Wireless micro-sensor networks lend themselves to energy and quality exchange. By ensuring that the system runs at a minimum power for each quality point, the system can achieve flexibility and energy efficiency, allowing the end user to maximize the life of the system. The results of the simulation show that the proposed adaptive clustering protocol effectively produces optimal power consumption for wireless sensor networks and results in an extension of the network lifetime. The preparation phase is only done once before the preparation phase of the first round. The processes of following the preparation and steady state phases in each round are the same as those of LEACH. The simulations show that LEACH can achieve as much as a factor of 8 reductions in energy dissipation compared to conventional routing protocols. In addition, LEACH is able to distribute energy dissipation evenly across the sensors, doubling the useful life of the system for the networks we simulate.
Currently there are several technologies to provide users with wireless connectivity. The challenges in the hierarchy of detecting relevant quantities, monitoring and collecting data, evaluating and evaluating information, formulating meaningful user views, and performing decision-making and alarm functions are enormous. The information needed for intelligent environments is provided by Wireless Sensor Networks, which are responsible for the detection as well as the early stages of the processing hierarchy. Security has become a huge task in wired and wireless networks. Sensor networks are self-organized networks, making them suitable for dangerous and harmful situations, but at the same time making them targets easy to attack. For this reason we must apply some level of security to make it difficult to be attacked, especially when used in critical applications. Wireless Sensor Networks (WSN) are special types of ad hoc networks that became one of the most interesting areas for researchers to study. The most important property affecting these types of network is the limitation of available resources, especially energy. This organization provides energy savings, and that was the main idea to propose this organization.
LEACH (Adaptive Hierarchy of Low Energy) added another interesting problem to this type of network. By means of the analysis of the advantages and disadvantages of the conventional hierarchy) Protocol was developed a protocol based on the clustering that minimizes the energy dissipation in networks of sensors. This work focuses on LEACH (Low Energy Adaptive Grouping Iron), a communication protocol for micro sensor networks. LEACH collects data from distributed micro sensors and transmits them to a base station. The LEACH (or LEACH) low energy adaptive clustering hierarchy was one of the first major improvements in conventional cluster approaches in wireless sensor networks. Conventional algorithms of approaches such as MTE (Transmission-Minimum Energy) or direct transmission do not even lead to dissipation of energy through a network. LEACH provides a balance of energy use by random rotation of cluster heads. The algorithm is also organized in such a way that data fusion can be used to reduce the amount of data transmission.