or tracking in either indoor or outdoor environments, where battery power is a critical consideration. To overcome this issue, several routing approaches have been presented in recent years. Nonetheless, the extension of the network lifetime in light of the sensor capabilities remains an open subject. In this research, a CUCKOO-ANN based optimization technique is applied to obtain a more efficient and dependable energy efficient solution in IoT-WSN. The proposed method uses time constraints to minimize the distance between sources and sink with the objective of a low-cost path. Using the property of CUCKOO method for solving nonlinear problem and utilizing the ANN parallel handling capability, this method is formulated. The resented model holds significant promise since it reduces average execution time, has a high potential for enhancing data centre energy efficiency, and can effectively meet customer service level agreements. By considering the mobility of the nodes, the technique outperformed with an efficiency of 98% compared with other methods. The MATLAB software is used to simulate the proposed model.
Highlights
Sensor nodes serve as the main backbone in wireless sensor networks (WSNs), which are among the most common wireless communication networks [1, 2]
Internet of Things (IoT)-Wireless sensor networks (WSNs) are commonly installed in dense clusters in certain fields to monitor required parameter values
Energy efficiency is a critical parameter for every sensor network, and any effective management must emphasize it
Summary
Sensor nodes serve as the main backbone in wireless sensor networks (WSNs), which are among the most common wireless communication networks [1, 2]. Most WSNs are tailored to a specific use case, and their sensor nodes typically offer fundamental functions including sensing, processing, computation, and communication [5]. The small and active sensor nodes are the basic structure of WSNs that monitor their surroundings, analyses data (in few cases), and send/receive refine/processed data to/from other neighboring sensor nodes. These sensing nodes are spread across the defined area connecting base node with sink node [11]. The sink collects sensor data for end-user use. The sink can send network pol to sensor nodes to activate them [12, 13].
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