O artigo intitulado “FLECHA: a Forecasting eLEction meCHAnism for semantic collectors sensor nodes” foi premiado como melhor trabalho completo no XV Workshop em Desempenho de Sistemas Computacionais e de Comunicação (WPerformance). O evento foi realizado em Porto Alegre de 4 a 5 de julho de 2016 em conjunto com o XXXVI Congresso da Sociedade Brasileira de Computação (CSBC). O trabalho premiado é fruto da coorientação de mestrado do prof. Leonardo Moreira no Programa de Pós-Graduação em Engenharia de Teleinformática (PPGETI/UFC).
Autores: Maurício Moreira Neto, Leonardo Oliveira Moreira, Danielo Gonçalves Gomes
Abstract. Due to the resource constraints of the sensor nodes, energy provisioning in wireless sensor networks remains a challenging task, particularly in outdoor scenarios. Among the literature proposals to mitigate this problem, we highlight semantic clustering as a recent energy-efficient technique for prolonging the network lifetime. In semantic clustering, each cluster has a semantic leader (collector) which is periodically elected according to an energy-related criterion. However, since collectors’ energy depletion is faster than the others members of their cluster, suitable election mechanisms are required to avoid the energy hole problem. Here we propose FLECHA, a mechanism based on the ARIMA model to predict semantic collectors elections with leader-node alternation. Our hypothesis is that by anticipating the best candidates to semantic leaders, we can improve the energy-saving at the node-level, and hence allow the network lifetime to be further extended.