Load Balancing in a Wireless Sensor Network Using Graph Theory
Abstract
The subject of energy effectiveness in remote sensor organizations (WSNs) is specifically noteworthy to analysts. Energy-saving information collection protocols have been proposed for sensor networks. These protocols are included in the categories of clustering techniques and tree-based approaches. These methods' clustering is better suited for real-time applications and has a significantly higher scalability factor than its predecessor. The significance of the bunching and the affecting variables are talked about in this paper. Using adjacency matrices, we propose a method here for regularizing network nodes.
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