Self-Configuration is the core capability that supports Self management in Autonomic computing. An Autonomic computing promises to solve hardware and software evolution problems in wireless sensor networks (WSNs). In case of WSNs the consumption of memory is limited and hence the research focus is to maximize the performance, to improve the Quality of Service (QoS). The basic sensor node architecture in a wireless sensor network consists of sensing unit, transceiver unit, processing unit and memory unit along with the power supply module. Due to the basic nature of the sensor network applications being surveillance, there is a possibility that these networks will be deployed in a remote environment without human intervention. Also the sensor nodes are battery powered tiny devices with limited memory capacity. Because of these limitations of the sensor nodes, in order to self configure the memory for efficient utilization of energy during memory accesses, the architecture can be modified by dividing the memory into multiple banks and including a self-Configurable memory switching controller unit along with a power switching module. This modification will result in energy conservation so that power can be supplied only to the bank or part of the memory being accessed instead of powering the entire memory module thus leading to efficient energy consumption. This leads to increase in node and network life time.

Self-Configure memory-switch energy consumption and Queue Model