Mathematical Tools for Optimization of Energy Consumption in Wireless Sensor Networks

In the design and development of Wireless Sensor Networks (WSNs), one of the main challenges is to achieve maximal battery life-time, because of the constrained energy resources. The application of WSNs for real time monitoring contributes to minimization of potential production risks, emerging mainly from environmental influences and human actions. In the paper mathematical tools for optimization of the energy consumption of wireless sensor nodes while collecting distributed data in environmental parameters monitoring will be presented. In this contribution the stochastic optimization method-genetic algorithm is used to minimize the energy consumption of the wireless sensor nodes depending on the frequency of the transmitted data and the period of the transmission process. The optimization is conducted in cases of different scenarios: while the frequency of the transmitted data as well as the period of transmission of all the active components in a sensor node is increasing. (paper)