Data processing and communication strategies for lifetime optimization in wireless sensor networks

The application of wireless sensor networks increased due to the production of inexpensive wireless sensors with the advances at the electronics. Sensors expected to operate at remote places under different conditions without having an infrastructure, because of these the power constraints of the sensors is a very important aspect at the design and applications of wireless sensor networks. Routing algorithms and protocols are developed for the optimization of network lifetime and effective usage of energy at the sensors. Routing of the traffic through the network is an important factor and traffic should be equally splitted between sensors for achieving longer sensor lifetimes. Maintaining longer wireless sensor lifetime is an optimization problem and linear programming is widely used as a solution of the optimization problems. In this study, we also used linear programming for lifetime optimization of wireless sensor networks along with data processing techniques. Our simulation results show that using of data processing techniques with linear programming provides better lifetimes compared to the systems that only use flow optimization strategies.