Power Optimization for Geographic Routing Algorithm in Wireless Sensor Network Using Ti MSP430

Abstract

A wireless sensor Network consists of a small battery operated sensors. After successful deployment of sensor nodes, it is often unfeasible to re-charge sensor nodes or replace batteries. Another major problem in wireless sensor network is the broken connectivity between sensor nodes due to power sources that drain out of power. To overcome these major drawbacks, optimized power consumption strategies need to be developed either by doing optimization in hardware or by using efficient software techniques. Power consumption constraints in WSNs require efficient task distribution among various components of wireless sensor node (i.e. radio transceiver, sensing device and computation device). Most techniques use method that will switch off transmitter & receiver according to some strategy to save power but they do not consider power saving in the processor. This project proposes novel approach for routing algorithm of wireless sensor network that will optimize the power using ultra low power micro controller. This ultra low power micro controller works in different low power modes which have different power consumption statistics. The different routing algorithms have different requirements for execution on various sensor node components so based on requirements, the processor need to schedule the code so that processor will use best low power mode to execute that code on different nodes. In real application like routing in sensor network, most of the time sensor node has only one or few components that are in active state. So the power of the remaining components that are inactive will simply be wasted. The proposed routing method will put the processor into low power mode whenever it finds the components in the inactive state. When component is once again in the active state, that component will generate an interrupt which will change the mode of the processor from low power mode to regular mode.