Battery charge saving in wireless image sensors for remote metering

The paper presents a methodology to reduce the energy consumption of visual sensor node in wireless sensor networks. This methodology, based on a balancing between processing and transmission tasks, can be applied in all those situations where subjective image based measurements are required. Considering that in a sensor node, the transmission task is the most energy consumption, the proposed method tries to find the best compression rate able to give a significant reduction of transmission time, returning adequate and objective image quality and compression time. Some results are presented applying the proposed methodology to a case study: the use of wireless visual sensors to the remote metering of water counters