## 2 Related Work  
Wireless Sensor Networks (WSNs) are a series of electronic chips working collectively to gather, process, and analyze information from several environments, allowing the construction of a global network of intelligent devices. In this global network, data are sensed and shared among its sensor nodes, generating and sending information to be analyzed by a centralized or distribution system. The use of many embedded devices to process and communicate information produces many data to be transmitted and stored, which can give rise to high costs. Moreover, the achievement of an optimal-network performance depends on the following aspects: the placement of nodes, its efficiency on handling many data, the interoperability between devices with different technologies, appropriate identification for each device, security and protection of devices, confidence in data collected, energy consumption in devices, and efficient use of radio frequency spectrum between devices making up the network or from other systems [7]. Therefore, different works have considered several approaches to efficient-energy consumption during data transmission in WSNs. [PERSON] et al. [8] proposed the reliable and energy-efficient routing (REER) protocol based on some centralized and distributed power control techniques for guaranteed routing of WSNs, addressing the cases of a single emission and many emissions in the presence of unreliable links, and taking into account link error rate as a function of transmission rate. They found that routing of an emission used less power because it had unreliable communication links, while power used during many emissions was very close to optimal, concluding that the second alternative was better for achieving energy savings during data transmission throughout WSNs. However, they did not consider how interference caused by transmission from other sensor nodes affects power consumption within the WSNs. [PERSON] et al. [9] developed the delay-energy tradeoff with reliable communication (DETR) protocol to make energy consumption more efficient by applying industrial control in WSNs, guaranteeing quality, real-time delivery and reliability in data transmission. In DETR, a node first calculated its power consumption, delay, and reliability using local information generated by its neighboring nodes, to chose which node would receive its data packet. The candidate node to take the next jump would be the one with the highest level of residual energy within a set of nodes. As for real-time delivery, the node with the highest speed would be chosen to take the next jump. In addition, to achieve greater reliability, the route having the best reliability would be selected, instead of discarding packets. The simulation results show that the DETR generated the best performances, compared to the SPEED and AVR protocols, in terms of energy consumption, network life, and transmission delay. [PERSON] and [PERSON] [10] proposed the use of WSNs as part of an expert monitoring system for power generation. Through solar and wind energy, this type of smart grid is an efficient means of electricity transmission at low cost and high security. In addition, an efficient energy-saving mechanism monitored with a minimum of energy was used and it displayed results in the web browser. [PERSON] and [PERSON] [11] developed a system with both mobile and web browser applications to monitor environmental conditions. The data collected were stored in the cloud where they were analyzed to have insight of the prevailing conditions. This system was tested in a laboratory as well as telecomm server for getting data that indicate the reliability of their proposal and its successful application for monitoring humidity and air temperature in both places. This proposal had the possibility of warning the user of any change in configured value ranges through email that could bring the possibility of making changes due to the conditions and keeping a history of its behavior for future analysis. [PERSON] et al.