Self-organizing and energy-efficient network of sensors

In this paper, our focus is on improving the energy consumption of sensor nodes in large networks. A sensor's durability and reliability depend on its battery's capacity and on the energy consuming tasks it performs in order to fulfill its functions. To achieve this goal, we propose a new "biomorphic" paradigm that imports solutions to existing engineering problems from the biological world. We show that this paradigm offers better solutions through the introduction of an additional type of sensor node and allowing the network to self-organize and "learn". This allows the network to perform better in a dynamical environment in accordance to its acquired knowledge. Simulation results show an improvement in energy utilization, and therefore, an increase in the life of the sensors and their networks.