Cognitive symbiotic network planning for energy consumption reduction in wireless sensor networks

The concept of cognitive symbiotic network planning is introduced as a way to improve the use of available resources and infrastructure and the overall performance of co-located wireless networks. A real-time network planner is designed that jointly optimizes different networks that cooperate based on shared incentives. Feedback about the signal quality parameters allows monitoring of the network, optimizing path loss models, and coping with a changing propagation environment. The concept is applied to and validated with a real-life wireless test environment for the specific incentive of an energy consumption reduction. A global reduction of more than 75% is obtained.