Eficiência de energia através de coleta periódica em redes de sensores sem fio

Abstract

One of the main applications on Wireless Sensors Networks (WSNs) is the environmental monitoring, particularly in monitoring of the fauna in diverse places like forests, fields, etc. In these environments that are of difficult access, the maintenance of the sensors is impaired and energy restriction becomes a major factor in the life of the network. How in most such cases the data are not needed in real time, in this work is proposed and evaluated a new cross-layer algorithm, called PWAVE, turned to WSNs with periodic data collection, where data transmissions are made through a predetermined interval. While such transfers are not performed, the sensor still collecting information from the environment and turn off their radios to reduce energy consumption. Several other challenges appear before this way of working, for example, the synchronization of clocks, which are readily solved by the algorithm. The results show that the proposed solution is efficient and can save up to 51.2 % of energy with 99 % in the rate of data delivery when compared with similar solutions