Técnica de otimização de energia para RSSF

Abstract

Wireless Sensors Network (WSN) based systems, are traditionally used to monitor events in places with limited human access. A WSN is formed by a group of devices called sensors node, each responsible for transporting monitored data to a certain destination and performing other programmed tasks in order to comply with further objectives of the proposed system. Since power consumption is one of the main challenges associated to the use of WSNs, techniques to minimize such energy consumption of a complete WSN or even in one sensor node, have been object of extended research. Maximizing the lifetime of the network can be obtained throughout better data package management or by reducing the adopted transmission power, for example. It is important to note that this optimization is limited by the process delay of the sensor node itself, as well as by interference causing an increased error rate, which itself affects the data packet transmission between source and destination. In this context, this work proposes a technique able to stimulate individually tailored behavioral changes regarding the data packets analysis and the consumption energy thought certain transmission path in each sensor node. It called Path Energy Control Technique (PECT).In more details, the PECT is based on the adjustment of the power transmission from on the analysis of the Received Signal Strength Indicator (RSSI) and a quality metric is assigned to paths, where the data packets flow between nodes. This metric is calculate from the efficiency in the data packet’s reception, from the disturbance in the path, as well as the data packet sending frequency due the number of sensors nodes for the specific neighborhood. It should be mention the PECT technique will be represented by a algorithm to be development in this work which will be implemented at application level, guarantying portability, independent from the hardware used for the WSN. In addition, the PECT is able to manage the data transmission frequency and to support different network topologies, including multipath topologies. Finally, the PECT technique is validated through simulations and the results were obtained from the evaluation of the efficiency. The techniques’ robustness is analyzed and compared with other techniques from literature.