Examinando por Autor "Sainz Bedoya, Nekane Ione"

Mostrando 1 - 2 de 2
  • Miniatura
    Ítem
    Cross-layer cluster-based energy-efficient protocol for wireless sensor networks
    (MDPI AG, 2015-04-09) Koyamparambil Mammu, Aboobeker Sidhik; Hernández Jayo, Unai; Sainz Bedoya, Nekane Ione; Iglesia Carril, Idoia de la
    Recent developments in electronics and wireless communications have enabled the improvement of low-power and low-cost wireless sensors networks (WSNs). One of the most important challenges in WSNs is to increase the network lifetime due to the limited energy capacity of the network nodes. Another major challenge in WSNs is the hot spots that emerge as locations under heavy traffic load. Nodes in such areas quickly drain energy resources, leading to disconnection in network services. In such an environment, cross-layer cluster-based energy-efficient algorithms (CCBE) can prolong the network lifetime and energy efficiency. CCBE is based on clustering the nodes to different hexagonal structures. A hexagonal cluster consists of cluster members (CMs) and a cluster head (CH). The CHs are selected from the CMs based on nodes near the optimal CH distance and the residual energy of the nodes. Additionally, the optimal CH distance that links to optimal energy consumption is derived. To balance the energy consumption and the traffic load in the network, the CHs are rotated among all CMs. In WSNs, energy is mostly consumed during transmission and reception. Transmission collisions can further decrease the energy efficiency. These collisions can be avoided by using a contention-free protocol during the transmission period. Additionally, the CH allocates slots to the CMs based on their residual energy to increase sleep time. Furthermore, the energy consumption of CH can be further reduced by data aggregation. In this paper, we propose a data aggregation level based on the residual energy of CH and a cost-aware decision scheme for the fusion of data. Performance results show that the CCBE scheme performs better in terms of network lifetime, energy consumption and throughput compared to low-energy adaptive clustering hierarchy (LEACH) and hybrid energy-efficient distributed clustering (HEED).
  • Miniatura
    Ítem
    Design of monitoring tool for decision making in buildings with solar energy generation
    (Elsevier B.V., 2024) García Quintanilla, José Ignacio; Macarulla, Ana María; Sainz Bedoya, Nekane Ione; Canivell Castillo, Verónica
    The work presented in this article is part of a project that focuses on the field of energy and sustainability and is aligned with the objectives of sustainable development, specifically goal seven, affordable and clean energy, and goal eleven, sustainable cities and communities. The photovoltaic solar installation for self-consumption at the Deusto University's residence hall been modelled using generation data, consumption data, meteorological data, and installation components. Although the actual installation features an anti-feeding system, the model allows to evaluate potential energy surpluses. To achieve this objective, it has been necessary to collect, transform, and thoroughly clean the data from the solar inverters, as well as store them for later representation. To process, visualize, and analyse data, the web application developed allows users to understand quickly and easily the patterns and trends related to energy consumption through various graphics, providing a clear and accessible visual presentation of the data that helps them make decisions to optimize energy consumption. In addition, an application has been developed that allows to assess whether or not removing the anti-feeding system and modifying the contract with the distribution company may be favourable.