Energy minimization in wireless sensor networks: an efficient heuristic framework for data collection through UAV trajectory planning and power allocation

Tóm tắt

Wireless Sensor Networks (WSNs) play a vital role in modern technology by providing real-time data collection in hard-to-reach areas. Energy efficiency is critical for the sustainability of WSNs, especially in remote environments where maintenance is costly. This paper presents a solution to enhance the energy efficiency of WSNs by integrating Unmanned Aerial Vehicles (UAVs) for data collection. To extend the lifespan of WSNs, UAVs function as mobile data aggregators, minimizing the requirement of energy-intensive long-distance transmissions from sensors. The paper proposes an optimization framework using convex optimization techniques to optimize UAV trajectory and power allocation. Numerical results demonstrate the effectiveness of the proposed solution in reducing power consumption and improving the longevity of sensor networks.