LIFETIME MAXIMIZATION FOR BEAMFORMING APPLICATIONS IN WIRELESS SENSOR NETWORKS

Energy efficiency is a major design issue in the context of Wireless Sensor Networks (WSN). If data is to be sent to a far-away base station, collaborative beamforming by the sensors may help to distribute the load among the nodes and reduce fast battery depletion. However, collaborative beamforming techniques are far from optimality and in many cases may be wasting more power than required. In this contribution we consider the issue of energy efficiency in beamforming applications. Using a convex optimization framework, we propose the design of a virtual beamformer that maximizes the network's lifetime while satisfying a pre-specified Quality of Service (QoS) requirement. A distributed consensus-based algorithm for the computation of the optimal beamformer is also provided.