Energy-Aware Grid-Based Clustering with Fuzzy Assisted Sleep Scheduling Mechanism for Low Power and Lossy Networks
Keywords:
, energy consumption, 6LoWPAN, lossy network, routing protocol, energy-hole, scheduling, and fuzzy.Abstract
The Internet of Things (IoT) is a developing paradigm in which electronic devices are interconnected and connected with a variety of things that may gather and send data across a wireless sensor network (WSN) without the need for human interaction. Routing protocols based on the IoT are utilized to transmit data across short range. The routing procedure deployed to send data packets from the origin to the destination. The routing protocol's competency is achieved through lowering the path cost. The items and devices in the IoT that are powered by batteries and it necessitates. As a result, protocol routing plays an important role in conserving energy. In the clustering methodology, the sensor nodes are essentially organized into clusters. Within each cluster, a sensor node is designated as the Cluster Head (CH), responsible for managing and supervising the Cluster Members (CM) by adding or removing them and overseeing the cluster's operations. By employing a meticulously designed active-sleep regimen, the suggested method efficiently curtails the energy consumption of individual sensor nodes, concurrently fine-tuning data transmission via machine learning executed by cluster member nodes. Furthermore, it leverages the benefits of fuzzy logic in ascertaining the optimal cluster update and sleep cycles by discerning suitable fuzzy descriptors such as the mean data rate, the distance between the head node and the sink, and residual energy. This endorsed strategy optimizes energy efficiency for both Cluster Heads (CH) and Cluster Members (CM), thereby significantly elongating the overall lifespan of the network.
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