Constellation, le dépôt institutionnel de l'Université du Québec à Chicoutimi

Résumé

Snow is one of the most visible aspects of winter, and it has long been considered one of the main factors shaping the winter adaptations of humans. As one of the important technologies in the Internet of Things (IoT), wireless sensor networks (WSNs) have been described as a new instrument for gathering data about the natural world. WSNs in snowy environments can support a wide range of applications such as wild animals tracking, environmental monitoring, and rescue of snow avalanche and winter sports activities. However, the need for identifying a node’s location quickly and accurately within such a network becomes one of great importance. Many of the algorithms that have been published are suitable for specific scenarios. In this paper, based on realistic path loss models for wireless sensor network deployment in snowy environments, we proposed a received-signal-strength-based localization and tracking algorithms in these types of environments.