| Revue: | Computación y sistemas |
| Base de datos: | |
| Número de sistema: | 000560623 |
| ISSN: | 1405-5546 |
| Autores: | Rivero Angeles, Mario E.1 Orea Flores, Izlian Y.2 |
| Instituciones: | 1Instituto Politécnico Nacional, Centro de Investigación en Computación, México 2Instituto Politécnico Nacional, Unidad Profesional Interdisciplinaria en Ingeniería y Tecnologías Avanzadas, México |
| Año: | 2021 |
| Periodo: | Oct-Dic |
| Volumen: | 25 |
| Número: | 4 |
| Paginación: | 843-849 |
| País: | México |
| Idioma: | Inglés |
| Resumen en inglés | In Wireless Sensor Networks (WSNs), a clustered architecture is generally used to reduce energy consumption irrespectively of the application of the system. We prove in this work that, a clustered network only reduces energy consumption if aggregation or compression functions are enabled. Furthermore, a clustered network would consume much more energy if clustering techniques without the use of aggregation/compression (or a low aggregation coefficient) due to the extra consumption in the cluster formation phase. As an additional feature, a general energy consumption model based on the notion of energy units is developed that can be easily extrapolated to either theoretical or experimental values. Hence, the proposed analytical framework is valid for any commercial node or energy consumption model. |
| Keyword: | Wireless sensor networks (WSN), Aggregation, Clustering, Energy consumption |
| Texte intégral: | Texto completo (Ver HTML) Texto completo (Ver PDF) |
