3DVS: Node scheduling in underwater sensor networks using 3D voronoi diagrams

摘要

Energy is often a critical resource for underwater sensor networks. Underwater nodes usually have their life restricted to the initial charge of their battery, since recharging them may be impractical. This fact directly impacts sensing and monitoring applications, where a set of nodes is expected to cover and sense some region as long as possible. So, energy saving methods are very important for these networks. In this sense, this paper presents 3DVS: a method to perform node scheduling in underwater sensor networks that aims to extend network lifetime, while maintaining connectivity. 3DVS chooses only a subset of the network nodes to remain active so that the others can save their energy for later use. To do so, it uses 3D Voronoi Diagrams to decompose the space into regions around each of the nodes and so be able to determine those that can sleep for some time. Through simulations, we show that the proposed method is able to increase the network lifetime, guarantee connectivity and sensed data delivery and reduce network traffic. (C) 2019 Elsevier B.V. All rights reserved.